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Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to support work-life balance and priorities. The DX Solutions Engineering Team is seeking a Pre-Sales Solutions Engineer to be a key driver in the DX product growth (getdx.com), serving as the solution expert throughout the sales cycle and dedicated to solving Commercial/Midmarket prospects’ most complex business problems to help close deals. Responsibilities include leading technical evaluations with Account Executives, driving all technical aspects of the sales cycle, and running POCs and pilots to clearly demonstrate value and feasibility. You will conduct technical discovery, strategy sessions, and consultative questioning to understand client needs, engineering workflows, and goals, then design tailored solutions that integrate APIs with complex client workflows. You will act as a trusted advisor on deployment methodologies and analytics integrations, and provide feedback from prospects to Product and Engineering to inform enhancements and roadmap priorities.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally in countries where it has a legal entity, with interviews and onboarding conducted virtually as part of its distributed-first approach. Founded in Australia in 2002, Atlassian is a global leader in team collaboration serving over 300,000 customers—including 80% of the Fortune 500—and its mission is to unleash the potential of every team, envisioning a future where humans and AI collaborate, evidenced by Rovo and the Teamwork Graph. The company is undergoing a transformation into an AI-led enterprise tech company and is recruiting top talent to help shape what’s next. The role of Principal Solutions Engineer for LATAM sits in the Enterprise Sales organization during this growth phase, with a goal to scale enterprise revenue from one-third to two-thirds of total revenue, by managing Fortune 500 and large enterprise accounts across LATAM and leading Spanish-language technical engagements and demonstrations. Responsibilities include strategic partnerships with account teams and channel partners, value discovery, solution architecture, cross-functional collaboration with Account Executives and Product Management, AI and Platform advocacy for Rovo and the Teamwork Graph, plus ongoing learning through rituals like ShipIt and AI School.

At Atlassian, you can work where you want—office, home, or a hybrid setup—and the company can hire people in any country where it has a legal entity. The posting is for Global Sales Center of Excellence Lead, Teamwork Collection (Mid-Market), the global owner driving sales performance, strategic execution, and revenue growth across Atlassian's largest customer and seller segment. Reporting to the Global Head of TWC Sales, the role sits at the intersection of go-to-market strategy, cross-functional orchestration, and revenue delivery, and involves designing the global operating plan, creating repeatable strategic sales plays, and partnering with Sales Leadership, SDR, Channel, Demand Gen, Product, and Marketing to maximize pipeline, accelerate deal velocity, and capture market expansion opportunities. They seek a senior, metrics-driven GTM leader who can lead through influence in a matrixed organization, translate complex platform and AI value propositions into clear, scalable sales execution, and scale field readiness and seller onboarding so core account executives and sales managers can position modern collaboration solutions without overlays. If you have a proven track record of orchestrating enterprise SaaS sales motions, rigorous inspection rhythms, and turning strategy into measurable field success, this role offers an exciting opportunity to shape the future of teamwork on a global scale.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a hybrid arrangement, and hires in any country where the company has a legal entity to support employees' family and personal priorities. The DX Solutions Engineering Team at Atlassian is seeking a highly skilled Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) and help close critical deals by solving complex business problems for Commercial and Midmarket prospects. The role will serve as the solution expert throughout the sales cycle, partnering with Account Executives to lead all technical aspects, including Proof-of-Concepts and Pilots, and to demonstrate platform value and feasibility. Responsibilities include leading technical discovery, understanding client needs and workflows, asking detailed questions about engineering processes and tooling, and designing tailored solutions to integrate the company's APIs with client workflows to meet evaluation criteria. Additional duties include acting as a trusted advisor on deployment methodologies and analytics integrations, and providing a feedback loop to Product and Engineering teams to influence product enhancements and roadmaps.

Atlassian offers flexible work locations (office, home, or hybrid) and can hire globally, with interviews and onboarding conducted virtually as part of its distributed-first approach. Founded in Australia in 2002, Atlassian serves over 300,000 customers, including 80% of the Fortune 500, and aims to unleash the potential of every team while advancing an AI-enabled future with Rovo and the Teamwork Graph. The company is undergoing an AI-led transformation and seeks top talent to drive growth in its Enterprise Sales organization, aiming to scale enterprise revenue from one-third to two-thirds of total revenue. The Principal Solutions Engineer for LATAM will partner with account teams and channel partners to manage large LATAM accounts, lead Spanish-language technical engagements, and showcase Atlassian’s AI and Platform capabilities (Rovo and the Teamwork Graph) to illustrate how AI can transform workflows. Responsibilities include value discovery, customized demonstrations across technical and executive audiences, cross-functional collaboration with Account Executives and Product Management, and ongoing professional development through programs like ShipIt and AI School.

