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Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity, with products like Jira Software, Confluence, and Jira Service Management designed to unleash the potential of every team. The company’s solutions are used by the majority of the Fortune 500 and over 300,000 companies worldwide, including NASA, Audi, Kiva, Deutsche Bank, and Dropbox, to help teams collaborate and deliver quality results on time. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, pursuing cross-sell and expansion, nurturing relationships, and hitting revenue targets while advocating for customers and feeding feedback to product and engineering. In this role, you will own about 40 accounts (200–10,000 Atlassian seats), carry a $2–4M annual quota, and lead a cross-functional deal team (SDR, SE, SSE, AM, and partners) to establish territory and account plans and build executive relationships. You will qualify opportunities using MEDDPICC, close complex, multithreaded deals through outcome-based selling, collaborate with channel, marketing, product, and customer success teams, negotiate contracts, maintain a healthy pipeline with accurate forecasting, stay current on industry trends, and travel occasionally for meetings and events.

Atlassian supports a flexible, distributed-first work model with virtual interviews and hiring in any country where it has a legal entity. The Intern program combines hands-on technical training, professional growth, dedicated mentorship, and strong social connections to set students up for a successful Atlassian career. The PhD Research Intern role is preferred to be co-located in Seattle or within the Pacific Time Zone, with a paid 12-week internship typically running May/June through August/September 2027. You’ll join the Machine Learning Research team to work on advanced ML/AI technologies, focusing on LLMs, Generative AI, conversational agents, and AI optimization to address enterprise-scale problems. Responsibilities include cross-functional design and evaluation of experiments, dataset curation, training and alignment of LLMs for specialized applications, rigorous performance analyses, and contributions to publications and internal or top-tier venues.

Atlassian supports flexible, distributed work worldwide and hires in any country where it has a legal entity. The Grad++ program offers hands-on technical training, mentorship, and professional/social growth to help students start impactful careers, with a preferred co-location in Seattle or San Francisco. The company aims to unleash the potential of every team, offering products that enable collaboration and productivity across enterprises. It is recruiting Machine Learning Engineers to advance AI/ML initiatives, focusing on large language models, generative AI, search, conversational agents, and AI optimization to improve Atlassian's products. The role involves joining the Machine Learning Research team to design system and model architectures, run experiments and evaluations, and apply AI/ML to product problems, contributing to Atlassian Intelligence features.

Zendesk is hiring a Strategic Account Director to win new enterprise business, build executive relationships, and map customer priorities to Zendesk’s service and AI solutions, guiding opportunities from first contact through close. You’ll build and manage a qualified pipeline through targeted prospecting, inbound opportunities, partner relationships, and territory planning, and lead complex sales from discovery to negotiation and close. You’ll connect customer goals to a credible Zendesk platform with measurable outcomes, build cross-functional relationships across executive, business, technical, finance, security, and procurement teams, and own pursuit strategy and commercial decisions within guidelines. You’ll coordinate with Solution Engineers, Product Specialists, Marketing, SDR/BDR teams, partners, and leaders, maintain accurate CRM records and forecasts, surface risks early, and ensure a smooth handoff plus share market insights. Requirements include 12+ years in complex B2B SaaS, a track record of new-business and quota attainment, ability to discuss AI/automation credibly, and preferred experience closing large enterprise deals; Zendesk emphasizes AI literacy, hybrid work, diversity, equal opportunity, and accommodations as needed.

Zendesk is hiring a Strategic Account Director, Retail New Business to create and close net-new business with large retail and consumer brands, aligning executive priorities to Zendesk’s service, AI, and automation solutions. The role involves building a qualified pipeline through prospecting, inbound opportunities, partnerships, and territory planning, leading complex sales from discovery to close, and handing off to post-sale teams. It requires connecting customer goals to the Zendesk platform and AI solutions, building relationships across executive, technical, finance, security, and procurement teams, and keeping CRM records and forecasts accurate. Basic qualifications include 12+ years in complex retail software sales, a proven track record in new-business opportunities and measurable outcomes, plus experience with prospecting and executive engagement; equivalent practical experience is welcome and no specific degree is required. Preferred qualifications include closing large enterprise deals, demand creation, ROI storytelling, channel/partner experience, familiarity with service operations or AI-enabled transformation, and AI literacy; Zendesk supports hybrid work and is committed to diversity, equity, and inclusion, with policies on AI-assisted screening.

Sentry is a leading application monitoring company used by 200,000+ organizations, focused on fixing errors and performance issues before users notice and building an AI-native future. The role is an experienced engineering leader who will own the runtime and stateful systems in Platform, overseeing OLTP/OLAP databases, real-time compute and stream processing, blob storage, and distributed caching that power Sentry and Seer, in a hybrid San Francisco Bay Area position. You will set the technical vision, drive major architectural changes, own execution and operational excellence, and build and develop engineers and managers while partnering across Platform, Infrastructure, and Product. Qualifications include 12+ years in backend/platform infra, director-level leadership or equivalent, deep expertise in at least one domain (OLTP/OLAP/real-time/Blob/Cache), a track record of significant architectural changes, and strong cross-functional leadership and communication skills. Compensation ranges from $300,000 to $450,000 base plus up to 20% annual bonus, with benefits and equal opportunity; Sentry is open-source and provides accommodations and information in its privacy policy.

- Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance business demands with family responsibilities. - Atlassian is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle from awareness to retention and expansion. - The role focuses on turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences, including moving cross-flow ranking to a unified, value-aware orchestration system that weighs user context, conversion probability, and expected lifetime value. - You will design, build, and operate ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales experiences; define the strategy for evolving ML capabilities; and partner with product, engineering, data science, analytics, marketing, and sales to translate growth opportunities into measurable experiments and production capabilities. - The candidate should have a Bachelor's or Master’s in CS or equivalent, 5+ years of ML experience, proficiency in Python (and ideally Java/Typescript), SQL, Spark, and cloud data environments (AWS, Databricks); experience building large-scale models and datasets with evaluation frameworks; strong communication skills; and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference, with bonus for SaaS or consumer/B2B growth experience.

Atlassian offers flexible work arrangements (in-office, remote, or hybrid) and hires globally in any country where it has a legal entity. The Senior Machine Learning Engineer will join the Agentic Search team within Search Relevance to build agentic search systems that help users and AI agents discover enterprise knowledge and accomplish tasks across Atlassian products and developer workflows. The team designs systems that interpret intent, plan searches, use tools, and adapt to new evidence, with rigorous evaluation guiding development and cross-functional collaboration to improve the full search experience. Responsibilities include delivering agentic search capabilities through APIs and protocols like the Model Context Protocol (MCP), developing reproducible benchmarks, enabling trustworthy performance comparisons, and owning projects from design through deployment with ongoing measurement. Requirements include 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 technical projects; preferred skills include experience building tool-using agents, MCP, APIs, retrieval-augmented or semantic search, LLM fine-tuning, and cloud processing with Spark/AWS/Databricks.

