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Atlassian offers flexible work options (office, home, or hybrid) with a preference for the San Francisco Bay Area or US West Coast, but they can hire from anywhere with a legal entity. The Lead Design Technologist leads projects across multiple departments and delivers scalable design technology solutions that empower product builders and accelerate AI-enabled workflows. They join the Design Technology team within Core Design, a multidisciplinary group that partners with product, engineering, and accessibility to create scalable, inclusive design solutions at enterprise scale. Responsibilities include delivering high-quality solutions across multiple workstreams, championing rapid prototyping and user testing, mentoring other designers and technologists, and identifying opportunities to improve workflows through custom tooling and AI/LLMs. The role requires advanced skills in JS frameworks, prototyping, and motion design, along with co-creating sense-making artifacts and driving adoption of best practices in design technology.

Zendesk is seeking a Senior Platform Architect for its Contact Center Center of Excellence to design scalable, integrated customer service solutions using Zendesk, Amazon Connect, and AWS. Key responsibilities include architecting and optimizing CC solutions, defining long-term technical strategy, mentoring presales, driving AI/automation innovation, ensuring security and compliance, supporting pre-sales activities, producing technical documentation, and engaging with vendors and partners. Qualifications include a minimum of 10 years in sales engineering (at least 5 in contact center technologies), strong experience with CRM, Amazon Connect, and AWS services (Lambda, Lex, IAM, DynamoDB, S3, API Gateway), and preferred Python/NodeJS; demonstrated leadership and strong communication and problem-solving skills. Preferred credentials include Zendesk certifications and AWS Certified Solutions Architect, plus omnichannel CC experience, workforce engagement management, analytics, and Agile/DevOps experience; US OTE $200,000–$300,000 with 80/20 base/commission and potential bonuses. Zendesk is an equal opportunity employer that supports hybrid work, informs applicants about AI screening, is committed to diversity and inclusion, and provides accommodations for disabilities upon request.

Zendesk is seeking a Senior Director to lead the global AI Services Consulting function, setting strategy and guiding senior leaders to deliver fast, measurable customer outcomes from Zendesk AI. You will own the global strategy and operating model, establish portfolio strategy, governance, and delivery standards, ensure staffing for the work ahead, and partner with Sales, Customer Success, Product, Engineering, and executives to translate insights into roadmaps and scalable growth. Your overarching objective is to build a high-performing organization at global scale, define outcomes and performance metrics, and create a repeatable go-to-customer motion aligning cross-functional teams on roadmaps, packaging, and investment priority. Qualifications include 12+ years in professional services or related enterprise SaaS roles, 8+ years of leadership, senior-level go-to-market and operating-model expertise, strong AI/product fluency, and a Bachelor's degree (advanced degree preferred) with proven executive influence and delivery performance. The role offers a US OTE of $270k-$406k (80/20 base/commission), potential bonuses, a hybrid work arrangement with partial in-office requirements, and Zendesk’s commitment to diversity and accommodations, including AI screening in the application process.

Atlassian lets employees choose where they work—office, home, or a hybrid arrangement—to better support family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The Expert Product Selling function aims to be a knowledge leader in Service Management trends to inform sales strategies and Jira Service Management positioning. Sales Strategy Development involves collaborating with sales teams to develop and execute strategies that drive revenue growth, and Customer Engagement focuses on understanding customers' business needs to propose value-based solutions. Cross-functional Collaboration entails working with Account Executives, Marketing, Account Management, Product, and Partner Management to align on sales strategies and explore co-selling opportunities.

Atlassian offers flexible work options, letting employees work in an office, from home, or in a hybrid arrangement. They can hire people in any country where the company has a legal entity. The role includes acting as a knowledge leader in Service Management trends to inform sales strategies and the positioning of Jira Service Management. It involves collaborating with sales teams to develop and execute strategies that drive revenue growth, and engaging with customers to understand their business needs and propose value-based solutions. There is cross-functional collaboration with Account Executives, Marketing, Account Management, Product, and Partner Management to align on sales strategies and explore co-selling opportunities.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to support employees' family and personal goals. They are looking for product-minded Principal Engineers who are hands-on senior individual contributors bridging deep technical craft and strong product judgment. The role owns customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, APIs), shaping what gets built and delivering measurable outcomes. Responsibilities include making architecture and technical decisions aligned with user and business outcomes, using telemetry and metrics to guide design, and building AI-enabled experiences with LLMs for millions of users. Additional duties involve setting technical direction, partnering with product managers, designers, and platform teams, raising the engineering bar through mentoring, and driving high-leverage problems from prototype to scalable production systems.

The Professional Services organization at Miro focuses on helping Enterprise customers achieve exceptional outcomes through the Innovation Workspace, pairing strategic advisors, implementation experts, and forward deployed consultants to transform collaboration and innovation with agentic AI on Miro’s platform. As a Forward Deployed Consultant, Manufacturing, you will apply AI solutions to transform and automate core operating processes for leading industrial enterprises, directly engaging C-level executives to identify high-impact opportunities, build and test enterprise-grade AI on their data and systems, and drive measurable business outcomes at the intersection of strategy, operations, and technology. You’ll pair with an Account Executive, lead Manufacturing-specific depth, run Validation Sprints—from scoping to charter to end-to-end delivery—rebuilding five workflows (NPD/gate, quality/CI, portfolio/program, operations/launch readiness, and process development/transformation) using Miro’s AI Workflows, prototypes, and API/ERP/PLM/MES integrations. You will turn Sprint outcomes into a business value story with ROI and KPI baselines, co-create the partnership proposal and commercial approach, and define the post-sale Professional Services scope while sharing learnings internally and externally. The role requires 8+ years in top-tier consulting or enterprise transformation with deep manufacturing process knowledge (NPI, APQP, quality systems, S&OP, lean), fluency with ERP/PLM/MES/quality ecosystems, strong GenAI and technical skills, a finance-friendly ROI storytelling ability, boardroom and plant room comfort, self-direction, and up to 40% travel; benefits include equity, wellbeing support, equipment allowance, and an annual Learning & Development stipend within a diverse, inclusive culture at Miro.

Miro is inviting expressions of interest for SMB and Commercial Account Executive roles, noting the pipeline is future-focused though some openings may be live now, and applicants should check the careers page while joining a talent community for this team. They review every profile, may flag candidates for potential future matches, start with a casual recruiter chat if there’s a fit, and will not begin a formal multi-stage interview until a role is officially open, keeping the pool active for new headcount. SMB AEs handle 1–500 employee targets in a high-volume, fast-cycle environment, while Commercial AEs handle 500–3,000 employee accounts with deeper, multi-stakeholder deals and a broader strategic process. In both roles you own the full sales cycle from prospecting to close, generate and manage pipeline, apply MEDDPICC and Command of the Message for value-led discovery, pursue net-new logos with expansion signals, forecast in Salesforce, and collaborate across Renewals, CS, Marketing, and Solution Engineering/Value Advisory as appropriate. Required qualifications include MEDDPICC and Command of the Message, high-velocity prioritization and adaptability, Salesforce plus Outreach and Gong, and AI fluency; SMB requires 1–4 years of SaaS/B2B sales with some full-cycle closing, while Commercial requires 2–5 years with mid-market experience, and the benefits include equity, wellbeing support, a WFH equipment allowance, a Learning & Development stipend, along with Miro’s commitment to diversity and belonging and a Recruitment Privacy Policy.

Miro invites expressions of interest for future opportunities with its Enterprise and Strategic teams, notes that some related openings may be live now, and directs candidates to the careers page for current roles while joining this team’s talent community; the process includes profile reviews, casual introductory chats if there’s a potential match, and no formal multi-stage interviews until a role is officially open, with the pool kept active and prioritized for new headcounts. The Enterprise and Strategic teams are central to Miro’s evolution from a collaboration product to an AI-powered innovation workspace; Enterprise AEs work with large organizations (3,000–15,000 employees) and Strategic AEs manage a portfolio of Fortune 500/Global 2000 accounts, with multi-threaded, multi-year deals, in tightly coordinated PODs with Solution Engineering, Customer Success, Value Advisory, Professional Services, and executive leadership. In this role you’ll own a named account territory or portfolio (Enterprise: net-new logos and growth; Strategic: deep account strategies across 3–10 global enterprise customers) and run complex, multi-threaded sales cycles, map stakeholders, build champions, create irrefutable business cases tied to initiatives and outcomes, and drive expansion through high-value workflows. You’ll connect Miro’s platform to measurable customer outcomes, build executive alignment, and lead cross-functional teams to win, while creating and managing a strategic pipeline and forecasting with MEDDPICC and value selling. What you’ll need includes expert-level MEDDPICC, strong executive presence across technical and business personas, deep account planning, cross-functional deal leadership, and AI fluency; Enterprise requires 5+ years of B2B SaaS sales with ARR closes of $50k–$100k+ and 3–12 month cycles, while Strategic requires 10+ years of SaaS sales experience with Fortune 500/Global 2000 exposure and $250k–$1M+ opportunities; the package includes equity, wellbeing benefits, a WFH equipment allowance, an L&D stipend, and a diverse, collaborative culture, with Miro’s Recruitment Privacy Policy guiding personal data handling.

Miro is hiring a Senior Threat Detection & Intelligence Engineer who will operate at the intersection of threat intelligence, detection engineering, and incident investigation, turning messy signals into clear attacker narratives. The role sits in the Cloud Security & Detection & Response (CSDR) team, which focuses on translating external threat intel into actionable detections, building high-fidelity detections for cloud and SaaS, leading investigations, and driving security by design with engineering. Responsibilities include tracking emerging threats relevant to cloud/SaaS, designing context-aware detections across cloud, identity, and application layers, leading end-to-end investigations, guiding incident response, and collaborating with engineering to raise security maturity. Requirements include 5–7 years in security with 2+ years in threat detection/intelligence/investigations, cloud-native SaaS experience (AWS preferred), strong investigation skills, Python automation, SQL querying, familiarity with cloud telemetry and IaC, and the ability to translate risk into business terms. The role offers opportunities to shape how threat intelligence is used, work on real attacker behavior, room to experiment with detection capabilities, close collaboration with engineers who value security as an engineering problem, and benefits such as equity, wellbeing support, equipment allowance, and a Learning & Development stipend, within Miro’s commitment to diversity and inclusion.

The Professional Services team at Miro seeks a GTM Lead/GM of Fashion who will report to the Head of Professional Services and work cross-functionally with Product, Engineering, Marketing, and GTM to build Miro’s new fashion vertical from the ground up. You will own the strategy, go-to-market, and commercial success of Miro for Fashion, creating specialized workflows and solutions across design, planning, production, merchandising, marketing, and retail to demonstrate how Miro fits fashion businesses and prove the model deal by deal. Your responsibilities include defining zero-to-one fashion workflows, identifying use cases, targeting accounts and buying committees, carrying early deals, partnering with GTM, Product, and Engineering on roadmap decisions, representing Miro for Fashion at events, and building the team and operating rhythm as the vertical scales. Non-negotiable requirements include deep fashion experience, end-to-end season experience, hands-on use of digital tools to solve seasonal problems, and comfort selling; strongly preferred are enterprise sales experience, ability to map buying committees, presence in industry conversations, and a leadership style that builds trust and acts without a rigid playbook. What’s in it for you includes equity and benefits, location-based salary ranges for LA, SF, and NY, a supportive, diverse culture at Miro, and information about Miro's mission, collaboration, and diversity/inclusion, along with the Recruitment Privacy Policy.

The GTM Lead for Manufacturing will help build Miro’s new Manufacturing vertical from the ground up, reporting to the Head of Professional Services and partnering with Product, Engineering, Marketing, and other GTM teams. The role owns the zero-to-one development of dedicated manufacturing solutions—turning Miro’s existing manufacturing footprint into a defined, scalable business and guiding the model deal-by-deal, including identifying use cases and translating them into a product and sales narrative. You’ll identify target accounts, map champions and buying committees, drive early deals, align GTM with the industry, collaborate with Product and Engineering on roadmap decisions, and represent Miro externally at events and in analyst ecosystems while building the team as the vertical scales. Requirements include 10+ years in manufacturing operations and consulting (3–4 years at Engagement Manager/Associate Partner level), manufacturing-operator experience, bilingual abilities for plant-floor and ROI conversations, and senior VP-level relationships, with a preference for hands-on prototyping in Miro and enterprise sales experience. What’s in it for you: equity and benefits, a learning stipend, a WFH equipment allowance, location-based salary ranges for LA, SF, and NY, and a culture that emphasizes diversity, inclusion, and collaboration.