- Atlassian offers flexible work options—office, remote, or hybrid—and can hire in any country where it has a legal entity. - Their platform connects work, teams, and data to power intelligent tools, automation, and AI, with a rich platform layer essential for AI to be truly useful in complex organizations. - They’re seeking a Senior Product Marketing Manager to lead adoption of the core platform data and context capabilities (Teamwork Graph) and manage the end-to-end adoption journey. - The role involves defining the adoption strategy, building narratives for both technical and business audiences, driving full-funnel engagement, and enabling cross-functional teams. - It also requires measuring impact with adoption signals and feedback, iterating on programs, and evangelizing the platform through external forums, customer briefings, webinars, and communities.

Atlassian offers flexible work locations (office, home, or a mix) and hires globally within its legal entities, with virtual interviews and onboarding as part of its distributed-first approach. They’re seeking a Sr. Solutions Engineer for the Mid-Market team who will be a solution expert throughout the sales cycle, solving enterprise customers’ toughest business problems with Atlassian products and helping close deals. The role belongs to the Solutions Engineering Core Team, which emphasizes value selling and a collaborative “play as a team” culture where employees work with Atlassian, not for Atlassian, and pursue high earnings potential in enterprise opportunities. Responsibilities include customer discovery, mapping business problems to Atlassian solutions, identifying cross-product opportunities, leading compelling value-based demonstrations, and guiding customers’ technical needs to secure buy-in. The role also requires forging strong partnerships with account executives, maintaining pipeline dialogue, collecting product feedback and competitive intelligence for internal advocacy, and continuously learning to refine pre-sales and product knowledge.

Atlassian offers flexible work locations and hires globally in any country where it has a legal entity to support personal priorities. The Networking team builds and operates shared services that route and protect traffic across Atlassian’s cloud infrastructure, covering API gateways, rate limiting, service connectivity, and real-time messaging to deliver reliable experiences at scale. As a P50 Senior Software Engineer, you will design, build, and operate distributed platform services, taking projects from ambiguous problems through design, implementation, rollout, and production ownership while collaborating with engineers, architects, and internal customers. You will own end-to-end projects to improve reliability, performance, scalability, and operational efficiency; evolve networking capabilities across AWS, GCP, and Kubernetes; implement traffic-control and observability; participate in on-call duties; and mentor other engineers. Requirements include independent, production-scale backend delivery experience and proficiency in Java, Kotlin, Go, or Python, plus a solid understanding of networking, distributed systems, HTTP/REST, debugging production issues, and CI/CD; desirable skills include API/traffic management, cloud infrastructure, containers, and demonstrated outcomes in 6–12 months like improved reliability or reduced latency.

Atlassian offers flexible work locations (office, home, or hybrid), hires in any country where it has a legal entity, and conducts interviews and onboarding virtually as part of its distributed-first approach. They are hiring a Sr. Solutions Engineer for the Mid-Market business who will be a solution expert in the sales cycle, solve enterprise customers’ toughest business problems with Atlassian products, and help close enterprise deals. The team operates with a value-selling mindset and a “play as a team” ethos, emphasizing collaboration and noting that employees work with Atlassian, not for Atlassian, with strong earnings potential in cloud and AI opportunities. The role involves partnering with direct sales, partners, and larger account teams on Mid-Market Accounts, tracking customer profiles, business problems, roadmaps, and solution success within the account territory. Responsibilities include customer discovery, identifying cross-product opportunities, serving as a pre-sales product expert, leading value-based demonstrations, guiding customers’ technical needs, building partnerships with account executives, and continually learning to improve pre-sales knowledge and processes.