The Senior CSA (AI) will join Atlassian’s Customer Success Architect team to drive adoption of the Rovo AI platform through time-boxed, co-built engagements that turn activation into measurable business value while creating repeatable, scalable playbooks and enablement. They’ll partner with enterprise teams on the most complex activations and maintain a strong link to Rovo Product and Engineering, combining deep AI and Atlassian platform expertise with customer success leadership to achieve measurable adoption outcomes at both the engagement and program levels. On day one, they’ll facilitate discovery workshops, co-design custom Rovo agents and connectors, and guide deployment from sandbox to production, ensuring agents perform, data flows are established, and teams can scale post-engagement. They’ll own the engagement methodology, build and iterate playbooks, onboard and train new team members, bridge Product and Field, and translate field feedback into product roadmap input while collaborating with Account Teams and Customer Success Managers on activation journeys and sustained growth. They’ll advocate across Rovo Product and Engineering to surface friction and broaden AI adoption into new use cases and markets, and travel up to 15% for events and customer meetings.

Sentry is a fast-growing open-source software monitoring company trusted by 200,000+ organizations that helps developers fix errors and performance issues and is building an AI-native future. The role is to make the Startup program a true growth engine, owning startup marketing end-to-end including the partner ecosystem, community presence, acquisition programs, and brand among founders and early engineers. You’ll be the face of Sentry for Startups, represent at YC and accelerator events, design founder-focused events, and turn existing programs into a cohesive partner program with bundled benefits. You’ll run day-to-day program operations (applications, eligibility, onboarding), evolve the credits structure, and own the startup acquisition funnel from free to credits to active paid, with the autonomy to shape strategy and measure results. The role requires 7+ years in marketing/growth/partnerships with startups, a track record building programs from scratch across growth/brand/community/partnerships, familiarity with developer tools or B2B SaaS, and strong partner-management skills; Sentry is an equal-opportunity employer that values inclusion and open-source culture.

At Atlassian, employees can choose to work in an office, from home, or a hybrid mix, and the company hires people 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 set students up for a successful and impactful career. The internship is a hybrid role based in Seattle, WA or San Francisco, CA, with no eligibility for F1 or J1 visas and no sponsorship offered. It runs for 12 weeks (May/June–August/September 2027), and from day one interns are part of the development team, reporting to Senior Engineers, contributing code that directly impacts products, and gaining deep knowledge of full lifecycle product development. The program sits within a unified R&D team that focuses on cloud migration while delivering value across core products like Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, giving employees control to support family and personal goals. The role is Senior Principal Forward Deployed Engineer (FDE) focused on applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and help shape the future of AI-powered teamwork. The FDE team partners with top organizations across industries to leverage Atlassian’s AI capabilities, while you grow technical and domain expertise and make a tangible business impact. Responsibilities include coding across the product suite, leading the design, development, and deployment of AI/ML solutions using Rovo, architecting robust integrations with Python/JavaScript and APIs/microservices, influencing product direction with customer feedback, promoting AI-augmented workflow automation, overseeing end-to-end production deployment with monitoring and improvement, and navigating AI risk, data privacy (GDPR), and regulatory requirements, plus mentoring others. You’ll also communicate complex technical concepts clearly to technical and non-technical stakeholders and align technical solutions with business objectives to deliver measurable results.

At Atlassian, employees can choose to work in an office, from home, or a combination, and the company can hire in any country where it has a legal entity to support personal goals and family needs. The future team aims to be a 100-year, world-class, empowered engineering organization built of distributed teams across global locations. In this role, you will build, mentor, and lead a high-performing full-stack team, drive developer experience and platform capabilities (including design systems, theming, rapid prototyping, AI-powered accessibility remediation, and tooling) to accelerate high-quality product work. You will scale Atlassian’s in-house translation and localization platform to improve quality, latency, and adoption, and partner with design, product, and engineering to embed accessibility, internationalization, and quality standards into platform tools and automated guardrails, while maintaining governance and release hygiene. Candidates should have 5+ years of experience managing software engineering teams, a track record guiding senior and principal engineers, a strong full-stack background with distributed systems and modern web tech, and experience with design systems, localization, or AI-assisted developer workflows, plus demonstrated ability to collaborate across time zones and foster a high-trust, mentorship-driven culture.

The Sales and Success Strategy team develops pragmatic, customer-centric go-to-market strategies that adapt to changing market dynamics and drive sustainable, profitable growth through data-driven insights and optimized sales processes to enhance customer experiences and increase market share. Success is measured by profitability, market share, and customer delight. Atlassian is seeking a Principal Strategist to develop GTM strategy across initiatives, evaluating opportunities with qualitative and quantitative methods to fuel P&L growth for customers. The role involves developing actionable GTM strategies from ideation to design, conducting internal and market due diligence, using frameworks, and creating scalable options to meet fiscal-year goals and long-term targets, while thriving as an individual contributor. Responsibilities include analyzing complex information, identifying opportunities, testing new ideas, performing financial and market analysis, and leading multi-layered stakeholder management to influence across all levels and marshal cross-functional resources.

At Atlassian, you can choose where you work—office, remote, or a hybrid—and the company hires in any country where it has a legal entity, giving you flexibility to support family and personal goals. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and work with product, engineering, and design to grow your technical and domain expertise. The FDE team partners with top organizations to help them leverage Atlassian’s AI capabilities to solve real-world problems, offering a high-visibility, high-impact role in fast-paced, ambiguous environments. You’ll lead the design, development, and deployment of AI/ML-powered solutions, architect integrations using Python or JavaScript, and drive data-driven insights while championing AI-augmented workflow automation and end-to-end production deployment. You’ll also navigate risk and compliance (AI risk assessment, GDPR, regulatory frameworks), mentor junior engineers, and communicate complex concepts to both technical and non-technical stakeholders while aligning solutions with business objectives and measurable results.