Miro's Customer Support team aims to help customers quickly solve problems so they can continue innovating, with the AMER group based primarily in Austin and operating in a hybrid model (2 days per week in the hub) while staying flexible for a global team. The Manager, Customer Support AMER will lead the regional Tier 2 and Tier 3 teams and oversee Tier 1 outsourced support for AMER time zones, reporting to the Global Head of Customer Support and collaborating with leaders in EMEA, JPAC, and the Support Excellence group. Responsibilities include building a high-performing mixed team, driving key metrics (CSAT, QA, SLA, AHT, backlog), managing escalations, partnering with Customer Success, Sales, and Professional Services on strategic accounts, and coordinating with Tier 4 escalation and cross-functional teams to improve the customer experience. Requirements include 5+ years in customer-facing tech roles, 2+ years of people management, experience with outsourced/BPO support, strong data-driven decision-making, coaching, servant leadership, and cross-functional collaboration, with Portuguese or Spanish proficiency being a plus. The role offers a global benefits package (equity, wellbeing, WFH equipment, and L&D stipend) and aligns with Miro's commitment to belonging, diversity, and inclusion as it aims to empower teams to create the next big thing.

The CSM team is part of Customer Experience and works with Enterprise customers to drive adoption, retention, and expansion of Miro’s platform. The role is a strategic Global Customer Success Leader responsible for building and coaching the Americas and Japan/Apac teams, partnering with sales, services, and cross-functional leaders, developing executive relationships with large customers, and personally engaging with 10K+ employee accounts. Responsibilities include coaching teams, improving customer lifetime value through higher product adoption, health scores, satisfaction, retention and expansion, and participating in revenue and health forecasting while delivering a best-in-class customer experience. Requirements include 10+ years in strategic or enterprise CS or account management leadership with a track record of meeting targets, 7+ years leading CS/AM teams at a high-growth B2B SaaS company, experience hiring and enabling CSMs, strong cross-functional communication, and a solid understanding of AI, Enterprise SaaS, and collaboration technology. Benefits and about Miro: global benefits include equity, wellbeing, a WFH equipment allowance, and an annual Learning & Development stipend; Miro emphasizes diversity, belonging, and an inclusive culture, and provides information about the company’s mission and life at Miro.

- Appfire is a remote-first SaaS company with 800+ employees across 28 countries, offering flagship tools like JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture to help teams collaborate. - They are seeking a Vice President, Product Management, Platform & Innovation to lead the Appfire Platform, the Innovation portfolio, and the Atlassian technical relationship, defining vision, strategy, and roadmaps, with success measured by platform adoption, innovation pipeline quality, and revenue from new products. - The role covers Platform Product Leadership, Innovation and New Growth, and Atlassian Relationship management, requiring 10+ years in product management including 5+ years leading teams, strong technical fluency across APIs, cloud architecture, security and compliance, and the ability to translate investments into measurable outcomes. - Preferred experience includes work within the Atlassian ecosystem (Forge, Marketplace) and operating cloud services at scale, with commercial ownership of a substantial XaaS portfolio and AI-enabled platform capabilities. - Appfire offers equity, generous benefits (including unlimited PTO and 10 paid holidays, 100% company-paid health insurance, CSR volunteering days, remote-work stipend, and wellness programs) and is committed to equal opportunity.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where there is a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product and to serve as the technical authority for enterprise customers after the sale. The role involves leading technical implementation with Customer Success Managers across onboarding, complex integrations, and system architecture to ensure a smooth transition from evaluation to production. It also includes architecture and strategy work, with deep-dive sessions to map customers’ long-term goals to the DX platform and designing custom solutions that connect DX APIs to complex environments. Additional responsibilities include consultative implementation, acting as a trusted advisor on best practices for DX analytics and deployment, and feeding back to product and engineering to influence the roadmap.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. As a Principal ML Engineer in the Rovo & AI Engineering org, you’ll work on Rovo Chat, delivering bleeding-edge innovations and building agent harnesses that deliver a step-function improvement in quality, reliability, and latency, from design to launch. You’ll set the technical vision, architect scalable ML and evaluation systems, advance agentic capabilities across reasoning and planning, and close the loop between evaluation and product impact. You’ll lead cross-organizational initiatives, establish reusable methods and quality standards, and multiply impact through mentorship and technical leadership. The role requires a track record of shipping large-scale ML/AI systems (including LLM-powered products), hands-on production engineering skills, and strong leadership, judgment, and communication.

Atlassian offers flexible, distributed work options with virtual interviews, hires in any country with a legal entity, and guidance at go.atlassian.com/distributed. The internship runs 12 weeks between May/June 2027 and August/September 2027; it is not eligible for F-1 or J-1 visas and does not provide work sponsorship. The Office of the CMO (OCMO) internship will build the OCMO Insight Engine—an AI-powered tool that turns marketing performance data into concise, decision-ready insights for senior leaders, using Atlassian tools, Rovo, and responsible AI practices, and you will design and build agents to ingest data, detect significant changes, draft executive-summary bullets, flag low results, and produce a one-screen pre-read. You’ll establish a human-in-the-loop validation process, test outputs for accuracy and executive tone, document the workflow for ongoing use, and measure impact including time saved and adoption, while exploring related automation opportunities. Success means delivering a working multi-source insight workflow, executive bullets for material changes, automated low-performing-key-result flags with prompts, a self-rebuilding month-over-month trend view, a concise CMO pre-read, demonstrations in two consecutive monthly cycles, and a packaged QA process with quantified time savings.

Atlassian is a distributed-first company where employees can work from home or global offices, with virtual interviews and hiring limited to countries where it has a legal entity. This internship is paid, runs for 12 weeks between May/June 2027 and August/September 2027, and is not eligible for F-1 or J-1 students or work sponsorship. The Customer Engagement Marketing Intern will focus on persona-based marketing to C-suite and enterprise decision-makers globally, auditing executive-facing content and assets and packaging them into connected nurture streams across the customer journey. Deliverables include a persona-based content packaging framework, a pre/during/post-event nurture map, and a reusable C-suite messaging playbook, produced in collaboration with the Brand Marketing Intern to ensure consistency of Atlassian's AI and enterprise narrative. Minimum qualifications include the ability to distill complex information, storytelling influence, and curiosity for marketing, current enrollment in a Bachelor's program returning after the internship and graduating by June 2028, a full-time 40-hour/week commitment, and eligibility limited to entry-level candidates with less than a year of professional experience.

- Atlassian supports distributed work with virtual interviews and hires in any country where it has a legal entity; the paid internship runs 12 weeks from May/June 2027 to August/September 2027, and this role is not eligible for F-1/J-1 and does not offer visa sponsorship. - Atlassian's Intern program combines hands-on technical training, professional growth, dedicated mentorship, and strong social connections to set interns up for a successful and impactful career. - The Global Demand Campaigns internship focuses on helping teams worldwide—from startups to Fortune 500s—maximize Atlassian tools by collaborating with Demand Gen Strategists, Product Marketing, and Marketing Operations to create and launch campaigns, with exposure to AI marketing programs. - Intern responsibilities include piloting a closed-loop AI account engagement engine (The Brain) that ranks target accounts and next-best actions, analyzing enriched account intelligence, and building an AI nurture agent (The Hands) that executes outreach with a human-in-the-loop, plus Slack alerts to sales. - Key deliverables and measures of success include an enrichment layer, propensity/next-best-action model, a working AI nurture agent, an account brief generator, Slack delivery when accounts become sales-ready, a controlled pilot with a playbook, and a measurable MQL-to-SQL lift plus improved account progression and overall craft quality.

Zendesk is hiring an Enterprise Account Executive to drive growth in AI-driven customer-experience solutions by building trusted relationships with high-value enterprise accounts and expanding Zendesk’s footprint. The role involves creating and executing quarterly territory and account plans, leading complex, multi-stakeholder sales cycles, and expanding AI/automation adoption to improve outcomes while maintaining a robust pipeline and accurate forecasting. Candidates should have 8+ years of cloud/software B2B sales or solution engineering experience, a proven track record in enterprise tech sales with multi-month cycles and executive stakeholder management, strong quota attainment, and proficiency with tools like Salesforce, Outreach, Clari, Seismic, and Looker. The position emphasizes new logo acquisition, AI-enabled value selling, strategic closing, and cross-functional collaboration, with a US OTE range of $283k-$425k (50/50 base/commission) and potential bonuses or benefits. Zendesk promotes hybrid work, an inclusive culture, and equal opportunity; AI screening, accommodations, and accessibility support are described, and the employer commit to AA/EEO/Veterans/Disabled principles.

The Finance & Strategy team advises C-level decision makers, and the Senior Finance Manager will influence relationships with Product & Engineering to scale the product roadmap through high-precision forecasting and financial modeling. Responsibilities include serving as the lead partner to Product Development, conducting financial modeling for product launches (TAM/SOM, ARR targets, COGS, and Opex), performing analyses to drive value and strategic recommendations, and delivering timely KPI and forecast reporting. Minimum requirements include 10+ years in technology/finance/consulting fields, advanced financial modeling skills in Excel/Google, strong analytical and communication abilities, and experience with planning tools and systems such as Adaptive or Hyperion. The US base salary range is $146,000–$220,000, with potential bonus and benefits; the posted figure reflects base pay only, and actual offers depend on experience and location. Zendesk emphasizes a fulfilling, inclusive culture with hybrid work options, is an equal opportunity employer, and may use AI screening for applications in line with company guidelines and applicable law, with accommodations available for applicants.

The role is an AI Sales Specialist (quota-carrying overlay) working with Zendesk’s Core Account Exec team to drive growth and adoption of the AI product suite in the EMC segment across the AMER region, through prospecting, product demos, and deal closure. Responsibilities include owning sales quotas within a defined Zendesk territory, collaborating with Core AEs on revenue strategies for existing and new accounts, engaging customers with a value-based selling approach, leading AI proof-of-concept projects, partnering with the AI Success team to identify expansion and cross-sell opportunities, assisting with commercial modeling to maximize ARR, and maintaining a willingness to travel as needed. You’ll act as an AI sales enablement expert, ensuring updates, plays, and market insights are communicated to assigned Core AEs to support prospecting and qualification. The role requires strong people and collaboration skills, the ability to build long-term relationships with sales teams and leadership, and the capability to craft and present tailored AI demos that showcase practical AI applications in contact centers. Compensation includes a US annualized OTE of $282,000–$422,000 (60/40 base/commission) with potential bonuses and benefits; Zendesk promotes a hybrid, inclusive workplace and is an equal opportunity employer that provides accommodations for applicants with disabilities.

Sentry helps developers fix errors and performance issues quickly, is trusted by 200,000+ organizations, and is building an AI-native future. The Revenue Operations role spans Analytics, GTM Technology, and Deal Desk, and you’ll work across all three rather than only after deals land. You’ll spend roughly half your time on deal desk ownership and half on broader Rev Ops—process design, systems and tooling, reporting, and cross-functional projects—to reduce friction and enable self-service for reps. Responsibilities include end-to-end deal processing (quotes, discount review, order forms, approvals), mastering CPQ and Salesforce integration, creating playbooks and guardrails, and surfacing insights to inform pricing decisions. Qualifications include 5+ years in Deal Desk or Revenue Ops at a B2B SaaS company, hands-on CPQ experience with Salesforce, full deal lifecycle expertise, strong analytics, and experience with AI tooling; Sentry is an equal opportunity employer with accommodations available and an applicant privacy policy.

Sentry is an open-source, AI-native application monitoring company trusted by over 200,000 organizations, helping teams fix errors faster. The Staff Machine Learning Engineer role on Sentry’s AI/ML team will develop models and agents to make the product smarter, handling issue triage, resolution, and predictive analytics. You’ll build state-of-the-art agentic AI systems, leverage Sentry’s large dataset of errors and performance data, and own major AI initiatives. Qualifications include 4+ years with an MS/PhD (or 6+ years with a BS) in computer science or ML, production-grade agentic systems, Python, PyTorch, scalable deployment, and experience mentoring or leading teams. The position offers a base salary of $240k–$400k plus benefits, with Sentry committed to equal opportunity, accommodations, and transparent applicant privacy policies.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, trusted by 32,000 organizations including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft. The company’s open source tools are downloaded more than 100 million times per month and have earned over 30,000 GitHub stars, with brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. The Senior People Partner role in the U.S. partners with Engineering and Product leaders (and supports G&A) to translate business priorities into practical people plans, coach on organizational design and talent development, and collaborate with EMEA and APAC to ensure a consistent employee experience. Requirements include 8–10 years of HR Business Partner or People Partner experience, preferably with R&D/Engineering and Product, strong business acumen, data-driven decision-making, and excellent cross-functional communication across time zones. SmartBear emphasizes a diverse, inclusive workplace, equal opportunity employment, pay transparency, and total rewards including a base salary range of $135,000–$162,250 USD plus potential bonuses, with hybrid work options and offices worldwide.