At Atlassian, we’re hiring a Senior Engineering Manager, GTM Systems to lead a global SalesTech engineering team responsible for architecting, building, and scaling the Go-To-Market engine, including the core Salesforce ecosystem (Sales Cloud, Experience Cloud) and other tools and data integrations across Commerce, Marketing, and Billing. You will lead a globally distributed team of full-stack engineers, Salesforce developers, and integration specialists, mentor them, promote technical excellence, and manage sprint planning, capacity, and resource allocation across foundational programs, NPIs, and BAU operations. You will set the architectural vision and engineering standards for the Salesforce platform and backend microservices, drive stabilization and re-architecture of critical data flows, champion modern full-stack practices and CI/CD, and oversee design reviews and governance across 20+ enterprise systems. You will partner with Product Managers, Solution Architects, TPMs, and Sales Ops to translate revenue strategies into scalable technical solutions, drive initiatives around new pricing and business models, and maintain observability to prevent revenue leakage and bottlenecks. Qualifications include 12+ years in enterprise B2B SaaS with 4+ years of people management, strong Salesforce expertise (Sales Cloud, Experience Cloud, Apex, LWC, Platform Events, SOQL), full-stack skills (Java, Node.js, React/TypeScript, Python), API and event-driven design, cloud/AWS experience, and leadership with strong communication; Salesforce certifications are preferred, and experience with billing or marketing integrations and AI-assisted tooling is a plus.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires globally in any country where it has a legal entity. The Product Data Engineering (DE) organization is looking for a Senior Data Engineer to design premier data architecture and solutions that drive strategic decision-making. The role involves translating operational needs into technical requirements, spearheading high-impact company-wide initiatives, and mentoring junior engineers to foster technical excellence. You will collaborate with leadership, product engineers, program managers, and data scientists to understand business data requirements and to design scalable data models and high-performance ELT/ETL pipelines for large-scale and specialized datasets. You will implement data quality frameworks, own the end-to-end data engineering lifecycle, participate in on-call rotations for platform stability, and partner with software teams to build next-generation data systems enabling rapid self-service data consumption.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. They’re seeking a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing robust pipelines and infrastructure to monitor data drift across Salesforce, Oracle Fusion, Gainsight, and Databricks. The role involves evolving the data stack, championing best practices in data processing and analytics design, and building a robust AI context layer for safe AI agent interaction. Responsibilities include designing, building, and maintaining data infrastructure for quality and accessibility, leading development of data products and the AI context layer, and creating canonical datasets via high-volume ETL/ELT pipelines while partnering with finance and cross-functional teams to flag inconsistencies and support close of books with impact analyses. Additional duties cover owning core system data transformations from requirements through UAT to data engineering implementation, finding efficiencies to reduce manual processes, and investigating bugs with UAT/QA for bug fixes and feature releases.

Atlassian supports flexible work arrangements—office, home, or hybrid—and hires in any country where it has a legal entity. The Senior Machine Learning Engineer — Agentic Search will join the Search Relevance team to build agentic search systems that help people and AI agents discover enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools. You’ll own end-to-end projects, build capabilities via APIs and protocols like the Model Context Protocol (MCP), create reproducible benchmarks and evaluation tools, and use findings to improve the full search system, including model behavior and interfaces. Candidates should have a bachelor’s or master’s in CS (or equivalent), 4+ years of production ML experience, strong Python, and experience with LLMs, AI agents, information retrieval, or NLP, plus the ability to lead ambiguous projects and communicate with engineering and product partners. Nice-to-have items include building tools for agents, API/interface design for AI agents (including MCP), reproducible benchmarks, retrieval-augmented or semantic search, LLM fine-tuning, and experience with distributed data processing and cloud ML environments such as Spark, AWS, or Databricks.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. - The company is seeking a Sales Leader to oversee a team of Teamwork Collection Specialists focused on enterprise and strategic customers, developing sales strategies that highlight Loom, Rovo, Jira, and Confluence to drive the Teamwork Collection and meet aggressive revenue targets. - The role involves collaborating with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales processes, drive value propositions, and elevate customer satisfaction. - Responsibilities include recruiting and developing top sales talent, mentoring the team, setting and tracking performance goals, onboarding new hires, analyzing sales data and market trends, and reporting progress to senior management. - Additional duties include building relationships with peer leaders across Core and complementary teams, staying informed on industry trends and competitor activity in Enterprise/Strategic segments, and applying knowledge of organizational teamwork workflows with a focus on Software Delivery and the evolving role of AI.

At Atlassian, the mission is to unleash the potential of every team through open work, and as a CSM you will partner with DX’s customers to drive engineering transformation using our platform. You will manage a key segment of customers from implementation through rollout and renewal, focusing on program success, product utilization, business alignment, and high-value use cases. Atlassians can work anywhere—office, home, or hybrid—and the company hires in any country where it has a legal entity. You will join a collaborative team reporting to the Manager of Commercial Customer Success, with a goal of building an exceptional customer success function and driving real change for customers. Your responsibilities include owning the full lifecycle, creating a customer success plan, meeting renewal and expansion targets, forecasting renewals, addressing renewal challenges, positioning DX as a strategic driver, conducting executive discussions, exploring expansion opportunities, collaborating across functions, and tracking key metrics.