Atlassian offers flexible work options (office, home, or a mix) and hires globally wherever it has a legal entity. They are seeking a Sales Leader for the Teamwork Collection to develop and implement enterprise-focused sales strategies that showcase Teamwork Collection, Loom, and Rovo alongside Jira and Confluence to meet aggressive revenue targets. The role involves collaboration with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales procedures and elevate customer value and satisfaction. Responsibilities include recruiting and mentoring a high-performance sales team, setting goals, onboarding new members, analyzing sales data and market trends, and providing regular performance feedback and updates to senior management. The position also entails maintaining relationships with peer leaders, staying informed about industry and competitor dynamics in Enterprise/Strategic segments, and possessing working knowledge of organizational teamwork workflows, ideally with an emphasis on Software Delivery and the emergent role of AI in these segments.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. The Senior Principal Forward Deployed Engineer role sits at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and help organizations leverage Atlassian’s AI capabilities. You will lead the design, development, and deployment of AI/ML-powered solutions using Rovo, and architect robust integrations with Python/JavaScript, APIs, and enterprise-scale systems. You’ll influence product direction through customer collaboration, drive AI-augmented workflow automation, oversee end-to-end production deployments with monitoring and improvement, and navigate risk and compliance, including GDPR. You will mentor other engineers, foster innovation, and communicate complex concepts clearly to technical and non-technical stakeholders while aligning solutions with business objectives and measurable outcomes.

At Atlassian, you can work where you prefer—office, home, or a mix—and the company hires in any country with a legal entity to support your personal priorities. The role is a senior full-stack engineer on the DX team, comfortable with Ruby on Rails and raw SQL as well as React and TailwindCSS. You’ll own end-to-end features—from shaping problems with product and design to shipping high-quality code—in a scalable, cross-geo distributed environment, building robust backend APIs and contributing to customer-facing UI. You’ll review code for readability, testing, documentation, reliability, security, and performance; write performant SQL for complex queries and data workflows; and ensure visibility and monitoring of high-performing services. You’ll collaborate with engineers, designers, and product managers in Agile ceremonies, own projects from architecture to rollout, maintain a high quality bar, and help advance engineering practices around data correctness, reporting, and reliability.

Atlassian offers flexible work options—office, remote, or a mix—and hires people in any country where it has a legal entity. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and help shape the future of AI-enabled teamwork. You’ll lead the design, development, and deployment of AI/ML solutions tailored to customer needs, architect robust integrations using Python or JavaScript, and drive data-driven insights to inform product direction and workflow automation. You’ll oversee end-to-end production deployment, ensure ongoing evaluation and improvement, navigate AI risk and data privacy/regulatory requirements, and mentor junior engineers. You’ll also translate complex technical concepts for technical and non-technical stakeholders and align solutions with business objectives, establishing a clear vision and measurable results.

Atlassian supports flexible, distributed work and hires in any country with a legal entity, allowing collaboration from home, offices, or both. Its Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set up students for a successful career. The internship is a hybrid role based in Seattle, WA or San Francisco, CA, and it is not eligible for F1/J1 sponsorship or any work sponsorship. As an intern in the Security team, you will own a scoped project addressing a real security problem, guided by a Security Engineering Manager and mentored by a senior engineer. You’ll develop security tools and automation, conduct security research, use AI-assisted coding and research tools, potentially build AI-enabled security capabilities, and collaborate with security and software engineers through design discussions and reviews.

Atlassian offers flexible work options—remote, global offices, or a mix—and hires in any country where it has a legal entity. Its Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set students up for a successful career. This internship is a hybrid role based in Seattle, WA or San Francisco, CA, and applicants must be willing to work from those cities; it is not eligible for F1 or J1 students and does not provide work sponsorship. Atlassian builds AI/ML products, platforms, and infrastructure to address business, product, security, and engineering challenges across the company, including governance, compliance, recommendation and optimization, and ML development platforms. Interns will work on real-world AI/ML projects with mentors, translating business needs into technical projects, contributing to models, retrieval, and evaluation workflows, and evaluating solutions through experimentation, feedback, and documentation.

Zendesk’s Hunter Account Executive role is a new-business sales position aimed at turning priority prospects into customers through disciplined prospecting, consultative discovery, evidence-based value cases, executive selling, and a clean handoff to post-sale teams, and it does not own installed-base expansion. You will build and maintain qualified net-new pipeline to meet or exceed quota via targeted outbound, inbound conversion, and partner routes, lead a repeatable prospecting-to-close process, coordinate cross-functional teams, and maintain accurate CRM data and pipeline health. Day-one capabilities include a genuine new-business orientation, consultative discovery, multi-threaded selling to diverse stakeholders, strong ROI-focused commercial judgment, and CRM discipline, with typically 8–12 years of complex B2B SaaS experience and the ability to discuss AI and platform value (no specific degree required if experience demonstrates capability). The role requires AI-era thinking: discuss AI, automation, CX and platform value credibly at the business level, use approved AI tools while protecting confidentiality, distinguish human judgment from automation, and refine AI narratives with market and buyer insight. Compensation and culture include a US on-target earnings range of $111k–$167k with a 60/40 base/commission split, a hybrid work model with partial in-office presence, and Zendesk’s commitment to equal opportunity, diversity and inclusion, with possible AI screening and accommodations available upon request.

Sentry is a fast-growing application monitoring company trusted by 200,000+ organizations, helping developers fix errors and performance issues while building an AI-native future. The Foundational Storage team builds and supports stateful storage systems—object storage, relational databases, key-value stores, and caches—and creates APIs and abstractions so storage is consistent, durable, secure, and scalable for all products. As a Senior Software Engineer on the team, you’ll design and operate storage systems, solve challenges around consistency, availability, performance, and cost, and collaborate with product teams to turn storage needs into practical solutions. You’ll write primarily in Rust and Python, develop production-grade testing and chaos scenarios, own latency and availability SLOs, and work with Platform and Infra teams to deliver a fault-tolerant platform. Qualifications include 5+ years of distributed systems experience, production work with object storage, relational databases, or caches, Kubernetes experience, proficiency in Rust or other systems languages, and a compensation range of $190k-$400k with benefits, along with equal opportunity and accommodations.

Atlassian offers flexible work arrangements and hires in any country where it has a legal entity. The Risk and Compliance Senior Manager will drive Atlassian's risk and compliance strategy for cloud and enterprise programs, requiring deep expertise in compliance frameworks, risk management, and internal controls, and the ability to lead cross-functional initiatives and influence stakeholders at all levels. Responsibilities include owning the annual compliance plan, leading end-to-end audit activities across SOC 2, ISO 27001, HIPAA and other frameworks, managing control deficiencies, and driving continuous improvements in processes, metrics, and reporting, including applying AI to streamline audit preparation, evidence management, control monitoring, and reporting, while ensuring appropriate human oversight. The role involves collaborating strategically to align team objectives with organizational goals, building business cases, and serving as a trusted advisor to business partners and cross-functional peers. Required qualifications include 7+ years in technology risk management or information security, expertise in SOC 2/ISO 27001/HIPAA, external audit experience, strong communication and cross-functional collaboration, plus certifications such as CISA/CISM/CRISC/CISSP and familiarity with Jira/Confluence; experience with AI tools is a plus.