At Atlassian, employees can choose where they work, and they hire in any country where the company has a legal entity; as a senior Machine Learning Systems Engineer on the Search Platform, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design and implement scalable search serving infrastructure, including retrieval pipelines, vector indexing, and embedding-based semantic search, and drive end-to-end delivery of ML components from experimentation through production rollout across multiple regions and tenants with strict SLO targets for availability, latency, and relevance. In ML Model Development & Serving, you will build production ML models including neural rankers, embedding models, and reranking systems, integrate them into serving infrastructure using frameworks such as Triton and PyTorch, and collaborate with ML researchers to translate experiments into production-grade systems with robust monitoring and evaluation harnesses. In Agentic Search & Retrieval, you will design retrieval systems for agentic and RAG use cases—personalized indexes, grounding pipelines, and multi-step retrieval workflows—and partner with Rovo and AI platform teams to evolve search infrastructure as a foundational layer for AI agents, ensuring retrieval quality, freshness, and relevance at scale. You will drive operational excellence and cost discipline through observability, monitoring, incident response, and FinOps-driven optimization across vector search and ML serving fleets, while maintaining production health and mentoring junior engineers as part of cross-functional collaboration with engineering leads, product managers, and platform stakeholders.

At Atlassian, employees can work in an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure—retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML component delivery across multiple regions and tenants to meet strict SLO targets. Responsibilities include ML model development and serving (neural rankers, embedding models, and rerankers) integrated via frameworks like Triton and PyTorch, plus agentic search and Retrieval-Augmented Generation use cases with personalized indexes and multi-step retrieval, in collaboration with Rovo and AI platform teams. You’ll emphasize operational excellence and cost discipline through observability, incident response, FinOps, capacity planning, and mentoring, while collaborating cross-functionally with engineering leads, product managers, and stakeholders to define roadmaps and OKRs.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally in countries where it has a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure—including retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML delivery from experimentation to production rollout across multiple regions and tenants, with strict SLO targets for availability, latency, and relevance. You will build production ML models (neural rankers, embedding models, and reranking systems), integrate them into serving infrastructure using Triton and PyTorch, and collaborate with ML researchers to translate experiments into production with robust monitoring and evaluation. You will design agentic retrieval systems for agentic and RAG use cases, partner with Rovo and AI platform teams to ensure retrieval quality and freshness at scale, and drive observability, incident response, FinOps cost discipline, and mentorship across the team.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for designing, developing, and deploying ML systems that power search across Jira, Confluence, and Rovo. Responsibilities include building scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and delivering ML components end-to-end across regions and tenants to meet strict SLOs for availability, latency, and relevance. The position covers ML model development and serving (neural rankers, embeddings, reranking) integrated into serving infrastructure with Triton and PyTorch, plus collaboration with ML researchers to productionize models with robust monitoring and evaluation. It also includes designing agentic and Retrieval-Augmented Generation use cases, partnering with Rovo and AI platform teams for scalable retrieval, maintaining operational excellence and FinOps cost discipline, and working cross-functionally to define roadmaps, mentor juniors, and uphold engineering best practices.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where the company has a legal entity. The role is Strategic Sales Development Representative who partners with Enterprise Account Executives to build and manage the pipeline for Atlassian’s largest customers, in close coordination with Sales Operations and Marketing, and reports to an Enterprise Development Sales Manager. Responsibilities include meeting setting, outbound prospecting, conversion, quota attainment, feedback, and maintaining a customer-obsessed approach for top accounts. The role requires collaboration with enterprise sales, marketing, partners, and operations, and success with value-driven messaging to navigate objections, with strong prospecting using email, social, video, and calls to delight customers. You’ll build the pipeline with Enterprise Account Executives and Enterprise Marketing, develop a deep understanding of customers’ organizations and goals to add value, and enjoy using sales tools like SFDC, Gong, Outreach, and LinkedIn Navigator.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where they have a legal entity. The Product Counsel team partners with R&D and product leaders to enable rapid, responsible AI-enabled product innovation. They are seeking a creative, adaptable Director of Product Counsel to shape the team’s operating model and playbook for the AI era. Responsibilities include counseling product and engineering on AI, data governance, IP, and platform architectures; creating repeatable frameworks and guardrails; acting as the primary legal partner for product initiatives; and helping mature the function with new tools and async collaboration. Requirements include 8+ years of software product counseling (ideally B2B SaaS), a JD with a license to practice, experience in both law firm and in-house settings, strong generalist skills and comfort with ambiguity, plus a bonus for familiarity with Atlassian tools.

Atlassian offers flexible work setups and hires globally wherever they have a legal entity. The Product Counsel team acts as strategic partners embedded with R&D and product leaders to enable rapid, responsible product innovation in AI and related technologies. The Director of Product Counsel will advise on emerging AI, data governance, IP, and platform architectures, develop scalable playbooks and guardrails, and serve as the primary legal partner for product initiatives. The role requires a versatile generalist who can navigate unfamiliar products and tech stacks, synthesize input from multiple legal disciplines, and thrive in a fast-paced, async environment. Applicants should have 8+ years of software/product counseling experience, a JD with bar license, a background in both law firm and in-house settings, strong writing skills, and familiarity with Atlassian tools is a plus.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Product Counsel team partners with R&D and product leaders to drive rapid, responsible product innovation in the AI era. The Director of Product Counsel will counsel product and engineering on AI, data governance, IP, and platform architectures, while creating repeatable playbooks and guardrails to help teams ship AI features with velocity and confidence. The role serves as the primary legal partner for product initiatives, collaborating with Privacy, IP, Commercial, and Regulatory teams to deliver cohesive, business-focused guidance and to mature the function with modern tools and async workflows. Requirements include 8+ years of software product counseling (preferably in B2B Enterprise SaaS), a JD with bar licensure, experience in both law firm and in-house settings, strong generalist skills, comfort with ambiguity, and the ability to simplify legal concepts for product teams; familiarity with Atlassian tools is a plus.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control over personal priorities. The Product Counsel team is at the heart of Atlassian's mission to redefine teamwork, acting as strategic partners embedded with R&D and product leaders to enable rapid, responsible product innovation in the AI era. As the Director of Product Counsel, you will counsel product and engineering on emerging AI, data governance, IP, and platform-architecture issues; pivot across products and tech stacks; design scalable AI playbooks, launch checklists, and guardrails; serve as the primary legal partner for product initiatives; and help mature the function with new processes and async tooling. The role requires 8+ years of experience counseling software products in B2B Enterprise SaaS, a JD licensed to practice, experience in both law firms and in-house teams, and a strong generalist skillset capable of understanding unfamiliar product surfaces, architectures, and business models, with comfort navigating ambiguity and novel AI/regulatory issues. You should be a simplifier with strong writing, adept at async collaboration and using modern technology, excited by fast-paced environments, and there are bonus points for familiarity with Atlassian tools.

Atlassian offers flexible work options, including in-office, remote, or hybrid arrangements, and can hire from any country where it has a legal entity. Atlassian is building the future of teamwork and seeks a Director of Product Counsel who acts as a strategic partner embedded with R&D and product leaders to enable rapid, responsible product innovation in the AI era. The role includes counseling product and engineering teams on emerging AI/ML legal and regulatory issues, data governance, IP, and platform architectures; defining a scalable AI-era playbook with repeatable frameworks and guardrails; acting as the primary legal partner and front door for product initiatives in collaboration with privacy, IP, regulatory, and commercial SMEs. It also involves shaping the Product Counsel function, maturing processes, experimenting with new ways of working, and leveraging modern async tools to scale impact. Required background includes 8+ years of legal experience counseling software products (preferably B2B Enterprise SaaS), a JD with a license, experience in both law firms and in-house teams, strong generalist product counseling, comfort with ambiguity, ability to understand unfamiliar architectures, excellent writing for async collaboration, and bonus points for familiarity with Atlassian tools.

Atlassian supports flexible work options, letting employees work in an office, from home, or in a hybrid arrangement to better support their family, personal goals, and other priorities. Atlassian hires in any country where it has a legal entity and is investing in its largest Public Sector customers, partnering with 82% of the Fortune 500 and with teams at the US Space Force, DoD, NASA, and more, through its Account Management team to deepen relationships and deliver value. The role focuses on our most strategic FSI, DoD, and IC customers, driving revenue growth by ensuring high retention, proactively pursuing expansion opportunities, and leading upsell, upgrade, and cross-sell efforts, in collaboration with the Global Sales Team. Account Managers are proactive, resilient, and empathetic, specialized in accelerating growth across Atlassian’s full suite of products and services. They accelerate revenue by leveraging existing customer footprints, drive best-in-class retention, develop senior and executive relationships, manage high-value renewals and expansions, identify growth opportunities, increase product awareness, oversee end-to-end sales cycles for cross-sell and up-sell, collaborate on account planning and market/whitespace analysis to drive BoB growth, maintain understanding of product updates and articulate improvements to customers and partners, and ensure accurate forecasting, opportunity hygiene, and project documentation.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity, giving employees control to balance family and personal goals. Atlassian’s products, including Jira Software, Confluence, and Jira Service Management, help teams collaborate, with customers ranging from Fortune 500 companies to NASA and Deutsche Bank relying on them to deliver quality results. The Mid-Market sales team manages a portfolio of about 40 accounts (200-10,000 seats) with a $2-4M annual quota, driving net new growth and expansion while advocating for customers to feed product feedback for a better experience. The role leads cross-functional deal teams, builds executive relationships, uses MEDDPICC to qualify and win complex opportunities, and closes multithreaded, multi-solution opportunities through outcome-based selling. Success depends on collaborating with channel, marketing, product, and customer success, maintaining a healthy pipeline with accurate forecasting, staying updated on industry trends and competitors, and occasionally traveling for customer meetings and events.

Atlassian supports flexible work locations—office, home, or a mix—and hires globally where it has a legal entity, with a mission to unleash every team's potential using tools like Jira Software, Confluence, and Jira Service Management. The company’s customers include the Fortune 500 and over 300,000 other organizations worldwide, such as NASA, Audi, Kiva, Deutsche Bank, and Dropbox, who rely on Atlassian to help teams collaborate and deliver quality results on time. The Mid-Market sales team manages about 40 accounts (200-10,000 seats), targets a $2-4M annual quota, drives net-new growth and expansion, and acts as a strong advocate for customers by feeding feedback to product and engineering. In this role you lead a cross-functional deal team (SDR, SE, SSE, AM, partners), establish clear territory and account plans, and build executive relationships across IT, business, sales, and marketing, using MEDDPICC to qualify and win complex opportunities. You’ll negotiate and price contracts, source and qualify leads, maintain a healthy pipeline with accurate forecasting, stay updated on industry trends, collaborate with channel, marketing, product, and customer success, and travel occasionally for meetings and events.

- Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity. - The Strategic Sales Development Representative partners with Enterprise Account Executives to build a sales pipeline for Atlassian’s most complex customers, in tight coordination with Sales Operations and Marketing, and reports to an Enterprise Development Sales Manager. - You will be accountable for meeting setting, outbound prospecting, quota attainment, feedback, and maintaining a customer-obsessed approach for large customers, collaborating with enterprise sales, marketing, partner, and operations teams. - You will prospect using value-driven messaging personalized to delight customers via email, social, video, and calling, and build the pipeline with Enterprise Account Executives and Enterprise Marketing teams. - You will develop an in-depth understanding of customers’ organizations, goals, and challenges to add value, and you enjoy using sales technology such as SFDC, Gong, Outreach, and LinkedIn Navigator.

The role is Head of Americas Technical Architecture for Zendesk Professional Services in Austin (hybrid), responsible for leading a team that designs, implements, and scales Zendesk solutions for enterprise customers and drives AI-enabled delivery and measurable business value. Key responsibilities include hiring and developing the Americas team, overseeing scoping and advisory engagements, managing portfolio delivery health and risks, building cross-functional alignment, and partnering with Product to shape capability and roadmap while advancing responsible AI practices and repeatable patterns. Basic qualifications include 8+ years in technical or solutions architecture or a related enterprise SaaS field, 3+ years of people management with distributed teams, experience delivering complex customer SaaS implementations, and strong analytical and stakeholder communication skills, with a bachelor’s degree or equivalent. Preferred qualifications include strong knowledge of Zendesk products and APIs, experience establishing architecture governance and reusable patterns, practical understanding of generative AI and AI-enabled workflows, and advanced degrees or relevant certifications. Compensation includes a US annualized OTE range of $166,000–$250,000 with a base/commission mix of 87/13, potential bonus or incentives, and Zendesk’s emphasis on hybrid work, diversity and inclusion, equal opportunity, and accommodations for applicants with disabilities.