Zendesk is seeking an AI-forward Manager, SMB Sales to lead Account Executives, drive revenue in new business and expansion, and use AI, data, and strategic insight to accelerate growth and deliver scalable, AI-powered customer outcomes. You will lead coaching and development, set quotas, recruit and onboard talent, manage high-velocity sales cycles, build AI-driven strategic roadmaps and ROI cases, identify expansion opportunities, and collaborate with Solutions Engineers, Product, and Marketing, while also forecasting, reviewing pipelines, and maintaining dashboards for leadership visibility. Requirements include extensive sales leadership in SaaS or customer support tech, a consistent track record of 100%+ quota attainment, experience managing high-velocity and six-figure deals, proficiency with AI tools and predictive analytics, cross-functional collaboration, strong presentation and forecasting skills, a BA/BS or equivalent, and willingness to travel. The US annualized OTE ranges from $170,000 to $254,000 with a 50/50 base/commission split, and offers may include bonuses or benefits, with final offers based on capabilities and location. Zendesk emphasizes its mission, hybrid work model, commitment to diversity and inclusion, equal opportunity employment, and accommodations for applicants with disabilities, noting that AI screening may be used in the hiring process.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity to support employees’ family, personal goals, and priorities. - The company is seeking a Senior Solutions Engineer, Strategic for its strategic business, who will be a product expert in the sales cycle and help solve customers’ hardest business problems to close enterprise deals. - The role involves partnering with sales, partners, and executive-level customers in large global accounts, conducting discovery, mapping needs to Atlassian products, and leading value-based demonstrations. - You will identify cross-product opportunities, lead cross-functional teams, document customer feedback and competitive intelligence for internal product management, and continuously expand pre-sales knowledge. - Compensation includes benefits, bonuses, commissions, and equity, with US base pay zones and ranges (Zone A: $168,300–$219,725; Zone B: $151,271–$197,493; Zone C: $139,506–$182,132), with more details at go.atlassian.com/payzones and confirmation of the zone with a recruiter.

- Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country with a legal entity. - This role, Manager of Customer Success Architects (AI), leads a pod focused on adopting Atlassian's Rovo AI platform and owns its operational health and delivery of time-boxed engagements that yield measurable business value. - You’ll hire, coach, and develop Customer Success Architects, oversee capacity planning and engagement quality, track adoption metrics, and collaborate with Pre-Sales, Post-Sales, Product, and Engineering to deliver AI solutions and expand use cases. - You’ll partner with Account Teams, CSMs, and Sales to align pod capacity with pipeline, ensure enablement and current playbooks, iterate on methodology, onboard new hires, surface product friction to influence the roadmap, and represent TAS in cross-functional forums while highlighting customer successes. - The role requires familiarity with GDPR and EU AI Act regulatory frameworks and may involve travel up to 15% domestically and internationally.

Atlassian offers flexible work arrangements—office, home, or hybrid—and hires in any country where it has a legal entity to support employees' priorities. Its products, including Jira Software, Confluence, and Jira Service Management, help teams collaborate and are used by a wide range of customers from Fortune 500 companies to NASA and Audi. The Mid-Market sales role owns 45-75 accounts (200-10,000 seats), carries a $2-4M annual quota, and leads a cross-functional deal team to drive net-new growth and expansion while building executive relationships and applying MEDDPICC to close complex opportunities. The role collaborates with channel, marketing, product, and customer success, negotiates and prices contracts, sources leads to maintain pipeline, forecasts accurately, and travels occasionally for meetings and events. A key focus is advocating for customers, providing feedback to product and engineering, staying current on industry trends and competitors to maintain a competitive edge, and embodying Atlassian values and a team approach to deploying at scale.

Atlassian allows employees to choose where they work—office, home, or a hybrid—and hires people in any country where it has a legal entity. The company is seeking a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solve customers’ hardest business problems with Atlassian products, and help close enterprise deals. In this role, you will partner with sales teams, executives, and customers on transformation deals, conduct customer discovery to map needs to Atlassian products, identify cross-product opportunities, and lead value-based demonstrations while guiding technical requirements to gain buy-in. You will also build strong partnerships with aligned account executives, support cross-functional teams, track and document product feedback and competitive intelligence, and continuously learn about Atlassian’s offerings and sales processes. Compensation is designed to be equitable and competitive, with location-based pay zones and potential benefits, bonuses, commissions, and equity; in the United States, base pay ranges are Zone A: $168,300–$219,725, Zone B: $151,271–$197,493, and Zone C: $139,506–$182,132, with additional details available at go.atlassian.com/payzones.