The role of a Customer Success Manager (CSM) at Atlassian DX is to partner with customers to drive engineering transformation using the platform, managing implementation, rollout, and renewal while focusing on product utilization, business alignment, and high-value use cases. Atlassians can work from office, home, or a mix, and the company can hire anywhere there is a legal entity. The CSM will join a collaborative team reporting to the Manager of Commercial Customer Success, with a broader aim of building an exceptional customer success function and influencing key decisions. Responsibilities include becoming a product expert, owning the full lifecycle, creating a customer success plan, meeting renewal and expansion targets, forecasting renewals, identifying renewal challenges, and positioning DX as a strategic driver through executive discussions and growth opportunities. The role requires close collaboration with all business functions, proactive tracking and reporting of key metrics, and continuous pursuit of customer success improvements.

The role is a North America–focused demand generation position that blends strategic planning with operational execution to drive multichannel campaigns that acquire new ICP contacts, engage them, and convert them into new logos. You will partner with the Global Integrated Marketing team to develop and execute scalable multi-channel campaigns, manage budgets and timelines, use AI and data to define high-intent audiences, and collaborate with content teams to align messaging with ICPs and buying stages. Responsibilities also include market research and competitor analysis, cross-functional activation in North America, and working with xDR teams on lead follow-up, e-gift and direct mail tactics, and programs like Monthly Prospecting Weeks to accelerate S1 and S2 opportunities. Campaign analysis and reporting involve monitoring performance, adjusting strategies based on KPIs, creating a culture of ongoing measurement, and presenting detailed insights and recommendations to stakeholders. Preferred qualifications include 5+ years in demand generation or B2B marketing, strong data-driven and analytical skills, excellent project management and communication abilities, proficiency with Marketo, Salesforce, 6Sense, and Tableau, and Zendesk’s hybrid work model, equal opportunity employer assurances, and a US base salary range of $148,000 to $222,000 with possible bonuses.

Zendesk's Creative Team designs high-impact brand moments to deliver a cohesive brand experience, and as Creative Lead for Experiential Marketing you will elevate the creative platform across digital and in-person experiences while collaborating with the Experiential Marketing team, Creative Studio, Communications, and the executive leadership team. Key responsibilities include owning the design system for Zendesk’s event architecture, translating brand strategy into connected experiences across presentations, livestreams, and in-person environments, and establishing guidance that allows internal teams and agencies to apply the system consistently while keeping each event distinct. You will lead the creative direction for flagship events (Relate, Showcase, AI Summit) and oversee storytelling across the attendee journey from demand generation to registration to on-site experiences, partnering with agencies from concept to execution to ensure a high creative bar. Required skills include strong expertise in event branding and customer experience, production understanding, brand activations and attendee engagement, cross-functional facilitation, business acumen, willingness to travel, coordination across time zones, and proficiency with Adobe, Figma, Google apps, plus experience with generative AI tools. The US base salary ranges from $179,000 to $269,000 with potential bonuses and benefits, Zendesk's hybrid work model and commitment to fairness and inclusion, and the note that AI may be used to screen applications, along with equal opportunity and accommodations for disabilities.

Atlassian offers flexible work locations and hires globally, with the Rovo + AI team aiming to shape the next era of teamwork by making Rovo a trusted intelligent teammate that delivers durable customer value. The Rovo Chat Quality team builds evaluation systems, datasets, quality signals, and production ML capabilities to measure and improve how Rovo performs for customers. As a Principal Machine Learning Engineer, you’ll be deeply hands-on while setting cross-team direction and driving advances in models, agents, and evaluation to meaningfully improve millions of users’ experiences. You’ll architect and operate production ML and evaluation systems at scale (including datasets, simulations, automated judges, regression suites, experimentation platforms, and online quality signals) and push Rovo’s capabilities in reasoning, planning, tool use, memory, and long-horizon execution; you’ll close the loop by identifying failure modes, shipping interventions, and linking them to better outcomes. You’ll lead ambitious cross-organizational initiatives, establish reusable methods and standards, and mentor others, leveraging a track record of large-scale ML, LLM/applications, production engineering, and strong leadership to drive safe, reliable, and cost-conscious AI products at Atlassian.

Atlassian supports flexible work arrangements—office, home, or a mix—and hires people in any country where it has a legal entity, giving employees greater control over family and personal goals. The Atlassian People team uses a data-informed approach and partners with business and technology groups to help employees innovate, lead, and grow their careers. The Employee Relations team provides expert support, guidance, and coaching to proactively resolve challenging employee issues and foster healthy workplace dynamics in collaboration with People Leaders and HRBPs. In this role, you’ll conduct end-to-end workplace investigations into grievances, policy violations, harassment, discrimination, and retaliation, delivering objective analysis and actionable recommendations, and you’ll coach managers on performance issues and involuntary separation risk. You’ll also serve as a subject matter expert on local employment laws, compliance guidelines, and Atlassian policies; leverage ER data to identify root causes and inform proactive training for leaders; and facilitate training on performance management, navigating difficult conversations, and compliance practices.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity to help employees balance family and personal goals. They are looking for a Data Engineer to join the Data Engineering team to build world-class data solutions and applications that power crucial decisions across the organization. The role requires an open-minded, structured thinker who is passionate about building systems at scale and helping establish Atlassian’s data-driven culture, including backend systems and data models to support analytics. Atlassian processes billions of events per month in its analytics platform, with dozens of teams relying on data and services across finance, growth, product analysis, customer support, sales, and marketing, and the team values direct communication and continuous improvement. The Data Engineer will own end-to-end problems, collaborate with extended teams to evolve solutions as business processes change, and continuously improve data by adding sources, coding business rules, and producing new metrics.

Atlassian is hiring a Senior Product Marketing Manager to own the go-to-market for Forge and the broader developer platform, blending product marketing with developer GTM. The role involves shaping the story for technical products, translating capabilities into developer value, and building GTM motions to drive awareness, activation, and adoption, with a near-term focus on TEAM for Builders, Atlassian’s Tier 1 developer event. You’ll own developer platform positioning, GTM for developers, and the TEAM for Builders strategy, coordinating with Product, Engineering, Advocacy, Events, Brand, Community, and Ecosystem to create a year-round developer engagement engine, plus lead Launch & Adoption for major platform releases and growth programs. Requirements include 7+ years in product/developer marketing or related fields, technical fluency, strong storytelling, a track record with complex launches or programs, and the ability to operate strategically while shipping. Atlassian supports flexible work arrangements (office, home, or hybrid) and hires globally where legal entities exist, with success defined by making TEAM for Builders a defining developer moment and cohesive GTM motion within the first year.