Zendesk is hiring an AI Services Consultant in its Professional Services group to lead adoption of the AI-powered Resolution Platform and deliver quick time-to-value for customers. The role's mission is to provide technical solutions, act as a trusted advisor, guide complex configurations, and drive transformative business outcomes through effective integration and optimization of AI solutions. The overarching objective is to accelerate time-to-value by driving adoption and operational excellence, serving as the customer’s AI technical expert, and leading end-to-end delivery with clear scope and timelines. Responsibilities include providing technical guidance, facilitating change management and training, ensuring successful project delivery and high customer satisfaction, and collaborating cross-functionally to align AI roadmaps and remove blockers. Requirements include 3+ years in consulting or professional services, enterprise SaaS GTM experience, English fluency, knowledge of REST/JSON (Python preferred), experience with adoption analytics and outcome-driven roadmaps, a relevant degree, and a US base salary range of $106,000–$160,000 plus potential bonuses.

SmartBear delivers application integrity for modern tech stacks, providing deep test automation, API lifecycle management, and observability with governance to operate at AI speed and scale across the SDLC. It serves 32,000 organizations, including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft, and its open-source tools are downloaded about 100 million times per month with 30,000+ GitHub stars. With brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr, SmartBear meets customers where they are to improve the technology-driven world. The posting is for a Sales Development Representative in Somerville, MA, focusing on inbound and outbound prospecting, high-volume outreach, and pipeline generation, with mentorship and potential promotion to Account Executive within roughly 12 months. Candidates should have 1–2 years in customer-facing roles, be local to Somerville, MA, and SmartBear emphasizes an inclusive culture, equal opportunity employment, strong growth opportunities, and a total rewards package including a base salary of $60,000–$70,000 plus on-target commission, competitive benefits, and hybrid work options.

SmartBear delivers application integrity for modern tech stacks with AI-speed governance, offering deep test automation, API lifecycle management, and observability across the SDLC to ensure software works as intended. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—with customers like Adobe, JetBlue, and Microsoft; its open-source tools are downloaded over 100 million times monthly and have more than 30,000 GitHub stars, with brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. Learn more at smartbear.com or follow the company on LinkedIn, X, and Reddit, as SmartBear promotes a mission to improve the technology-driven world and values transparency, inclusivity, and social responsibility. The company is seeking a hybrid People & Culture Operations Partner in Somerville, MA, responsible for benefits, payroll support, leaves of absence, investigations, performance management, employee engagement, compliance, immigration, reporting, and coordinating with global P&C teams across Galway, Bath, Wrocław, and Bangalore. Requirements include 3–5+ years in HR roles, strong compliance and employee-relations skills, excellent communication, a self-starter mindset, organizational and analytical abilities, HRIS/payroll experience (BambooHR/ADP preferred), and an AI-savvy approach; the role offers a base salary range of $94,500–$110,000 USD with potential bonuses and a broader total rewards package, within an equal-opportunity, hybrid work culture.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. - Its Future Org internship program provides hands-on technical training, mentorship, professional growth opportunities, and strong social connections to prepare students for impactful careers. - The internship role is located in Seattle, WA or San Francisco, CA, and applicants must be willing to work there; F1/J1 sponsorship is not available. - The paid 12-week program runs May/June through August/September 2027, and interns will be part of a development team, making code changes with direct product impact from day one. - Interns will join a unified R&D team focused on cloud migration while delivering value across Jira, Confluence, Trello, and Bitbucket.

Atlassian lets employees choose where to work—office, home, or a hybrid setup—and hires in any country where it has a legal entity. The Future Org Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to help students launch successful careers at Atlassian. The internship role is based in Seattle, WA or San Francisco, CA, is not eligible for F1/J1 sponsorship, and runs for 12 weeks from May/June to August/September 2027 as a paid program. From day one, interns join a development team, are trusted to modify code that directly impacts products, and work under Senior Engineers to gain full lifecycle product development experience. The program sits within a unified R&D Engineering effort focused on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket.

The role is located in New York City, and DX—headquartered in Salt Lake City—helps engineering leaders build high-performing teams by collecting millions of data points daily to deliver productivity insights for companies like Pinterest, GitHub, BNY, and Xero. The company has grown profitably, tripling annual recurring revenue in recent years, and recently closed an acquisition by Atlassian to expand resources, accelerate growth and R&D, and increase impact for customers. At DX, the value system centers on individual mastery and becoming the best at your craft, with performance judged by excellence rather than controllable outcomes. You’ll coach and develop a team of Strategic Account Executives to hit targets, adopt a player-coach approach in demos and negotiations, institutionalize the sales process with rigorous pipeline discipline and CRM hygiene, analyze performance data to coach underperforming reps, drive GTM improvements from frontline feedback, foster continuous learning, and recruit top talent. The ideal candidate thrives as a team-first, systems-thinking leader who leads by example, delivers radical candor, thrives in ambiguity, uses data to guide conversations while prioritizing the human element, and possesses high emotional intelligence to manage complex stakeholders.

DX is a Salt Lake City, Utah-based, fast-growing SaaS company that helps engineering leaders build high-performing teams, collects millions of data points daily to illuminate developer productivity for customers such as Pinterest, GitHub, BNY, and Xero, and has tripled its annual recurring revenue before being acquired by Atlassian. Joining Atlassian will expand DX's resources, accelerate growth and R&D, and ultimately deliver greater impact to its customers. DX emphasizes mastery and excellence at your craft as its core value, with those who demonstrate this quality thriving and being highly rewarded, while acknowledging that outcomes are influenced by external factors but high-quality execution is within control. The role entails coaching and developing a team of Enterprise Account Executives to consistently hit and exceed monthly and quarterly revenue targets, serving as a "player-coach" in high-stakes demos and negotiations, institutionalizing the sales process with rigorous pipeline discipline, forecasting, and CRM hygiene, analyzing performance data to address bottlenecks, driving GTM improvements from customer feedback, fostering continuous learning through film reviews and role-plays, and recruiting and onboarding top talent. At Atlassian, compensation is designed to be equitable and competitive with geographic pay zones in the United States (Zones A–C), where base pay ranges are Zone A: $246,864–$322,294; Zone B: $222,177–$290,065; Zone C: $204,897–$267,504, with eligibility for benefits, bonuses, commissions, and equity, and candidates should confirm their pay zone with their recruiter.

Atlassian’s Strategy Collection aims to connect company strategy to execution, align teams, track progress, and enable scalable decision-making, with a focus on open collaboration, practical innovation, trustworthy AI, and flexible work options. They are hiring an experienced Principal Product Manager to lead core Focus app capabilities within Strategy Collection, shaping how Focus helps leaders define priorities, link work to outcomes, monitor progress, and make high-quality decisions at scale. Responsibilities include defining the Focus vision, roadmap, and operating plan; leading AI-native product building across discovery, prototyping, experimentation, and post-launch learning; identifying and prioritizing high-impact AI opportunities across workflows such as insights, progress monitoring, and decision support; and driving cross-functional initiatives to improve alignment and admin control. Qualifications require 8+ years in enterprise SaaS product management, strong AI fluency with AI-native practices, 0-to-1 product development experience (including co-building with customers and managing senior stakeholders), and experience shipping AI/ML-powered capabilities with responsible AI practices, plus exceptional communication and cross-functional leadership. The role reports to the Head of Product of Strategy Collection and involves creating executive-ready narratives, balancing near-term adoption with long-term value, trust, extensibility, and admin control, with Atlassians able to work from anywhere and the potential to hire globally where there is a legal entity.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The role is Principal ML System Engineer in the Rovo & AI Engineering org, focusing on Rovo Chat and bringing bleeding-edge innovations to improve quality, reliability, and latency. The position includes leading other engineers from technical design to launch and collaborating with teams and internal customers to set expectations, gather input, and communicate results. The role is pivotal and aims to realize AI's transformative potential across Atlassian's offerings. The Rovo & AI Engineering team's mission is to make Rovo the fastest, most trusted way for teams to find, understand, and act on their knowledge, with the product surface having grown 10x over the last year.

Atlassian offers flexible work arrangements and hires globally wherever there is a legal entity. As Principal Machine Learning Engineer in Confluence AI, you’ll shape the next generation of AI-powered experiences and turn rapid ML advances into scalable product features. You will own the full stack of AI product development—from product design and evaluation strategy to production engineering, experimentation, and long-term technical leadership—collaborating with product, platform, and partner teams. Responsibilities include setting technical direction for ML initiatives across Confluence (content creation, editing, summarization, recommendations, multimodal interaction), building production-grade ML systems and evaluation loops, and delivering customer-facing AI capabilities with measurable outcomes. You will identify failure modes, make high-leverage architectural decisions balancing quality, latency, cost, safety, and maintainability, mentor other engineers, and help ship deeper AI experiences across editor surfaces, content types, and collaborative workflows.

Atlassian supports flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity to help employees balance personal priorities. The Principal Machine Learning Engineer in the Confluence AI organization will help shape the next generation of AI-powered experiences across Confluence and is a hands-on role that turns fast-moving ML advances into scalable product experiences. The role spans the full AI product development stack—model-informed design and evaluation, production engineering, experimentation, and long-term technical leadership—and is well suited for someone with both ML depth and product/system thinking. Responsibilities include setting technical direction for ML initiatives, designing and evolving production-grade ML systems and evaluation loops, leading customer-facing AI capabilities, and driving advances in areas such as model behavior, retrieval, ranking, prompts/workflow design, and reliability while coordinating with cross-functional teams. It also involves architectural decision-making across layers, hands-on prototyping and rollout guidance, mentoring engineers, raising engineering standards, and building foundations for deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows.

Atlassian supports flexible work locations—office, home, or hybrid—and hires in any country with a legal entity; this role is a Principal Machine Learning Engineer in the Confluence AI organization to shape the next generation of AI-powered experiences across Confluence. It’s a hands-on principal-level role for an engineer who can turn fast-moving advances in machine learning into high-quality product experiences at scale, collaborating across product, platform, and partner teams to tackle ambiguous problems and deliver AI capabilities that enhance how users create, edit, discover, and interact with content. The role spans the full AI product development stack, from model-informed design and evaluation strategy to production engineering, experimentation, and long-term technical leadership, and is well suited for someone with strong ML depth combined with product instinct and systems thinking. Key responsibilities include setting technical direction for ML/AI initiatives powering Confluence experiences—covering content creation, editing, summarization, recommendations, and multimodal interaction—plus designing, building, and evolving production-grade ML systems, evaluation workflows, and experimentation loops to reliably deliver AI features at scale. It also involves leading the development of customer-facing AI capabilities by translating product opportunities into practical technical strategies and measurable outcomes, partnering with engineering, product, design, analytics, and platform teams, identifying failure modes, making high-leverage architectural decisions around latency, cost, safety, and maintainability, mentoring other engineers, and laying foundations for deeper, more integrated AI experiences across editor surfaces and collaborative workflows.

Atlassian offers flexibility in work location—office, remote, or a mix—and hires in any country where it has a legal entity. The Principal Machine Learning Engineer in the Confluence AI organization will be a hands-on role that shapes AI-powered experiences across Confluence and works with product, platform, and partner teams to turn advances in ML into scalable, customer-facing capabilities. The role spans the full AI product development lifecycle, from model-informed product design and evaluation to production engineering, experimentation, and long-term technical leadership. Responsibilities include setting technical direction for ML and AI initiatives, building production-grade ML systems, improving model behavior and retrieval, and driving cross-functional initiatives with a focus on reliability, safety, latency, and user experience. The position also involves mentoring engineers, raising engineering standards, and laying foundations to enable deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows.

Atlassian supports flexible work locations and hires in any country where it has a legal entity; the role described is Principal Machine Learning Engineer in the Confluence AI organization. It is a hands-on, principal-level role aimed at turning rapid advances in machine learning into high-quality, scalable AI-powered experiences for Confluence users. The position spans the full AI product development stack—from model-informed product design and evaluation to production engineering, experimentation, and long-term technical leadership. Responsibilities include setting technical direction for ML and AI initiatives across Confluence areas such as content creation, editing, summarization, recommendations, and multimodal interaction; building production-grade ML systems, evaluation loops, and infrastructure; and translating ambiguous product opportunities into tangible outcomes. It also entails cross-team collaboration to align roadmaps, identifying systemic failure modes and closing the loop with data-driven iteration, making high-leverage architectural decisions, mentoring engineers, and laying foundations for deeper, more integrated AI experiences across editor surfaces, content types, and workflows.