The Commercial (Mid-Market) Sales Team at Miro drives growth by acquiring new customers and expanding existing accounts, operating in a collaborative, ambitious culture aligned with Miro’s mission to empower teams. As a Commercial Account Executive, you’ll target companies with 500–3,000 employees across multiple industries, working in a fast-changing AI-enabled landscape with no one-size-fits-all playbook. Your responsibilities include developing a territory strategy with tools like Salesforce, Outreach, Nooks, Claude CoWork, and Gong; running a solution-based, multi-stakeholder sales process; building and maintaining a pipeline of new business, expansion, and renewals; and guiding C-level and VP-level buyers end-to-end through the buying journey. Requirements: 2–4+ years of full-cycle SaaS AE experience with a track record in mid-market/commercial, experience with structured MEDDPICC processes, leading an account team, adaptability to ambiguity, and experience in hyper-growth or organizational changes across industries. Perks include global benefits like equity, wellbeing, a WFH equipment allowance, and an L&D stipend; Miro is a global visual workspace enabling teams to collaborate, and the company emphasizes diversity, belonging, and an inclusive environment with a Recruitment Privacy Policy.

The role is GTM GM of Fashion within Miro's Professional Services, tasked with owning the strategy, go-to-market, and commercial success of Miro for Fashion as a new vertical, working with Product, Engineering, Marketing, and GTM to build it from the ground up. You’ll create zero-to-one specialized fashion workflows from seasonal planning to daily execution, identify cross-functional fashion use cases, map target accounts and buying committees, align GTM with the industry, collaborate with Product and Engineering on roadmap decisions, represent Miro externally, and recruit and scale the vertical. Non-negotiable requirements include deep fashion industry experience, end-to-end season experience, familiarity with digital tools (PLM, 3D design, merchandising, etc.), strong sales ability or enterprise sales experience, and credibility at industry events and leadership that builds trust quickly. What’s in it for you: equity, wellbeing benefits, a WFH equipment allowance, an annual Learning & Development stipend, and location-based salary ranges (Los Angeles, San Francisco, New York) listed as $264–$330 USD, with final compensation based on skills and experience. About Miro: a visual workspace for distributed teams with over 100 million users, co-headquartered in San Francisco and Amsterdam, emphasizing collaboration, inclusion, and a mission to empower teams to create the next big thing.

At Atlassian, employees can work in an office, from home, or a mix, and the company hires in any country where it has a legal entity. The Team Atlassian continues to invest in our largest, most strategic customers, partnering with 82% of the Fortune 500 and with teams at IBM, Tesla, Dish, Lufthansa, and more. Our Account Management team aims to deepen customer relationships, drive retention, and accelerate expansion across Atlassian’s core products, in partnership with the Global Sales Team to grow the total book of business. We seek a commercial leader with 7+ years of experience who can manage multiple complex sales cycles, identify strategic expansion opportunities, and advocate for customers while aligning with Atlassian’s strategy. You will accelerate revenue across the product portfolio, lead strategic account planning, develop executive relationships, manage high-value renewals and multi-million dollar cycles, drive platform consolidation and Data Center-to-Cloud migrations, support AI capabilities, conduct value reviews, maintain forecast accuracy, identify risks early, and coordinate cross-functional teams to support growth.

The Director, Contact Center Platform Architecture at Zendesk leads a globally distributed, hands-on solutions architecture team focused on customer experience, cloud contact centers, and AI, while engaging with enterprise customers and executives. You'll grow and coach the team, set technical direction across AWS, Amazon Connect, Zendesk, and enterprise systems, and ensure security, reliability, integration, and maintainability, while staying involved in important customer opportunities, prototypes, and proofs of concept. You will lead customer engagements, explain architecture and trade-offs to executives and technical teams, and represent the team in executive meetings, customer engagements, industry events, and analyst briefings, while collaborating with Sales, Product, Engineering, Customer Success, Services, Partner and Marketing. Requirements include 10+ years in solutions architecture or equivalent, 5+ years managing and developing technical, customer-facing professionals, 5+ years in contact-centre technologies, hands-on AWS and Amazon Connect experience, and a track record designing enterprise CCaaS solutions and presenting to senior or C-level audiences. Preferred qualifications include leading globally distributed teams, AWS Solutions Architect or Amazon Connect certifications, CCaaS migrations, familiarity with SIP/WebRTC/APIs and event-driven architectures, experience with contact-centre AI/automation/workforce management, and coding for prototypes; the posting notes a US OTE range of $317,000–$475,000 with a 70/30 base/commission split, plus hybrid work, equal opportunity employment, and accommodations policies.