Sentry helps developers fix errors and performance issues faster, is trusted by 200,000+ organizations, and is building an AI-native future as the standard in application monitoring. The Security Team secures all things Sentry—customers, code, and everything in between—through cross-functional collaboration, security reviews, threat modeling, vulnerability management, and embedding secure coding into the engineering process. As a Security Engineer, you’ll work across application and platform security, mature the security review program, advocate for secure-by-design principles, and validate findings with scanning, testing, and penetration support across Sentry’s apps, SDKs, and cloud-based platform. Qualifications include 2-5 years of experience in designing, building, or securing complex apps and cloud systems; a CS degree or equivalent; hands-on experience with security reviews, SDLC, secure CI/CD, architecture reviews, threat modeling, vulnerability management, and bug bounty programs; plus proficiency in Python, TypeScript, Go, or Rust, and familiarity with AWS/GCP/Azure, Kubernetes, Docker, and Terraform, with a collaborative communication style and a willingness to apply even if not meeting 100% of the criteria. The base pay range is $155,000 to $200,000 USD, with benefits and equal opportunity commitments, accommodations, and a privacy policy, and Sentry notes its open-source, accessibility-focused culture.

Sentry is a software monitoring company trusted by over 200,000 organizations that helps developers fix errors and performance issues quickly while building an AI-native future. They are hiring a Senior Technical Program Manager based in San Francisco (three days per week in the office) to connect AI/ML work with Issues Platform, Product Design, and Ingest, clarifying ownership, sequencing work, and coordinating release readiness. The AI Delivery role involves aligning roadmaps into a shared delivery plan, sequencing platform capabilities and product features, assigning owners, and incorporating evaluation results, staged rollouts, eligibility, and access requirements. Change Readiness requires building a lightweight process to identify changes affecting other teams, notify partners, prepare documentation and support, and provide concise updates on what is changing, when, and who needs to act. Qualifications include experience leading complex cross-team programs, technical understanding to review designs and integration risks, strong written communication, and preferred experience shipping AI/ML features, working with data pipelines, or building developer tools, with a base salary range of $150,000 to $240,000 and an emphasis on equal opportunity and accommodations.

Sentry helps developers fix errors and performance issues quickly, trusted by over 200,000 organizations and moving toward an AI-native future. The Billing team sits at the intersection of product, finance, and infrastructure, ensuring every observable event is measured, priced, and billed, directly impacting revenue and customer trust. As a Senior Software Engineer, you will architect and scale Sentry’s billing infrastructure, build the next-generation usage tracking pipeline processing hundreds of billions of events daily with financial-grade accuracy, and design flexible pricing primitives to support various models. The role requires delivering high-stakes, reliable systems, mentoring engineers, and collaborating cross-functionally to enable new products and pricing while maintaining revenue accuracy and quick time-to-market. The position offers a base salary range of $215,000 to $400,000 plus benefits, and Sentry emphasizes equal opportunity, accommodations, and its open-source mission.

Sentry is a fast-growing, open-source-based application monitoring company trusted by 200,000+ organizations and focused on an AI-native future. The Senior Engineer role in Seer builds the platform on which agents run real production problem-solving tasks for customers, enabling product teams to ship AI features without rebuilding the plumbing each time. You will build state-of-the-art agentic AI platforms to triage, debug, and solve production issues, make every run debuggable with traces, cost and latency per run, and context to explain a bad answer, and develop eval/rollout tooling to swap models while leveraging Sentry’s massive dataset of errors, spans, and profiles. Qualifications include 5+ years building production systems (including LLM-backed products), solid production Python and TypeScript, good distributed-systems instincts, with model training experience a plus but not required. The base salary range is $155,000–$400,000 plus benefits, and Sentry emphasizes equal opportunity, accommodations for disabilities, and a diverse, open-source culture.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization, offering flexible work options (office, remote, or hybrid) and the ability to hire in any country where the company has a legal entity. In this role you will lead the development and productionization of advanced ML systems that help people discover, understand, and act on knowledge across Atlassian, spanning the full ML lifecycle from problem definition to deployment and optimization. You will partner with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous 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, and creating architectures that meet quality, latency, scale, privacy, and cost requirements across information retrieval, search ranking, personalization, NLP, deep learning, and large language model applications. You will design rigorous experiments and evaluations, collaborate to integrate AI capabilities into Atlassian products, translate research into reliable production systems, identify opportunities to improve model performance and developer experience, communicate trade-offs to diverse audiences, and contribute to a culture of experimentation and iterative delivery.

Atlassian is hiring a remote Customer Success Manager with Spanish language proficiency to help customers realize value from Atlassian investments by aligning strategic goals and enabling early and sustained outcomes through scalable methodologies. The CSM will build trusted advisor relationships with executives, admins, and global teams, guiding them through hurdles and delivering value realization via proactive, programmatic engagement and cross-product leadership. You’ll work across multiple products with the account team (account executive, solution partners, and other Atlassians), and develop Customer Success Plans, regular check-ins, Executive Business Reviews, and strategic planning sessions across Americas time zones. Responsibilities include post-sales relationship management, maintaining product knowledge to discuss relevant features, driving adoption and expansion, mitigating churn through early risk identification and escalation with the Account Associate, and acting as the Voice of the Customer. The role requires experience with SaaS enterprise models and fluency in English and Spanish to serve customers in Latin America and the United States.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever it has a legal entity. The company is seeking a Principal in Strategy and Business Operations to partner with the Rovo and AI organization, Atlassian's central AI platform team. The SBO team is high-impact, driving strategy, growth, and operations, owning projects from inception to delivery and delivering creative, high-quality recommendations while monitoring performance. The role will map AI innovations to company-wide priorities, drive data-driven decision-making, manage long- and short-term planning and OKRs, and lead business reviews for executives, collaborating with product, sales, marketing, data science, and finance. Candidates should have 8+ years in high-growth software/tech BizOps or related fields, be comfortable with ambiguity, possess strong executive presence and communication, and be adept with AI tools while staying curious and independent.

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 powering its AI products. The company offers flexible work options (office, remote, or hybrid) 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 across the full ML lifecycle from problem definition to deployment and continuous improvement. A key focus is making evaluation a first-class part of AI development—defining quality metrics, building evaluation datasets and benchmarks, analyzing model behavior, and using results to guide product decisions, including offline/online evaluations and error analysis. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams; mentor others; design scalable architectures; apply modern IR, NLP, DL, and LLM techniques; build evaluation-driven processes; and communicate technical decisions clearly to diverse audiences.