Atlassian offers flexible work options, letting people work in the office, from home, or a mix, and hires in any country where it has a legal entity. In Confluence AI, you will be a Principal Machine Learning Engineer who helps shape the next generation of AI-powered experiences and turn fast-moving ML advances into high-quality product experiences at scale. The role spans the full AI product development stack, from model-informed design and evaluation strategy to production engineering, experimentation, and long-term technical leadership, requiring both ML depth and product instincts. Responsibilities include setting technical direction for ML/AI across Confluence content creation, editing, summarization, recommendations, and multimodal interactions; building production-grade ML systems and evaluation loops; and driving advances in model behavior, retrieval, ranking, prompts/workflow design, and reliability, while collaborating with cross-functional teams. The role also involves mentoring engineers, raising engineering standards, making high-leverage architectural decisions balancing quality, latency, cost, safety, and user experience, contributing hands-on when needed, and helping lay foundations for deeper AI experiences across editor surfaces and collaborative workflows.

Atlassian offers flexible work options, including office, remote, or a hybrid approach. They hire people in any country where they have a legal entity. They’re seeking a senior technical leader to shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. The role involves work across areas such as model post-training, personalization/recommendation, proactive and other agentic experiences. Responsibilities include tackling ambiguous problems end to end—defining the approach, aligning partners, driving execution, and bringing solutions safely into production.

- Atlassian offers flexible work options, allowing employees to work in the office, from home, or a hybrid setup to better balance family, goals, and priorities. - They hire people in any country where they have a legal entity. - The company is seeking a senior technical leader to shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. - The role spans areas such as model post-training, personalization/recommendation, proactive and other agentic experiences. - Candidates will tackle ambiguous problems end-to-end, defining the approach, aligning partners, driving execution, and delivering solutions safely into production.

Atlassians can choose where they work—office, from home, or a combination. This flexibility helps them support family, personal goals, and other priorities. Atlassian hires people in any country where they have a legal entity. They’re seeking a senior technical leader who can shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. The role involves work across areas such as model post-training, personalization/recommendation, proactive and other agentic experiences, and requires tackling ambiguous problems end to end—defining the approach, aligning partners, driving execution, and delivering solutions safely into production.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires people in any country where they have a legal entity. - The Advisory Services team is a globally distributed group of Atlassian experts focused on helping large strategic and enterprise organizations achieve successful outcomes and maximize benefits from their Atlassian investments. - Atlassian is hiring an Engagement Manager as an individual contributor (not a managerial role) to lead and execute client engagements and advise external clients on achieving their goals with Atlassian solutions. - Key responsibilities include serving as the primary contact for engagements, guiding scope and delivery, executing projects, identifying future opportunities, building durable client relationships, and coordinating with teams across Atlassian. - The role may require up to 30% travel domestically and internationally for internal and customer-facing events, with the aim of delivering impact to millions of users by turning client ideas into action.

The AI Productivity Lead, Sales Development, is a hands-on product builder embedded in SDR who will embed AI into prospecting, prioritization, personalization, coaching, and pipeline creation, with an executive mandate to redesign how the team works and increase pipeline without adding headcount. You will discover, build, ship, measure, and scale AI-powered workflows that make SDRs and SDR managers more productive. You will identify high-value opportunities by shadowing SDRs and managers and analyzing workflows across tools like Salesforce, Outreach, Gong, and Slack, maintaining a prioritized backlog of AI improvements. You will design, prototype, launch, and iterate internal AI products such as research agents, account briefs, meeting-prep assistants, manager briefs, coaching copilots, forecast assistants, territory planners, and pipeline inspectors, and you will lead an experimentation roadmap across meetings, connect rates, personalization, ramp, administrative time, forecasting, coaching, and qualified pipeline. You will lead cross-functional delivery with Engineering, RevOps, Enablement, Product Marketing, Sales leadership, and AI governance to deliver secure, governed, adopted solutions; embed AI into daily work; build guardrails for privacy, security, cost, performance, and human judgment; and measure impact through adoption, time saved, meetings booked, pipeline created, conversion, manager hours reclaimed, ramp impact, and revenue contribution.

DX is a rapidly growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing teams and analyzes millions of daily data points to provide insights into developer productivity for companies like Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling its annual recurring revenue in recent years, and recently closed an acquisition by Atlassian. By joining Atlassian, DX aims to expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX emphasizes a culture of individual mastery, stating that performance is judged by one’s craft and that those who master their roles will thrive and be rewarded, while outcomes are influenced by external factors. In sales roles, responsibilities include prospecting and closing new opportunities, owning the full sales cycle, conducting proofs of concept and demos, maintaining a disciplined pipeline with accurate forecasting, guiding buyers through complex evaluations, feeding market feedback into product and GTM improvements, and staying current on industry trends and roadmap.

DX is a fast-growing SaaS company based in Salt Lake City that helps engineering leaders build high-performing, productive teams. It collects millions of data points daily to power insights into developer productivity and experience for customers like Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling annual recurring revenue in recent years, and recently closed an acquisition by Atlassian. By joining Atlassian, DX aims to expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX emphasizes individual mastery, and its sales roles involve owning the full cycle from prospecting to close, running proofs of concepts and demos, building a disciplined pipeline, guiding buyers through complex evaluations, and feeding market feedback into product and GTM while staying current on industry trends.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, backed by SDLC integrations and governance that enable AI-scale operations. It is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions, with brands like Adobe, JetBlue, and Microsoft, and its open source tools are downloaded over 100 million times per month with 30,000+ GitHub stars. The company’s portfolio includes popular brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr, and it emphasizes meeting customers where they are to improve the technology-driven world. The role of Procurement Manager is to own SmartBear’s centralized procurement, drive strategic sourcing and contract management, manage third-party spend, and partner with Finance, Legal, and Information Security to mitigate supplier risk. Requirements include 5–7 years of procurement experience (tech/SaaS preferred), a degree (professional certifications like CPM or CPSM preferred), strong negotiation and process-improvement skills, and the ability to collaborate across functions, with a culture that emphasizes inclusivity, growth, hybrid work, and a base salary range of $108,000–$120,000 plus potential bonuses as part of total rewards.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, enabling continuous, governance-at-AI-speed software delivery across the SDLC. It is trusted by 32,000 organizations, including 75% of the largest financial institutions and brands such as Adobe, JetBlue, and Microsoft, with open source tools downloaded more than 100 million times per month and over 30,000 GitHub stars; its best-loved brands include Swagger, TestComplete, Reflect, QMetry, and Zephyr. Learn more at www.smartbear.com or follow the company on LinkedIn, X, and Reddit. The role advertised is Collections Specialist: manage a portfolio of customer accounts, drive timely payment, optimize dunning workflows, and partner with Sales and Licensing to resolve payment issues; requires 3+ years in collections or similar roles, strong communication, Excel skills, and experience with ERP/CRM tools. SmartBear emphasizes an inclusive culture, equal opportunity employment, hybrid work options, and a total rewards package with a base salary range of $56,000–$68,000 plus potential performance bonuses, reflecting a global, award-winning workplace that aims to make the technology-driven world better.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, integrated across the SDLC, trusted by 32,000 organizations including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft, with open-source tools downloaded over 100 million times per month and more than 30,000 GitHub stars. The company’s SDR role, based in Somerville, MA, involves working with Account Executives to strategize targeted outreach and generate pipeline through inbound leads and ABX campaigns, using a tech stack including Salesforce, Outreach, ZoomInfo, Gong, LinkedIn Sales Navigator, and more. SDRs receive mentorship and training with the potential to be promoted to Account Executive within 12 months, while performing high-volume outreach (60-100 activities per day) and converting qualified conversations into pipeline for the sales team. Ideal candidates have 1-2 years in a customer-facing role, strong communication, coachability, and local availability; SmartBear promotes an inclusive, high-energy culture that values diversity, ethics, and work-life balance with flexible time off and hybrid options. The compensation package includes base salary plus on-target commission, with an estimated annual cash compensation of $50,000–$60,000, and comprehensive total rewards including benefits, pay transparency, and growth opportunities within a global, award-winning company.

The position is a global, senior leadership role at Zendesk to define the future of AI-powered customer experience, building an AI-orchestrated support model that blends automation, expert human help, knowledge operations, and premium services to turn every interaction into intelligence and value. You will own and evolve the AI-powered support across channels, establishing escalation strategies, governance to mitigate hallucinations, and feedback loops that drive improvements to AI, workflows, and knowledge using predictive analytics. You will lead a 300+ person global Technical Support & Escalations organization, shifting from volume-based support to complex, specialist-led resolution, while creating AI-assisted quality frameworks and segment-calibrated service models. You will also own the Premier Support P&L and monetized premium business, defining differentiated offerings, pricing, and operating models, and linking premium support to adoption, retention, and customer ROI in collaboration with Sales, Renewals, and Finance. The role requires 20+ years of enterprise SaaS/tech leadership with global transformation and AI-powered support experience, a cross-functional, influence-without-authority leadership style, a hybrid work arrangement, a US salary range of $289k-$433k plus incentives, and a commitment to fairness, inclusion, and accommodations with an invitation to apply.

The Services Consultant at Zendesk leads end-to-end technical delivery for customers, owning the implementation from requirements gathering to go-live and acting as a Zendesk contact center expert to provide recommendations for high-profile clients. Responsibilities include designing and documenting solutions through Technical Design Documents, configuring services and deploying resources in customer AWS accounts using tools like Amazon Connect, CloudFormation, Lex, DynamoDB, Kinesis, IAM, and S3, and collaborating with cross-functional teams for development, testing, and go-live, along with client training and handovers. The role requires 3+ years of customer-facing technical support or consulting, hands-on experience building and migrating complex cloud-based solutions, AWS environment experience with deployment automation, and strong programming skills (AWS Lambda and Python) for integrating contact center solutions. Zendesk emphasizes a strong global culture with competitive pay and benefits, a hybrid/remote-friendly work model, and commitments to diversity, inclusion, social impact, and a welcoming workplace. The US base salary ranges from $137,000 to $205,000 and may include bonuses or incentives; AI screening may be used in applying for the role, and Zendesk is an equal opportunity employer that provides accommodations for disabilities and veterans.

The Head of North America Sales will own and execute the regional GTM strategy to scale Adaptavist to $250m in revenue within three years, including $50m from consulting, starting with expansion along the Northeast Seaboard. The role will build a high‑performing sales organization focused on Strategic Accounts (>£1m annual gross margin potential) and Enterprise Accounts (>£500k annual gross margin potential), establishing Adaptavist as the partner of choice across the ecosystem. It is a transformational leadership role responsible for creating the structure, capability, and culture for repeatable, scalable growth, including a MEDDPICC‑driven pipeline and an integrated engine aligning sales, presales, marketing, delivery, and partners. Success will be measured by revenue growth, gross margin expansion, pipeline health, and the creation of a sustainable, high‑performing sales organization with strong executive credibility with customers and technology partners. Key activities include defining and executing the North America GTM, building pipeline, account segmentation and territory management, cross‑functional collaboration, partner alignment, and developing leaders to foster a one‑team culture and growth mindset.

Atlassians can choose where they work—in an office, from home, or a combination—giving them more control over family, personal goals, and priorities. Atlassian can hire people in any country where they have a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat by bringing bleeding-edge innovations and building agent harnesses that improve quality, reliability, and latency. You’ll have the opportunity to lead other engineers through technical design to launch and collaborate with other teams and internal customers to set expectations and communicate results, with the role being pivotal in realizing AI’s transformative potential across offerings. The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for any team to find, understand, and act on their knowledge, with the product surface growing rapidly and showing 10x growth over the last year.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality. Their tools are designed to streamline work, foster alignment, and enable large-scale business transformation, guided by values of innovation, excellence, ownership, and teamwork in a diverse, inclusive culture. Lucid serves major organizations, including Fortune 500 companies like Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile, and has over 100 million users with rapid ongoing growth. The Sales Team includes roles such as Scaled Account Specialist and the Transactional Business Team, focusing on SMB lifecycle management, renewals, expansions, and delivering value through scalable, low-touch engagement. The Scaled Account Specialist role involves managing a large SMB portfolio, Salesforce data, cross-functional collaboration, and developing scalable playbooks, and is a hybrid position in South Jordan, UT requiring a bachelor’s degree and 1-2 years of experience with two in-office days (Tuesday and Thursday).

Tempo is a global company with over 30,000 customers, including a third of Fortune 500, offering an integrated suite for time management, resource planning, budgeting, roadmapping, program management, and reporting, to help teams work smarter. Since 2007 it has grown from a time-tracking tool to the #1 time management add-on for Jira and a trusted Atlassian ecosystem player, now building a competitive intelligence and market analytics capability within a strategic portfolio management platform. The role is a hands-on product manager who will own the roadmap and outcomes for competitive intelligence and market analytics, define the first release, work with design and engineering, and coordinate go-to-market efforts including positioning, packaging, and enablement, with an emphasis on shipping incremental value quickly. Requirements include 5+ years of product management in B2B/enterprise software, a bias to action, collaboration with design and engineering, commercial instincts, and comfort with AI tools; nice-to-haves include background in competitive intelligence, market analysis, CRM data, and familiarity with competitive intelligence platforms. Tempo offers a remote-first environment, unlimited vacation in most locations, comprehensive benefits, professional growth opportunities, and a culture focused on ownership, collaboration, and inclusion.