The Atlassian Advisory Services team is a globally distributed group of Atlassian experts focused on customer success, working with large strategic and enterprise organizations to deliver delightful solutions and maximize the benefits of Atlassian investments. They hire great people, trust them to be great, and want to see ideas in action; they are hiring a Solution Consultant with a DC and Cloud Platform skillset to join the Advisory Services’ Public Sector team as an individual contributor (not managerial). Solution Consultants are experts in Atlassian products, practices, and solutions, delivering guidance to drive value realization for clients who purchased Advisory Services, providing strategic technical guidance at scale and aligning product capabilities with business outcomes. Their responsibilities include collaborating with peers to align on strategic outcomes, partnering with customers to solve business challenges using Atlassian products, identifying opportunities for service and product expansion, cultivating deep industry expertise, creating technical solution content and prescriptive guidance, and partnering with non-customer-facing teams to advocate for customer needs and innovative solutions. They may spend up to 30% of their time traveling domestically, and in some cases internationally, for internal and customer-facing events.

- Atlassian supports flexible work options (office, remote, or hybrid) and hires in any country where the company has a legal entity. - The role resides on the Spark Growth team, focusing on customer acquisition through experimentation and building AEO/SEO features on top-of-funnel surfaces to help millions discover Atlassian products. - It includes people leadership responsibilities—mentoring engineers, fostering an inclusive, high-performing culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team health. - You will own delivery outcomes across multiple top-of-funnel workstreams, optimize priorities and processes, and provide technical leadership and architecture while establishing AEO methodologies and maintaining engineering excellence and system resilience. - The ideal candidate has 5+ years of experience leading software engineering teams, a CS degree (or equivalent), strong background in distributed systems and cloud infrastructure, experience with applied AI/ML systems, and a track record of collaborating with product managers and designers to shape strategy.

Atlassian supports flexible work arrangements and hires globally wherever they have a legal entity. The Senior Manager will build and drive Government Cloud platform components, lead a 10–15 engineer team, own the go/no-go framework, and shift from continuous delivery to operator-approved releases, with hands-on leadership. Responsibilities include owning the Government releases process (planning, branch/versioning, readiness, cutover, rollback), running the release calendar and dependency map, and defining “ready to ship” criteria, including escalation for release-impacting incidents. They will drive a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout/canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling. Collaboration across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance will align release readiness with launch readiness, with clear communication to senior leadership, blameless post-release reviews, and adherence to change-management/audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian offers flexible work locations and global hiring in countries where it has a legal entity, allowing employees to balance family and personal priorities. Atlassian’s Trusted Data Platform (TDP) provides secure, scalable data storage for product and platform teams, addressing data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operations. TDP SQL is the managed relational database platform that enables engineers to build applications on relational databases without managing underlying infrastructure, availability, security, scaling, or enterprise controls themselves. The company is seeking a Senior Engineering Manager to lead the TDP SQL team, responsible for the team’s people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product and program leaders, infrastructure teams, security specialists, and product organizations to evolve TDP SQL into a dependable, easy-to-adopt internal platform. Key responsibilities include building an inclusive, high-performing team; defining strategy and roadmap; ensuring reliability, incident response, and compliance; guiding architectural direction across clouds; managing cross-functional dependencies and cost; and delivering measurable outcomes with emphasis on platform adoption and enterprise requirements.

Zendesk is hiring a Vice President, Total Rewards to lead global compensation, benefits, accommodations and HR compliance, defining a holistic total rewards strategy and modernizing delivery with analytics, automation and AI while briefing executive leadership and the Board as needed. The role serves as the enterprise owner of Total Rewards standards, responsible for global policy, program design, compliance posture, and a scalable roadmap, and acts as an executive advisor on people risk, pay strategy, and program impact with board-facing materials. Key duties include designing competitive compensation, equity and benefits programs (base, variable, sales comp), partnering with executives on executive compensation, and driving AI-enabled automation to surface pay equity insights, model scenario impacts, and simplify operations. Requirements include 12+ years of HR experience with deep Total Rewards and executive compensation, 7+ years in senior/global leadership, global SaaS/technology experience, proficiency with HR analytics and automation, and strong cross-functional collaboration and board communication; preferred experience with SaaS/AI, Workday, and global equity or sales compensation programs, along with AI literacy and governance capabilities. The US base salary ranges $283,000–$425,000 with potential bonus/benefits; Zendesk promotes hybrid work, diversity and inclusion, and informs applicants that AI or automated decision systems may screen applications, while accommodations are available for applicants with disabilities.