Atlassian offers flexible work options (office, home, or hybrid) and is hiring a Machine Learning Engineer for its Growth organization, which builds intelligent, personalized experiences to help customers discover value and advance through the lifecycle. The Growth team brings together product, engineering, data science, analytics, and product operations to improve how customers discover, adopt, and expand Atlassian, employing experimentation, personalization, and intelligent orchestration across the full funnel. The ML Engineer will design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including moving cross-flow ranking toward a unified, value-aware orchestration system. Responsibilities include defining ML strategy, partnering with cross-functional teams, building datasets, features, and evaluation frameworks, running offline and online experiments, and monitoring attribution, latency, quality, and fairness to optimize durable customer and portfolio value. Requirements include 5+ years of ML experience, a CS-focused degree, strong Python and familiarity with Java/Typescript, SQL, Spark, cloud data environments, experience with large-scale models, ability to communicate ML concepts to diverse audiences, an agile mindset, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; bonus points for SaaS/B2B growth experience and understanding funnel metrics.

Zendesk is seeking a Senior Sales Engineer to lead how leading brands leverage its AI-powered CX and ES platform, acting as a trusted advisor and collaborating with Sales, Product, Engineering, and Customer Success to turn ambitious goals into measurable results. Responsibilities include leading technical and business discovery, conducting AI readiness assessments, and designing tailored demos and proofs of value that demonstrate Zendesk's differentiated value. You will architect AI-driven CX and ES solutions, translating AI/ML capabilities into business-focused narratives for IT to the C-suite, own the end-to-end technical engagement through pilots, and ensure alignment with customer goals and compliance. The role requires 5+ years of presales or solutions consulting in SaaS or CX/enterprise software, deep AI knowledge (LLMs, NLP, automation), experience designing pilots/POCs, strong storytelling and communication skills, and willingness to travel. The position offers a US OTE of $226k–$338k (80/20 base/commission), a hybrid work model with part in-office attendance determined by the manager, and Zendesk’s commitment to equal opportunity, diversity, and accessibility, including AI-based screening and accommodations upon request.

Sentry is a leading application monitoring company trusted by over 200,000 organizations, focused on fixing errors and performance issues quickly so teams can spend more time building. The Staff Engineer role will help evolve Seer, Sentry’s AI debugger, by building agentic AI systems to triage and fix production issues, setting how agents get context and use tools, and steering major AI initiatives end to end. You’ll design evaluations to measure whether a new model or prompt helps, decide when to use frontier models, smaller ones, or self-trained models, and deploy and debug in production with the team. Qualifications include shipping an LLM-backed system, strong opinions on agent design with proven changes in the last year, experience with training or fine-tuning models when appropriate, solid production Python skills, and a track record of owning systems and mentoring across teams with clear design docs. The base salary ranges from $240,000 to $400,000, with benefits including incentive compensation, equity grants, paid time off, and group health insurance, along with Sentry’s equal-opportunity and accommodation policies and details in the Applicant Privacy Policy.

Sentry is a fast-growing application monitoring company trusted by 200,000+ organizations and is building an AI-native future. The Staff Software Engineer role sits in Platform and Infrastructure Engineering and focuses on scaling distributed systems, cloud infrastructure, real-time processing, and reliability at scale. You will design, build, and operate reliable distributed systems, own complex projects from design to production, and mentor others while influencing technical decisions. Qualifications include 8+ years of software engineering experience, deep expertise in distributed systems or infrastructure, cloud experience (AWS, GCP, or Azure), proficiency in Python, Go, or Java, and strong architectural judgment across areas like cloud infrastructure, distributed systems, data infrastructure, and reliability. Compensation includes a base salary range of $240k-$400k plus up to 15% annual bonus, along with benefits, equity, and a commitment to equal opportunity and disability accommodations.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to better support employees' family and personal goals. Dev Infra builds the tools, platforms, and infrastructure every Atlassian engineer uses, and this role is a Senior Principal Engineer for the AI Foundations team focused on making AI work well across engineering by shaping measurement, context, and compute. The reach of this work is unusual because Dev Infra designs and stress-tests the same developer tools Atlassian sells, so what you build will influence both how Atlassian ships software and what it ships to millions of developers. In this role you will set the technical vision for enabling AI across the software development lifecycle, stay hands-on by prototyping the hardest parts, writing code, and raising the engineering bar for others to meet. You will build foundational AI systems, give engineers real signal instead of hype, partner with engineering and product teams to decide when to buy, build, or create something purpose-built, and mentor senior engineers to raise the team's ceiling.

Atlassian is a distributed-first company with virtual interviews and hires in any country where it has a legal entity. The Intern program is a 12-week paid Product Design Internship (May/June 2027–Aug/Sept 2027), located in the Pacific Time Zone, requiring full-time 40 hours per week and not eligible for F1/J1 sponsorship or other work sponsorship. As a Product Design Intern, you’ll work on real design challenges to build AI-native, connected experiences across Jira, Confluence, and the Atlassian cloud, collaborating with product managers, engineers, researchers, and designers worldwide. You will apply interaction, visual, and systems design, use research insights and prototyping, and contribute to design systems while learning how AI and teamwork shape modern collaboration at scale. Minimum qualifications include a 12-week full-time commitment, current enrollment in a 4-year bachelor’s or 2-year master’s program with plans to graduate by June 2028, returning to school after the internship, and less than a year of professional experience; preferred qualifications include user-focused design experience and strong ability to plan and collaborate across teams.

Sentry is a fast-growing application monitoring company trusted by 200,000+ organizations and is building an AI-native future to help developers fix issues before users notice. The Senior Manager, Support Engineering role is a hands-on leadership position that oversees a team handling everything from a single developer’s SDK question to major production incidents, while shaping how AI is used in support. Responsibilities include growing and coaching the team, designing cross-time-zone coverage and on-call paths, owning support metrics, driving product and process improvements from support data, running AI-assisted support, and leading escalations with Engineering on high-stakes enterprise issues. Qualifications require 8+ years in technical support or software engineering at a SaaS/dev-tools company, 3+ years managing engineers, fluency in code (Python/JavaScript/Java/Ruby), understanding of distributed systems, hands-on AI/automation in support, and strong data-driven communication; bonuses include experience at a developer tools or observability company, former software engineer status, multi-time-zone teams, or open-source contributions. The base salary is $160,000–$180,000 plus benefits, and Sentry emphasizes equal opportunity, inclusion, accommodations, and its open-source ethos.