Atlassian offers flexible work arrangements and can hire people in any country where it has a legal entity. The company is building narrative authority in AI for teams, and this role centers on turning real product and AI insight into a distinctive executive social presence. Reporting to the Editorial & Executive lead, the role collaborates with social media, product marketing, communications, and senior executives to develop credible, timely social content. It sits at the intersection of AI fluency, executive voice, and social platform craft, with the aim of creating a sustained social voice that resonates with engineers, founders, and enterprise buyers. Key duties include shaping executive social voice, tracking AI zeitgeist, translating insights into content, establishing cadence, advising on participation, partnering cross-functionally, and measuring performance to sharpen the approach over time.

Zendesk is hiring for a pure hunting Business Development/Sales role in North America aimed at identifying, qualifying, and building a significant pipeline across SMB, Commercial, and Enterprise accounts, in collaboration with sales, product, and marketing teams. Key responsibilities include engaging with prospects to understand challenges, generating high-value outbound content and messaging, researching companies (10K/10Q, investor presentations, news), and managing a pipeline with a focus on delivering a superior customer experience. Requirements include 2+ years of sales/BD experience across SMB to Enterprise, a competitive self-starter mindset, excellent communication and interpersonal skills, and proficiency in Salesforce, Zoominfo, Outreach, 6sense, with a bachelor’s degree preferred. Compensation consists of a US hourly OTE range of $36.54-$54.81 with a 70/30 base/commission split, with potential bonuses or benefits, and final offers determined by location and experience; the posted range reflects base pay, not including incentives. The role uses a hybrid work model with some onsite time, and Zendesk emphasizes its mission to redefine customer experience through AI, a diverse and inclusive culture, equal opportunity employment, and accommodations for applicants with disabilities, including AI screening per policy.

Tempo serves over 30,000 customers, including a third of Fortune 500, offering integrated solutions for time, resource, budget management, roadmapping, and program management, and has evolved from a 2007 time-tracking tool to the leading Jira time-management add-on within the Atlassian ecosystem. Its newest product, Tempo Workforce Intelligence, connects AI telemetry to Jira work items to measure AI-powered work and aims to become the execution-layer system of record for AI ROI across Tempo’s suite. Tempo is seeking a Senior Product Manager to lead Workforce Intelligence from an emerging category into a durable business, owning strategy, roadmap, and commercial outcomes, and seeking a candidate with 5+ years of PM experience who can operate in ambiguity and align cross-functional teams around evidence-based decisions. The role entails small, autonomous teams, continuous discovery with engineering leaders and design partners, rapid prototyping with real data, defining instrumentation and operating metrics, and shaping attribution, benchmarking, and data strategies across AI tools and Tempo products. Tempo promotes a remote-first culture with growth opportunities, competitive benefits, and an equal-opportunity commitment, inviting applicants to help shape the future of enterprise productivity software.

The role is Head of Strategic Sales, North America, based on the East Coast and open to candidates in the US and Canada, reporting to the Head of North America Sales and leading a team of Strategic Account Directors and Strategic Account Managers. It will build and execute a repeatable growth strategy for Adaptavist’s highest-potential North American customers, maximizing wallet share by linking executive priorities to the full portfolio, the DevOps & Developer Experience and Service & Work Management motions, and the strategic partner ecosystem. Responsibilities include defining the operating model, identifying and prioritizing accounts with potential above £1m annual gross-margin, establishing consistent account-planning standards, and maintaining a portfolio view of health, risk and required investment. The role requires executive customer and deal leadership, MEDDPICC-based qualification and forecast discipline, and cross-functional account execution to accelerate complex opportunities and improve win rates and margin from services. It also involves building strong regional and global partner relationships, co-sell planning, coordinating with global strategic-account programmes, and leading talent development, cadence, governance, and sharing best practices across the North American sales organization.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally wherever it has a legal entity. The Advisory Services Public Sector team is a globally distributed group of Atlassian experts focused on customer success for large enterprises, providing trusted advisors to maximize value from Atlassian investments. The Solution Consultant role is an individual contributor who delivers technical guidance, aligns product capabilities with business outcomes, helps expand services and products within client organizations, and partners with non-customer-facing teams to address customer needs, with travel up to about 30%. Required background includes 4-6 years in SaaS, 2+ years in customer-facing roles with stakeholders from technical administrators to executives, and demonstrated expertise in At l as sian Data Center Platform (e.g., Jira, Jira Service Management, Confluence, Bitbucket, Crowd) and Teamwork Foundations, plus experience defining goals and measurable metrics. Fluency in English is required, with a second language a plus, and there is a preference for candidates who can align with US time zones, coach best practices, work on cross-team projects, and have experience with large customers in a consulting or technical expert capacity.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, enabling teammates to prioritize family, personal goals, and other priorities. Its agile & DevOps, IT service management, and work management software—such as Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete shared work, with a broad customer base including the Fortune 500 and NASA. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-selling and expanding usage, nurturing relationships, and providing customer feedback to product and engineering. In this role you will own about 40 accounts in the Mid Market segment (200–10,000 seats), carry a $2–4M annual quota, lead a cross-functional deal team, build executive relationships, and apply MEDDPICC to qualify and win complex opportunities. You will collaborate with channel, marketing, product, and customer success; negotiate and price contracts; maintain a healthy pipeline with forecasting; stay informed on industry trends and competitors; and travel occasionally for customer meetings and team events.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires globally where it has a legal entity, aiming to unleash the potential of every team with its agile, DevOps, IT service management, and work-management software. Its solutions, including Jira Software, Confluence, and Jira Service Management, are used by Fortune 500 companies and others (NASA, Audi, Kiva, Deutsche Bank, Dropbox) to help teams collaborate and deliver quality results on time. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, pursues cross-sell and expansion, nurtures relationships, and targets revenue while acting as a customer advocate to provide feedback to product and engineering. In this role you will own roughly 40 accounts (200–10,000 seat), carry a 2–4M annual quota, lead cross-functional deal teams, develop executive-level relationships, apply MEDDPICC to qualify and win complex opportunities, pursue multithreaded, multi-solution deals, collaborate with channel, marketing, product, and customer success, negotiate pricing, source leads, forecast accurately, and stay informed on industry trends. Occasional travel for customer meetings, industry events, and team gatherings is expected, with all activities aligned to Atlassian's values and evolving sales model.

At Atlassian, flexible work options are available and the company hires globally, offering products like Jira Software, Confluence, and Jira Service Management that help teams collaborate. In the Mid-Market sales role, you’ll own 45–75 accounts (200–10,000 seats) with a $2–4M annual quota, focusing on cloud-first opportunities and customer expansion. You’ll lead cross-functional deal teams (SDR, SE, SSE, AM, partners) and establish executive relationships across IT, business, sales, and marketing to drive multithreaded opportunities. Responsibilities include closing complex, multi-solution deals, negotiating contracts, sourcing leads, maintaining a healthy pipeline with accurate forecasting, and occasional travel for meetings. You’ll collaborate with channel, product, and customer success teams to maximize customer satisfaction while staying ahead of industry trends and competitors for a competitive edge.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) alongside airfocus to help teams turn ideas into reality and drive transformation at scale. The company stresses core values like innovation, excellence, empowerment, initiative, ownership, and teamwork, and maintains a diverse, respectful, inclusive culture with a hybrid, flexible work model. Their Developer Platform team focuses on embedding Lucid within tools customers already rely on, such as Slack, and exposing APIs to power Lucid AI, MCPs, and the broader integration ecosystem, with a Senior Product Manager to own that strategy. The role entails cross-functional collaboration, being an advocate for customers, owning multi-project roadmaps aligned to company strategy, shepherding features from ideation through analysis and iteration, and using qualitative and quantitative metrics to validate ideas and optimize usage and outcomes. Requirements include a bachelor’s degree or equivalent, 5+ years in software product management, a track record leading cross-team platform initiatives in B2B SaaS, ability to de-risk through quick hypothesis validation, and strong communication across engineers, sales, executives, and end users; preferred qualifications cover platform/API strategy, SaaS admin experience, rapid prototyping/AB testing, mentoring, and autonomy in ambiguous environments.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality. The company emphasizes innovation and excellence, values empowerment and teamwork, and supports a respectful, inclusive culture with a hybrid, flexible work model. The role is Senior Product Manager for the Developer Platform, responsible for embedding Lucid in customers' tools (like Slack) and expanding its APIs to power Lucid AI, MCPs, and partner integrations. Key responsibilities include cross-functional collaboration, advocating for customers, owning roadmaps aligned to company strategy, guiding features through ideation to iteration, and using qualitative and quantitative data to optimize usage and business impact. Requirements include 5+ years of B2B SaaS product management, the ability to influence across engineers, sales, and executives, and preferred qualifications around platform/API strategy, SaaS tooling, rapid prototyping, mentoring, and autonomous work in ambiguous, cross-functional environments.

Lucid Software is an AI-driven work-acceleration company offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, with a mission to turn ideas into reality, a set of core values centered on innovation, excellence, empowerment, initiative, and teamwork, and a hybrid, inclusive work culture. The Security Analyst role focuses on protecting corporate assets and leading day-to-day GRC operations, third-party risk assessments, and championing customer trust within Lucid's security team. Responsibilities include conducting third-party vendor risk assessments and internal risk evaluations, responding to vendor security questionnaires, collecting evidence for SOC 2 and ISO 27001 audits, proactively identifying threats, delivering security awareness training, ensuring regulatory compliance, and collaborating with Legal, Engineering, IT, Finance, and HR. Requirements include a bachelor’s degree in information security, business management, or related field; 3+ years of experience in third-party risk management and GRC; knowledge of frameworks like NIST 800-53, ISO 27001, SOC 2; strong organizational, documentation, and interpersonal skills; and the ability to communicate security concepts to both technical and non-technical stakeholders. Preferred qualifications include SaaS/cloud experience, risk-management expertise, certifications such as CRISC, CISSP, CISA, SSCP, CC, Security+, strong cloud platform knowledge (AWS, GCP, Azure), process-improvement and automation skills, and the ability to leverage AI tools to enhance workflows.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive business transformation at scale. The company upholds values of innovation, passion and excellence, empowerment, initiative and ownership, and teamwork over ego, while fostering a respectful, inclusive culture in a hybrid work environment. As a Security Analyst, you will protect corporate assets and customer-facing applications, focusing on day-to-day GRC operations, third-party risk assessments, and supporting vendor security questionnaires while collecting evidence for SOC 2 and ISO 27001 audits. You will identify threats, develop practical security solutions, deliver security awareness training, ensure regulatory compliance, and partner with Legal, Engineering, IT, Finance, and HR to implement improved security controls and workflows. Required qualifications include a bachelor’s degree and at least 3 years in third-party risk management and GRC, knowledge of security frameworks (NIST 800-53, ISO 27001, SOC 2), strong cross-functional communication, with preferred qualifications in SaaS/cloud environments, relevant certifications (CRISC, CISSP, CISA, etc.), cloud platform experience, process improvement, automation, and the use of AI tools.

Lucid Software positions itself as a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive transformation at scale. The company upholds values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, and it fosters a diverse, respectful, inclusive culture with a hybrid, flexible work model. The role is a hands-on, self-driven Sales Enablement Manager for North America Commercial Sales, working within the Field Enablement team to partner with sales leadership and cross-functional partners to deliver onboarding, coaching, and regionally relevant enablement programs that support fast ramp and consistent sales execution. Key responsibilities include regional enablement and field readiness, designing workshops, coaching reps and managers, supporting new-hire onboarding and ramp, creating enablement assets, and using data-driven insights and AI tools to measure impact on metrics like time-to-productivity and quota attainment. Requirements include 4+ years in sales or enablement in SaaS, proven coaching success, formal coaching training, experience with sales methodologies (MEDDPICC, Challenger, etc.), familiarity with tools like Salesforce, Gong, and ZoomInfo, and a hybrid working arrangement at the South Jordan, UT office two days per week (Tuesday and Thursday).