The AI Success Strategist at Zendesk leads end-to-end delivery of customers’ AI roadmaps, translating product capabilities into clear business strategies, defining a long-term AI vision, and building executive partnerships to launch AI initiatives strongly and scale them predictably. The role’s mission is to accelerate time-to-value by driving adoption and operational excellence for Zendesk AI solutions, owning multi-year roadmaps and orchestrating cross-functional delivery to improve renewals, growth, and measurable business impact. Responsibilities include owning AI roadmap design and execution, serving as the design authority for deployments, coordinating cross-functional teams, partnering with executives on long-term AI strategy, maintaining mutual AI roadmaps, and driving data-driven adoption metrics and responsible AI practices. Qualifications include 10+ years in customer success/experience, 2+ years in AI-related roles, enterprise SaaS GTM experience in relevant roles, experience with adoption analytics, a bachelor’s degree (advanced degrees and AI strategy/project mgmt certs preferred), and AI domain knowledge as a plus. Compensation is US OTE $185k–$277k with a 70/30 base/commission mix (bonus/benefits possible); Zendesk supports hybrid work, is an equal opportunity employer, and may screen applicants with AI systems while providing accommodations.

At Atlassian, employees can work in an office, from home, or a combination, giving them more control over family, personal goals, and priorities. They hire people in any country where they have a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first company. As a Senior ML System Engineer in the Rovo GenAI Platform team, you will build and maintain the core infrastructure that lets ML engineers and data scientists develop, train, evaluate, deploy, and operate ML models and pipelines to power Atlassian's GenAI products. You will use your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges, with the opportunity to lead other engineers from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity, to support employees' family and personal priorities. They’re looking for a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, grow active users, and provide forecasting for top-line metrics. The role spans the full end-to-end ML lifecycle, from problem definition and experimentation to production deployment and continuous improvement, with an emphasis on scalable, production-quality forecasting models. Responsibilities include designing system and model architectures, developing rigorous evaluation methods, building scalable ML infrastructure, collaborating with Growth, GTM, Product, Finance, and Sales, mentoring junior engineers, and explaining ML concepts clearly to technical and non-technical audiences. Interviews and onboarding are virtual as part of Atlassian’s distributed-first approach, and the candidate should translate complex problems into practical, high-impact solutions that balance quality, speed, and measurable business outcomes.

- Miro's Demand Marketing team drives enterprise market leadership by collaborating across growth, sales, and customer success to acquire and expand enterprise customers, supplementing product-led growth with B2B marketing tactics. - The Senior Regional Marketing Manager for AMER will design and execute a localized North America marketing strategy, drive pipeline and revenue, and collaborate closely with Sales, Customer Success, Product Marketing, and other marketing teams. - Responsibilities include building and executing regional programs (events, ABM, field programs), aligning with sales and partners, leveraging digital tactics, and regularly reporting on metrics, ROI, and pipeline while owning the regional budget. - Requirements are 7+ years of B2B SaaS marketing, a proven full-funnel campaign track record, deep AMER B2B knowledge, CRM/MA proficiency, strong cross-functional collaboration and project management, decisiveness in ambiguity, and an AI-first mindset with demonstrated AI usage. - The role offers benefits and location-specific salary ranges (San Francisco: $152,000–$228,000; New York: $144,000–$216,000) along with Miro’s emphasis on diversity, inclusion, and a recruitment privacy policy.

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.

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.

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.

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.

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.

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.

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.

Zendesk is hiring a Technical Sales Engineer to join the engineering presales team, focusing on coding, API integrations, and production-ready POCs to demonstrate the platform’s AI capabilities to customers. Responsibilities include delivering customized POCs and demos, building and maintaining API integrations across complex client stacks, supporting deep technical validations, and helping scale internal tooling and automation templates for the field team, while staying current on AI trends like LLMs and autonomous workflows. Required qualifications include a bachelor’s in a technical field, 2–4 years in a technical client-facing role or hands-on software development, proficiency with JavaScript, Python, Node.js, and REST/SOAP APIs, and willingness to travel ~30%. Preferred qualifications include familiarity with enterprise software infrastructure and cloud ecosystems (AWS/GCP/Azure), experience presenting to technical and non-technical audiences, and a portfolio of personal projects or GitHub contributions. Compensation includes US OTE of $188k–$282k with an 80/20 base/commission split, a hybrid work model with in-office requirements, and Zendesk’s commitment to equal opportunity and accommodations, including AI-based screening where applicable.

The role is Principal Product Manager for CRM & Sales Systems, owning the vision, strategy, and multi-year roadmap for the CRM (Salesforce) and broader sales tech stack, working as part of a leadership triad with the CRM Architect and CRM Platform Tech Lead to deliver an AI-enhanced CRM that changes how sales teams operate. You will define the vision, align technology investments with global sales goals, champion an AI-first mindset (including generative AI, predictive forecasting, copilots, and automated data capture), and redefine sales workflows to reduce friction and enable new ways of working. You will lead the triad, translate business needs into product requirements, maintain deep stakeholder alignment with Sales Leadership, Revenue Operations, Enablement, and Marketing, and relentlessly prioritize the backlog while balancing strategic features with technical debt and system performance, plus define and track KPIs such as adoption, user satisfaction, time-to-quote, data hygiene, and AI adoption rates. Requirements include 8+ years in Product Management with at least 3+ years in internal GTM systems/CRM/Sales Ops at Principal or Senior level, an AI-first focus, deep B2B sales domain expertise, technical fluency with Salesforce and AI integrations, and a track record of cross-functional triad collaboration and user-centric design; bonus points for prior Sales/RevOps/Sales Engineering experience, Salesforce certifications, and prior AI product rollouts. The package includes a US base salary range of $183,000-$275,000 with possible bonuses or incentives, while Zendesk emphasizes hybrid work, diversity, inclusion, equal opportunity, and accommodations for applicants with disabilities, including AI screening as part of the process.