Atlassian offers flexible work locations and hires in any country with a legal entity. The company is hiring a Technical Head of Engineering to lead the Agent Platform, blending people management with deep technical leadership in applied ML, agent systems, platform engineering, and production-quality AI experiences, with hands-on coding possible. The Agent Platform Team builds foundational, secure, scalable capabilities for AI agents across Atlassian products like Rovo, Teamwork Graph, and Jira agent workflows, enabling agentic experiences that reason over work context and integrate with product workflows. The role exists because Atlassian is investing heavily in AI-native experiences and needs a leader to translate broad AI strategy into practical platform capabilities and an execution rhythm across fast-moving AI work. Key responsibilities include setting technical direction, mentoring a team, making production-grade decisions on ML systems and observability, establishing cadence and cross-team alignment, and fostering an inclusive, high-accountability culture.

At Atlassian, you can work flexibly in-office, from home, or a mix, and the company hires globally with virtual interviews and onboarding. The Senior Application Engineering Manager on the Corporate Engineering - Finance Technology team will lead a cross‑level group to develop and transform Oracle Fusion Cloud and other Finance SaaS apps, driving run-the-business operations and projects from design to launch while collaborating with internal customers. Responsibilities include maximizing Fusion Cloud features across core financial modules (OM, AR, AP, FA, GL), ensuring OKRs, and fostering an automation mindset with RPA and low-code/no-code tools, with exposure to AI/ML. The role also involves integrating Fusion Cloud with a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), focusing on metrics, SOX compliance with Internal Audit, and making a high-visibility impact across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit. Key qualifications include 9+ years as a hands-on senior engineering manager in Core Finance, expertise in Oracle Fusion Cloud and other SaaS systems, experience leading large transformations and automation initiatives, familiarity with AI/ML, 24x7 operations, and strong communication skills.

Atlassian supports flexible work locations—office, home, or a combination—to help employees balance family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you will contribute to Rovo Chat by bringing bleeding-edge innovations and building agent harnesses that improve quality, reliability, and latency. You will lead other engineers on projects from technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results. Your role is pivotal beyond these tasks to ensure AI's transformative potential is realized across our offerings, and the Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for teams to find, understand, and act on their knowledge, with a 10x growth in the product surface over the last year.

Atlassians can choose to work in an office, from home, or a mix, giving them flexibility to support family, personal goals, and other priorities, and Atlassian can hire in any country where it has a legal entity. You partner directly with Sales leadership to understand business performance, identify opportunities and risks, and shape priorities that improve GTM execution. You develop a deep understanding of the business you support—customers, pipeline, coverage, productivity, and performance—and use rigorous analysis to form a clear point of view on where the business should focus. You lead the operating rhythm for the business, including forecasting, pipeline reviews, business reviews, and planning, surface important issues, drive decisions, and maintain accountability; you also lead high-priority strategic and operational work for Sales leadership, structuring ambiguous problems and carrying work from initial question through decision, launch, and adoption. You build for scale from the outset, continually simplifying operations, automating where possible, and shaping annual and in-year GTM planning on capacity, coverage, territories, quotas, and investment, in partnership with Finance, Analytics, Compensation, Enablement, Systems, and central Operations to translate Sales priorities into execution.

Atlassian offers flexible work options and hires globally wherever there is a legal entity. They are seeking a Lead Product Designer for the AI Design team to work on AI experiences across Atlassian, including Rovo, with the team primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo and collaborating across the Jira, Confluence, and Loom portfolios on applied AI, while enabling the design organization to harness AI capabilities. The role requires partnering with leadership, stakeholders, and cross-functional teams to create a unified view of AI capabilities and working with engineers, PMs, content designers, researchers, marketing experts, and analysts to advocate for the user experience and ship high-quality work. The ideal candidate has 7+ years of product design experience for complex or enterprise software, experience with applied AI in product experiences like Search, AI Chat, and Agents, and strong systems-thinking skills to coordinate multiple teams, synthesize feedback, facilitate design discussions, and improve processes to increase product value and adoption of new capabilities.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally where it has a legal entity, empowering employees to support family and personal goals. Data is central to the business, with billions of events ingested monthly, and as AI consumes data, there is a standard for clear description, accurate classification, explicit ownership, and trustworthiness before use. Atlassian is seeking an Engineering Leader to join Data Engineering, owning data governance and the enterprise context that makes data trusted and AI-ready. The role includes owning the enterprise data governance operating model (domain ownership, decision rights, governance council, steward network) and setting policies for classification, access, retention, and acceptable use with Privacy, Legal, Security, and Compliance, while running data quality as a product and shaping the data catalog, metadata, and lineage platform. It also involves building a programmatic enterprise context linking business entities to ownership and lineage, exposing it for agents and applications, shifting governance left with data contracts and automated ingestion classification, defining AI readiness as a certifiable state, and driving adoption across a federated organization.

Atlassian offers flexible work options—office, home, or a combination—and can hire people in any country where they have a legal entity. They are hiring a Technical Head of Engineering to lead the Agent Platform, blending people-management with deep technical leadership across applied ML, agentic systems, platform engineering, and production-quality AI experiences, with the candidate able to function as either an individual contributor or a manager. The Agent Platform Team builds foundational capabilities to make AI agents useful, reliable, secure, and scalable, connected to Rovo, Teamwork Graph, and Jira agent workflows, helping teams create agentic experiences that reason over work context and orchestrate across tools while ensuring security and evaluation systems. This role exists because Atlassian is investing heavily in AI-native and agentic experiences, requiring a leader who can translate broad AI strategy into practical platform capabilities and provide direction, talent, and execution rhythm across fast-moving AI platform work with both ML and systems depth. Key responsibilities include setting technical direction with stakeholders, leading and developing a team (hiring, performance, career development), writing production code, guiding decisions on ML systems and observability, establishing operating cadence, balancing speed with quality, security, privacy, and cost efficiency, and partnering across Rovo and product/platform teams to align roadmaps while fostering an inclusive, high-accountability culture.