Lucid Software is the leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and transform workflows at scale. The company emphasizes core values of innovation, excellence, empowerment, initiative and ownership, and teamwork over ego, while fostering a diverse, respectful, and inclusive culture with a hybrid work model. Lucid is ranked #13 among Fortune 500–level business applications, counting Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile among its customers, with over 100 million users and continuing rapid growth. The Professional Services Consultant role serves as a trusted advisor and delivery lead, translating complex enterprise challenges into clear visual strategic roadmaps and collaborating with enterprise buyers and IT stakeholders to accelerate product adoption and renewals. Responsibilities include designing customized engagements for Fortune 500 clients, guiding transformations and change management, extracting insights to influence the product roadmap, and promoting the Professional Services brand, while requirements call for 5+ years in a highly consultative role, knowledge of AI/process management or enterprise architecture, cloud environment exposure, and a hybrid Raleigh, NC work arrangement; preferred qualifications include a master’s degree, prior R&D or software development experience, relevant certifications, and experience leading large-scale global SaaS deployments.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, which, with accelerators for cloud and process transformation, helps organizations streamline work, align, and transform at scale. Its core values include innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, plus a commitment to a diverse, respectful, and inclusive culture; it operates as a hybrid workplace with remote, in-office, or blended options. Lucid is widely adopted, ranked #13 among Fortune 500 business apps, with clients like Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile, and serves over 100 million users while continuing to grow rapidly. The Professional Services Consultant role acts as a trusted advisor and delivery lead within Lucid’s Professional Services, engaging enterprise accounts to maximize investment in the Visual Collaboration Suite, translating complex challenges into clear, visual roadmaps, and collaborating with enterprise buyers, IT stakeholders, and product teams to optimize processes and drive adoption, renewals, and new revenue opportunities. Requirements include 5+ years in a highly consultative, customer-facing role, understanding of AI, process management, or enterprise architecture, exposure to cloud environments, and experience presenting to Director-level or C-suite stakeholders, with a hybrid work arrangement in South Jordan, UT two days per week; preferred qualifications include a Master’s degree, prior engineering/R&D experience, relevant certifications, and experience leading large-scale global SaaS rollouts.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help organizations transform cloud and processes at scale, with over 100 million users and clients like Google, GE, Siemens, VW, NBCUniversal, JLR, and T-Mobile, and a rapidly growing user base. The company emphasizes core values of innovation, passion and excellence, ownership, initiative, and teamwork over ego, and maintains a diverse, respectful, inclusive culture with a hybrid work model. The Technical Product Support Specialist on the Customer Operations team will be on the front lines with Lucid’s customers, driving solutions through professional communication and cross-functional collaboration, helping launch new products, and shaping help centers, online communities, and email support. Responsibilities include maintaining product expertise, investigating and resolving issues, collaborating with Engineering and Product Management on bugs, monitoring key user metrics, growing and managing a Lucid product community, and contributing to clear Help Center content and user education. Requirements include 2 years of experience or a bachelor’s degree, strong ownership and independence, the ability to translate complex ideas into simple content, excellent verbal and written communication and analytical skills, and a hybrid South Jordan, UT schedule (in-person two days per week on Tuesday and Thursday), with preferred qualifications in system optimization, basic project management, teaching or mentoring, UX understanding, technical troubleshooting, and AI/LLM familiarity.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive transformation at scale. The company emphasizes core values of innovation, passion and excellence, empowerment, initiative and ownership, and teamwork over ego, while fostering a respectful, inclusive culture with a hybrid, flexible work environment. Lucid serves over 100 million users and counts Fortune 500 firms and major organizations like Google, GE, Siemens, VW, NBC Universal, JLR, and T-Mobile among its customers, continuing rapid growth by attracting hundreds of thousands of new users each month. The Technical Product Support Specialist on the Customer Operations team will be on the front lines with customers, drive solutions through cross-functional collaboration, help launch new products and features, and build and manage a dynamic product community plus helpful content for millions of users. Requirements include about 2 years of experience or a strong degree, a strong sense of ownership, ability to work independently and cross-functionally, translate complex technical ideas into simple content, excellent communication and analytical skills, and a hybrid Raleigh, NC role with in-office days on Tuesday and Thursday; preferred qualifications include experience in project management, UX, AI/LLMs, and mentoring.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and transform work at scale. The company emphasizes values of innovation, excellence, empowerment, initiative, ownership, and teamwork, and maintains a respectful, inclusive culture within a hybrid work environment. They are hiring a Product Manager to advance AI-focused products on a team dedicated to innovation and new product discovery, including collaborative AI, agentic workflows, and canvas-native generative features. Responsibilities include partnering with product teams to identify, test, and de-risk new AI capabilities through prototypes and experiments, improving product development and evaluation practices, and owning AI platform capabilities from strategy through launch in collaboration with engineering, design, data science, and product teams. Requirements include 4+ years of PM experience in B2B SaaS, experience bringing agentic AI to market in fast-moving environments, strong understanding of modern AI systems and evaluations, exceptional product judgment, and proven cross-functional collaboration; preferred qualifications include leading innovation or new product discovery teams, experience with visual collaboration platforms, and mentoring other PMs.

Lucid is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to streamline work and drive transformation, guided by values of innovation, excellence, empowerment, initiative, and teamwork in an inclusive, hybrid workplace. The company is hiring a Product Manager to advance AI-powered products, joining a team focused on innovation, emerging technologies, and AI, including collaborative AI products, agentic workflows, and canvas-native generative features. Responsibilities include partnering with product teams to identify and de-risk new AI capabilities, validate customer value through prototypes and experiments, improve product development and evaluation processes, stay at the forefront of AI, and own AI platform capabilities from strategy to launch. Requirements include 4+ years of PM experience in B2B SaaS, experience bringing agentic AI products to market in fast-moving, evolving environments, strong understanding of AI systems (agent architectures, RAG, evaluations) and tradeoffs, and proven cross-functional collaboration. Preferred qualifications include leadership of innovation or new product discovery teams, experience with visual collaboration or digital whiteboarding platforms, and mentoring other PMs on AI product lifecycle practices.

Lucid Software positions itself as a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus. The company highlights core values of innovation, excellence, empowerment, initiative, ownership, and teamwork, and promotes a respectful, inclusive culture with a hybrid, flexible work model. The Raleigh Office Manager is a part-time role (20-25 hours per week) with a fixed in-office afternoon schedule from Monday to Friday, 12:00 PM to 5:00 PM. The role covers facility management, equipment moves, office cleanliness, technology coordination, kitchen and coffee service, cleaning tasks, catering, events and office culture coordination, after-hours availability, culture initiatives, shipping, employee support, and various workplace projects. Requirements include at least one year of office experience, ability to work in-office five days on the provided schedule, strong communication and customer service, multitasking, proficiency with G-Suite or Office 365, ability to lift 25-50 lbs, and a collaborative attitude; preferred qualifications include facilities management experience and experience in a high-tech environment.

Zendesk is offering a nine-week, full-time summer internship in Global Revenue Operations (RevOps) with a hybrid, largely onsite schedule in Madison, WI, starting in early June and requiring about 40 hours per week, plus a dedicated mentor. The role emphasizes internal process improvements and AI-driven optimizations to enhance product monetization, pricing strategies, operational efficiency, and auditability across transactions, with substantial on-site collaboration to foster growth. Key responsibilities include implementing RevOps process improvements and automation (including AI-driven), integrating legacy customers from mergers and acquisitions, performing UAT in commerce-to-cash systems, documenting workflows, conducting data extracts, and learning systems like Stripe, Zuora, Salesforce, CPQ, and Zendesk Support. Requirements are active enrollment in a relevant degree program, strong G-Suite/Zoom skills, preferred familiarity with Salesforce/Zuora, US work authorization, and preferably residing in or near Madison, WI; compensation ranges from $26.44 to $39.90 per hour, with potential bonus/benefits, and a hybrid schedule determined by the hiring manager. Zendesk emphasizes diversity, equity, and inclusion, is an equal opportunity employer, may use AI screening, and offers accommodations for applicants with disabilities.

This is a ten-week, full-time Financial Analysis & Strategy Intern role at Zendesk, running from June 7, 2027 to August 6, 2027, designed to inform and guide C-level decisions through forecasting and analysis. Key responsibilities include analyzing financial results, building and maintaining financial models, managing budgets, implementing process improvements, and delivering high-precision forecasts and P&L reporting to support cross-functional alignment and executive decision-making. Requirements include currently pursuing a bachelor’s degree with planned Spring 2028 graduation in Finance/Accounting/Economics/Business or a technical field, experience with modeling and data, strong Excel/GSuite skills, familiarity with ChatGPT and other LLM tools, and a positive, AI-forward, team-oriented mindset with strong problem-solving abilities. Compensation is an hourly base rate ranging from $31.25 to $61.00 in the US, with potential bonuses or benefits, and a hybrid work arrangement with some in-office days as determined by the hiring manager. Zendesk emphasizes diversity, inclusion, and accessibility, notes that AI screening may be used in applications, and offers accommodations on request.

Sentry is an application monitoring platform trusted by over 200,000 organizations, helping developers fix errors and performance issues quickly so teams can build more. As a Senior Software Engineer on the Issue Detection team, you’ll design, build, and operate real-time processing pipelines and analysis systems that decide which events signal a problem and how they are grouped into issues. You’ll work on end-to-end features that handle billions of events daily, balancing detection accuracy and processing latency, and shape how developers monitor apps and how issues are surfaced to humans and AI agents. Ideal candidates are distributed-systems engineers with a product focus and full-stack instincts, 5+ years of full-stack experience (Python and TypeScript), strong domain modeling, and familiarity with PostgreSQL, ClickHouse, or Kafka. Sentry emphasizes equal opportunity and accommodations, supports a diverse and inclusive culture tied to its open-source mission, and provides details in its Applicant Privacy Policy.

At Atlassian, work arrangements are flexible (office, remote, or hybrid), and hires can be made in any country with a legal entity to support employees’ family, personal goals, and priorities. The Search Platform team powers Rovo Search and knowledge discovery across Atlassian and external apps, aiming to provide secure, fast, globally scalable, and cost-efficient enterprise search. The technical lead for Search Serving will set long-term direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems addressing latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation; setting the architecture roadmap for online retrieval, index serving, query processing, and ML inference; and turning advances in IR and ML into production through rigorous evaluation, experimentation, rollout, and incident response. Additional focus covers advancing production inference for embedding, retrieval, and ranking models with techniques like batching, quantization, distillation, and hardware-aware optimization, while leading multi-team initiatives, mentoring engineers, and raising team and platform maturity for best-in-class agentic development.

Atlassians can choose where they work and the company hires in any country where it has a legal entity. The Search Platform team powers Rovo Search and knowledge discovery across enterprise data, making knowledge across Atlassian and external apps searchable securely, quickly, and at scale. As the technical lead for Search Serving, you’ll set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities to improve the experience. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation, and defining the architecture for online retrieval, index serving, query processing, and ML inference. You’ll establish ML production practices, advance production inference with techniques like batching, quantization, distillation, and hardware-aware optimization, and lead cross-team initiatives while mentoring engineers to raise platform maturity and accelerate innovation.

Atlassian offers flexible work options and hires in any country with a legal entity for this role, within the Search Platform team. The team powers Rovo Search and enterprise data search, aiming to make knowledge across Atlassian and external apps securely, quickly, and at scale through an enterprise-grade infrastructure. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply new ML capabilities. Responsibilities include designing high-quality agentic search systems, setting the architecture for online retrieval, index serving, and ML inference, and turning IR and ML advances into production via rigorous evaluation, experimentation, and controlled rollout. The role also demands establishing ML production practices, advancing production inference with techniques like batching and quantization, leading cross-team initiatives, mentoring engineers, and elevating the team's maturity to accelerate innovation.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The Search Platform team powers Rovo Search to enable secure, fast, globally scalable, and cost-efficient knowledge discovery across Atlassian data and third-party apps. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, and capacity; establishing the architecture for online retrieval, index serving, query processing, and ML inference; turning IR and ML advances into production systems with rigorous evaluation and safe rollout practices; and advancing production inference through techniques like batching, quantization, distillation, compilation, and hardware-aware optimization. The role also involves leading cross-team initiatives, mentoring engineers, aligning technical and product leaders around the long-term direction, and elevating the team's maturity to accelerate innovation.

1) Atlassians can work anywhere—office, home, or a blend—and the company hires in any country with a legal entity, giving teams more control over family, personal goals, and priorities. 2) As the way people find and use knowledge at work changes, AI agents must understand user goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. 3) Atlassian is building an intelligence layer, the context-layer, to enable this across the enterprise and broader ecosystem, at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. 4) The team tackles problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, and invites those excited about defining search in the agent era. 5) You’ll work on building systems that let AI agents discover information, reason over enterprise knowledge, and choose the right capabilities, across areas like Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with concerns about permissions, freshness, latency, trust, data heterogeneity, and multi-tenancy.