The job is a hands-on CRM Platform Tech Lead at Zendesk who serves as the technical anchor for the CRM engineering team, focusing on immediate delivery and turning complex business requirements into scalable solutions while architects handle the multi-year roadmap. You’ll be the go-to technical expert for a squad of developers and admins, leading by example, owning sprint commitments, tackling the most complex coding challenges, and promoting an AI-first mindset to transform how technology is built and delivered. Your responsibilities include translating high-level requirements into executable technical designs (e.g., Flow vs Apex decisions, complex triggers, and custom UI components), driving solution engineering, accelerating delivery with AI-assisted tooling, mentoring the team, and enforcing code quality and release hygiene with QA and release management. Requirements include 10+ years of hands-on enterprise CRM development (preferably Salesforce) with at least 3+ years in a technical lead or squad lead role; expert-level proficiency in CRM development languages and frameworks (Apex, LWC, SOQL, REST/SOAP APIs, declarative automation); and an AI-first, delivery-focused, mentoring mindset, plus Agile proficiency; bonuses for advanced CRM certifications or experience implementing AI in CRM. The package includes a US base salary of $161,000-$241,000 with potential bonuses and benefits, Zendesk’s hybrid work model and commitment to fairness and inclusion, and information about AI-based screening and equal opportunity employment with accommodations if needed.

The job is a Senior Full Stack Engineer position at Zendesk to build a real-time voice AI product that makes live conversations feel natural and reliable, with a focus on reducing latency and improving AI-driven support. Responsibilities include designing and implementing backend services for real-time voice conversations with emphasis on latency, reliability, and observability; building integrations for telephony, WebRTC, real-time audio processing, and external AI/speech services; shipping end-to-end features; improving platform reliability through monitoring, tracing, autoscaling, and failure recovery; addressing turn-taking and graceful handoffs to humans while collaborating with product and design. Requirements include solid backend fundamentals with API design, async systems, and scalable integrations; hands-on experience with real-time systems (WebRTC, WebSockets) or telephony protocols; a product-driven engineering mindset; the ability to debug latency and reliability issues; and cross-functional collaboration. Basic qualifications are 3+ years building production software with significant backend experience, experience with real-time or event-driven systems (WebRTC, SIP, streaming APIs), and proficiency in Python or equivalent backend languages and async architectures; preferred qualifications include telephony stacks, SIP, media servers, or speech/ASR/TTS integrations, familiarity with LLMs or conversational AI production infrastructure, and experience on full-stack teams shipping both backend and frontend user experiences. The US base salary ranges from $145,000 to $217,000 with possible bonuses/benefits; Zendesk supports hybrid/remote work, may use AI screening for applications, and is an equal opportunity employer committed to diversity, inclusion, and accommodations for applicants with disabilities.

The role is a Senior Full Stack Engineer with a backend-first focus on building real-time voice AI systems, owning features end-to-end, and prioritizing latency, reliability, and conversation flow. Responsibilities include building backend systems powering real-time voice conversations, developing integrations for telephony, real-time audio, and external AI services, shipping features across the voice platform (including some user-facing web experiences), and improving platform reliability, observability, and performance while addressing real-time interaction challenges like interruptions and turn-taking. It’s exciting because you’ll directly impact how conversations feel, tackle low-latency and AI-powered workflows, own work across product, platform, and infrastructure, and help define early voice AI products. Qualifications include 3+ years of production software experience; backend-first with APIs, async systems, integrations, and system design; experience building and owning end-to-end product features; experience with real-time or event-driven systems such as WebSockets, WebRTC, or streaming; and a passion for product quality and user-facing problems (with interest in voice AI). Tech stack includes Python, FastAPI, React, TypeScript, WebRTC, Redis, MongoDB, and modern LLM/speech infrastructure; the US base salary range is $145,000-$217,000 with possible bonuses/benefits, with offers based on capabilities and location; Zendesk emphasizes hybrid work, inclusion, and accommodations for applicants.