Atlassian is hiring a Senior Machine Learning Engineer for the Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines powering AI products and innovation across the company. The role leads development and productionization of advanced ML systems to improve how people discover, understand, and act on knowledge, spanning the full ML lifecycle from problem definition to deployment and ongoing optimization, and Atlassian supports flexible work arrangements (office, home, or a combination) with hires in any country where we have a legal entity. You will work with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, and designing robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experiments and evaluations. You will collaborate with product, engineering, data science, analytics, and platform teams to integrate AI capabilities into Atlassian products, translate research into reliable production systems, identify opportunities to improve model performance and developer experience, and communicate trade-offs and results clearly to technical and non-technical audiences while helping foster a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer in the Search & Intelligence group to build intelligent experiences, models, and data pipelines that power AI products and accelerate innovation. You can work anywhere—office, home, or a mix—and Atlassian hires in any country where it has a legal entity. The role involves leading end-to-end ML projects from problem definition and data exploration through development, deployment, and ongoing optimization, in collaboration with product managers, engineers, and data scientists. Responsibilities include designing production-ready ML algorithms and architectures for information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experimentation and evaluation to translate research into reliable systems. You will mentor engineers, shape technical strategy, promote experimentation and inclusive collaboration, and communicate decisions and results clearly to both technical and non-technical audiences.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, remote, or a hybrid—and the company can hire people in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced machine learning systems that improve how people discover, understand, and act on knowledge across Atlassian, working across the full ML lifecycle from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization. You will partner with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing and implementing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, designing robust architectures for quality, latency, scale, privacy, and cost, and conducting rigorous experiments and evaluations, while communicating findings to technical and non-technical audiences and fostering a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for Atlassian’s AI products. The company offers flexible work options and hires in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with an emphasis on making evaluation a first-class part of AI development. Responsibilities include designing evaluation-driven development processes, building evaluation datasets and benchmarks, conducting offline and online evaluations, human assessments, model-based evaluations, error analysis, and mentoring other engineers while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. The work requires designing scalable architectures that meet quality, reliability, latency, privacy, and cost requirements, applying modern techniques in information retrieval, ranking, embeddings, NLP, deep learning, and large language models, and communicating technical decisions and results clearly to both technical and non-technical audiences while contributing to ML and engineering best practices.

Atlassian seeks a Senior ML Engineer for its Search & Intelligence org to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. Employees can work from office, home, or hybrid, and the company hires in any country with a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement, with an emphasis on evaluation-driven development. Responsibilities include building evaluation datasets, benchmarks, regression suites, offline/online evaluations, error analysis, and designing scalable architectures for quality, latency, privacy, and cost, while collaborating with cross-functional teams and mentoring others. You should apply modern techniques in information retrieval, NLP, deep learning, and large language models, communicate decisions clearly across audiences, and contribute to engineering and ML best practices.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for AI products. Employees can work in-office, from home, or a hybrid, and Atlassian can hire in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with a emphasis on evaluation as a first-class part of AI development. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solve complex problems, contribute to technical direction, and mentor other engineers. Responsibilities include building AI systems, designing evaluation-driven processes, creating evaluation datasets and benchmarks, conducting offline and online evaluations, building scalable architectures, applying techniques from information retrieval, NLP, deep learning, and LLMs, and communicating decisions while mentoring on best practices.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for the Growth organization to help create personalized experiences that guide customers through the lifecycle. The Growth team spans product, engineering, data science, analytics, and operations and focuses on experimentation, personalization, and intelligent orchestration to improve discovery and adoption across the funnel. The ML Engineer will design, build, and operate systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including data foundations, features, models, evaluation frameworks, and decisioning, moving cross-flow ranking toward a unified, value-aware orchestration system. Requirements include a degree plus 5+ years in ML, strong Python and knowledge of Java/Typescript, SQL, Spark, cloud data environments, experience deploying large-scale models, building datasets and evals, and the ability to communicate ML concepts to diverse audiences while emphasizing practicality and iterative improvement. Nice-to-haves include experience in consumer/B2B SaaS, growth-focused ML applications, and familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, as well as collaboration with product, analytics, marketing, and sales teams.

1. Atlassian offers flexible work options, allowing employees to work in-office, from home, or a hybrid, to balance responsibilities and family. 2. Atlassian is hiring a Machine Learning Engineer for the Growth organization to build intelligent, personalized experiences that help customers discover value and progress through the lifecycle. 3. The role involves designing, building, and operating ML systems, developing models and decisioning services for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, and transitioning from fragmented heuristics to a unified orchestration system based on context, conversion probability, and lifetime value. 4. Requirements include a bachelor’s or master’s in CS or equivalent, 5+ years in ML, proficiency in Python (and Java/TypeScript), SQL, Spark, and cloud environments (AWS, Databricks), and strong ability to communicate ML concepts and collaborate across teams; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference is a plus. 5. Bonus experience includes working in consumer SaaS or enterprise B2B, applying ML to growth and personalization, and understanding engagement, activation, conversion, expansion, and retention metrics to balance short-term and long-term outcomes.

Atlassian lets employees decide where they work—office, home, or a mix. This choice gives them greater control over work-life balance, family, and personal goals. Atlassian can hire people in any country where it has a legal entity. [[INSERT JOB DESCRIPTION HERE]] is a placeholder indicating where a specific job description will be inserted. Overall, the text emphasizes flexible work arrangements and a global hiring scope.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians greater control over supporting family needs, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder indicating a job description will be inserted. Overall, the message emphasizes flexible work options and broad international hiring capability.

Atlassians can choose where they work—office, home, or a mix. This flexibility gives employees more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, it emphasizes flexible work arrangements and global hiring options at Atlassian.

At Atlassian, employees can choose where they work (office, home, or hybrid) and the company hires globally where it has a legal entity, to support personal goals and family needs. Atlassian aims to be a 100-year company with empowered engineering teams, equipped to do their best work, while focusing on AI and customers' cloud transitions and delivering value through Jira, Confluence, Trello, and Bitbucket. The roles target individuals who want to shape the future, tackle large, complex problems, provide technical leadership, and establish architectural standards across new projects. The position also involves driving company-wide initiatives, sharing engineering best practices, mentoring future technical leaders, and elevating the technical bar across the organization. Candidates should have 10+ years of full-stack experience with languages like Java, Scala, Node, JavaScript, or React, strong systems engineering skills at scale (testing, reliability, security, observability), excellent communication, and a focus on customer impact in technical decisions, including familiarity with A/B testing.

At Atlassian, employees can work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity, aiming to support personal goals and build a 100-year engineering organization with empowered teams and the right tools. The engineering focus emphasizes advancing AI, helping customers migrate to the cloud, and delivering maximum value through Jira, Confluence, Trello, and Bitbucket. The role involves tackling the largest and most complex problems, providing technical leadership, addressing architecture challenges, and championing high technical standards across the organization. It also requires partnering across engineering teams on company-wide initiatives, sharing best practices, and mentoring the next generation of technical leaders. Candidates should have 10+ years in full-stack development with languages such as Java, Scala, Node/JavaScript/React, a computer science degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication skills, mentoring experience, customer-focused decision-making, and familiarity with A/B testing.

Atlassian is a global leader in team collaboration and productivity software, offering tools like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide to plan, track, and manage work. The company is dedicated to building innovative tools that drive the future of work and is seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph. The team also develops frameworks, models, and infrastructure to accelerate AI feature development across Atlassian. Atlassians can choose to work in an office, from home, or in a hybrid arrangement, and the company can hire in any country where it has a legal entity. In this role you will lead the development and implementation of cutting-edge ML algorithms and models powering AI capabilities, collaborate with product, engineering, and analytics teams, design system and model architectures, lead rigorous experiments and evaluations, provide technical mentorship, and help shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software with products like Jira, Confluence, Trello, Bitbucket, and Rovo used worldwide to plan, track, and manage work. The company is hiring a Principal Machine Learning Engineer for its Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph, plus the infrastructure to accelerate AI development. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The role involves leading the development and implementation of cutting-edge ML algorithms and models that power AI capabilities across Atlassian’s products, collaborating with product, engineering, and analytics teams to translate business needs into solutions. Responsibilities also include designing system and model architectures, conducting rigorous experimentation and evaluation, providing technical mentorship to ML engineers, and helping shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide. They are seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, working on flagship AI products including agentic search and chat, long-horizon agents, and capabilities that enrich the Teamwork Graph, as well as frameworks, models, and infrastructure that accelerate AI feature development. Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity. In this role, you will lead the development and implementation of cutting-edge ML algorithms and sophisticated models powering AI capabilities across Atlassian’s products and services. You will collaborate with product, engineering, and analytics teams to translate business and customer needs into impactful solutions, design system and model architectures, lead rigorous experimentation and evaluation, provide technical mentorship to ML engineers, and help shape Atlassian's AI strategy.

At Atlassian, you can work from an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. In this role, you’ll lead a team of Customer Success Architects (AI) focused on adopting Atlassian’s AI platform, Rovo, ensuring engagements move from initial activation to real, measurable business value in production. You’ll hire, coach, and develop CSAs (AI), own pod-level capacity planning and delivery quality, monitor key metrics, and provide enablement materials and playbooks to support the team. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering, collaborate with account teams to prioritize engagements, surface product friction to influence roadmaps, and advocate for TAS in cross-functional forums while broadening AI adoption. Familiarity with GDPR and the EU AI Act is required, and travel up to 15% is expected for team events, customer meetings, and offsites.

The role is Senior Staff Engineer on Zendesk's Enterprise Data & Analytics team, leading the architecture and engineering of an AI-ready enterprise semantic data platform that unifies analytics, applications, and AI on trusted foundational data models. You will define the enterprise semantic architecture (metrics, dimensions, entities, relationships, grain, time semantics, and business context), establish reusable semantic contracts, evaluate long-term platform options (Snowflake Semantic Views, dbt Semantic Layer/MetricFlow, Cube), design metadata-driven capabilities, and guide conversational analytics and golden datasets while leading multi-team initiatives from PoC to production. You will mentor engineers, influence build-versus-buy decisions, and treat the platform as an internal product to improve adoption, documentation, onboarding, and migration from duplicate implementations. Basic qualifications include 10+ years in data engineering/architecture with at least 3+ years hands-on semantic layer experience, deep expertise with Snowflake/Databricks and dbt, strong SQL and programming skills, and excellent communication for collaboration across executives, architects, engineers, analysts, data scientists, and business stakeholders. Preferred experience includes Snowflake Semantic Views, dbt MetricFlow, Cube, LookML/Looker, or similar semantic platforms, plus familiarity with text-to-SQL, agent evaluation, deterministic vs probabilistic metric boundaries, and evaluating vendors or open-source platforms for adoption roadmaps; the data stack includes Snowflake, Kafka, Tableau/Looker, AWS, Kubernetes, Terraform, and CI/CD tooling, with a US base salary range of $200k–$300k and potential bonuses, while Zendesk supports hybrid work, diversity and inclusion, and reasonable accommodations.

- Atlassian is seeking a Commercial Counsel to join the Commercial Legal team, focusing on Enterprise Sales in the Central/West AMER region and negotiating SaaS agreements with major enterprise customers in the Central/West US, LATAM, and Canada. - The role is remote (with an option to work from an Atlassian office) and involves liaising directly with Sales clients and customers to support strategic projects and transactions. - You’ll be part of a six-attorney team supporting Central/West US Sales as well as expanding Canada and LATAM Sales, handling contracts from drafting to execution, including redlining, exhibit coordination, approvals, record management, and post-execution compliance. - You will provide pragmatic, business-minded guidance on customer requests, obtain internal approvals for modifications, and draft terms in collaboration with Product, Engineering, and Compliance for highly-regulated customers. - The ideal candidate is ownership-driven and collaborative, able to translate SaaS contracting complexities, manage risk while closing deals, navigate a decentralized global organization, and bring strong knowledge of software/cloud services and AI-related issues with creative, risk-based recommendations.

Sentry helps developers fix errors and performance issues, is trusted by 200,000+ organizations, and is building an AI-native future. The Engineering Manager will lead the Growth (Value Discovery) team to expand product-led growth by delivering true customer value, collaborating with Product, BizOps, Data, Design, and GTM, and avoiding surprise charges or unnecessary features. You’ll oversee the self-serve funnel (signup, onboarding, activation, trials/upsells, pricing/billing) in our Python/Django and TypeScript/React stack, evolve experimentation with the Data team, and run a fast, hypothesis-driven loop tied to conversion, activation, churn, and 90-day retention. Requirements include 3+ years of engineering management, strong technical credibility, product sense, and experience with experimentation frameworks, plus the ability to talk with users about workflows; bonuses include growth experience at a developer-tools company or large-scale experimentation. The salary range is $220,000 to $450,000 base, plus benefits and equity, with a commitment to equal opportunity and an inclusive culture; Sentry is open-source and provides accommodations and information in its privacy policy.