The Head of Detection & Response (DnR) is a senior security engineering leader responsible for Atlassian’s global incident detection, response, threat intelligence, and security operations programs, driving strategy, execution, and measurable outcomes to prevent, detect, and respond to threats at scale while building customer trust. Atlassian supports flexible work arrangements and hires in any country where it has a legal entity, enabling employees to work from office, home, or a mix. Strategy and Leadership: Own the global detection and response strategy, roadmap, and investment plan, tying security outcomes to business risk and customer trust metrics, leading a multi-layer, time-zone spanning organization, and establishing governance with OKRs, SLOs, and executive dashboards. Detection Engineering, Incident Response and Operations, Threat Intelligence and Hunting: scale cloud-native detections across identity, data, endpoints, CI/CD, containers, and SaaS; reduce false positives; operate 24x7 IR with automation, playbooks, and blameless post-incident reviews. Platform, Data, and AI Enablement and Risk, Compliance, and Partnering: collaborate with Trust Engineering to evolve the security data platform with privacy-preserving telemetry and lineage; use ML/LLM-assisted detections and triage with human-in-the-loop controls; align with Product Security and Governance teams while representing DnR in executive forums, customer escalations, and audits.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity. The role sits on the Spark Growth team, focused on scalable experimentation for top-of-funnel customer acquisition and building AEO/SEO features that help millions discover Atlassian products. You will lead and develop a team of engineers, build a high-performing, inclusive culture, partner with Talent Acquisition to hire diverse talent, monitor team health, and own the delivery of multiple top-of-funnel workstreams with measurable value. You will provide technical direction, establish AEO methodologies, champion engineering excellence (design reviews, testing, CI/CD, documentation, and AI usage), and guide architecture for scalability, modularity, and resilience. Requirements include 5+ years of experience managing software engineering teams, a CS degree or equivalent, a strong background in distributed systems/cloud infrastructure, experience with applied AI/ML, and proven ability to collaborate with product managers, TPMs, and designers.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control to support family and personal goals. The role presents a rare opportunity to shape how Atlassian’s brands are structured, positioned, and experienced across the portfolio, including new brand positioning, portfolio unification, AI brand system evolution, and running the Brand Intelligence Engine. You’ll have a high-impact, high-ownership role, working directly with leaders in Marketing, Product, Design, and Research to contribute to brand architecture and ensure cohesive customer experiences across journeys. Must-haves include 8+ years of deep brand strategy, experience building brands inside a product-led company or multi-brand B2B SaaS, expertise in brand intelligence/AI-assisted research, the ability to influence senior technical stakeholders, and note that this is a brand strategist role focused on turning strategy into action, not brand/content marketing. The team treats the brand as a shared asset, partners early with product, design, and marketing, and aims for a single coherent brand point of view across all channels, environments, and product experiences.

Atlassian supports flexible work arrangements—office, remote, or a mix—and hires in any country where it has a legal entity to help staff balance family, personal goals, and priorities. The company is seeking a Product Manager with a passion for AI-powered conversational experiences to lead Rovo Chat, its AI-driven interface that helps teams discover knowledge and work smarter. The role sits in the Central AI team and involves shaping the strategic vision and roadmap for Rovo Chat, prioritizing opportunities to grow adoption and user engagement (MAU) in line with Atlassian's AI strategy. You will drive the creation of intelligent chat experiences that connect users to knowledge across first-party sources (Jira, Confluence, Bitbucket) and third-party tools (Google Drive, Slack, GitHub, Salesforce, etc.), advancing multi-turn conversation quality, context awareness, memory, and proactive assistance; and partner with engineering, design, data science, GTM, and enterprise teams to deliver features from ideation through launch, with rigorous program management. You will define success metrics for chat quality and adoption, and champion responsible AI practices to ensure safe, transparent, and inclusive conversational experiences.

Sentry provides application monitoring that helps developers fix errors and performance issues before users notice, trusted by over 200,000 organizations, and is building an AI-native future. The Billing team marries product, finance, and infrastructure to ensure every observable event—errors, logs, traces, tokens—is accurately measured, priced, and billed, and the Engineering Manager will lead engineers responsible for checkout, invoicing, and helping customers manage spend growth. The role involves strategic planning and roadmapping, technical guidance on complex distributed systems, cross-functional collaboration, and building a culture of technical excellence and mentorship, with effective communication to leadership and external stakeholders. Ideal candidates are product- and platform-minded, enjoy distributed systems problems, collaborate with Product and Design, own outcomes with a 6–12 month horizon, and can scope, allocate resources, and deliver features end-to-end. Qualifications include 5+ years of engineering experience (preferably Python, JavaScript/TypeScript, or similar), 2+ years of engineering management, a salary range of $240k–$450k with benefits, and a commitment to equal opportunity and Sentry’s open-source mission and accommodations policy.

Atlassian offers flexible work arrangements (office, home, or a mix) and hires globally wherever there is a legal entity, enabling Atlassians to balance family, personal goals, and priorities. The Senior Manager will build and mature the Government Cloud platform release components, lead a 10–15 person engineering team, own go/no-go decisions, and be in the room for hard launch calls with hands-on leadership. Responsibilities include owning the release process for Government releases (planning, branch/versioning, readiness, cutover, verification, rollback) and managing the release calendar and dependencies, making trade-offs when timelines, quality signals, and commitments collide. They will drive a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling. The role requires collaboration across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, conducting blameless post-release reviews and ensuring releases are compliant and auditable (SOC 2, ISO 27001, FedRAMP, PCI, SOX as applicable) without turning delivery into excessive paperwork.

The Hunter AE at Zendesk creates and closes durable net-new business through disciplined prospecting, consultative discovery, evidence-based value cases, executive selling, and a clean handoff to the post-sale team, and the role does not own installed-base expansion or post-sale outcomes. You’ll build and maintain qualified net-new pipeline to meet quota, lead a repeatable prospecting-to-close process, translate customer priorities into Zendesk’s platform and AI value, align with executives and multiple stakeholders, and orchestrate cross-functional teams while keeping CRM data accurate. Day one expectations include genuine new-business orientation, targeted discovery and multi-threaded selling to diverse stakeholders, strong commercial acumen for ROI narratives and deal economics, and strong CRM/forecast discipline, with deeper Zendesk platform and AI fluency developable over time. The role differentiates by shaping the customer’s problem, creating demand, and closing large, complex net-new deals with executive access and solid business-case construction; the US OTE ranges from $230,000 to $344,000 with a 50/50 base/commission mix, with potential bonuses or benefits depending on location and capabilities. Zendesk emphasizes an inclusive, hybrid-work culture, notes AI may be used to screen applicants, and is an AA/EEO/Veterans/Disabled employer that provides accommodations for applicants with disabilities.

Zendesk is hiring a Product Marketing Manager to drive the Employee Service business, defining go-to-market strategies and collaborating with product, marketing, and sales leadership. The role requires deep understanding of the ESM/ITSM market, crafting compelling messaging, leading cross-functional initiatives, developing launch assets, enabling GTM teams, and supporting deals as a subject-matter expert. Requirements include 10+ years in B2B SaaS product marketing, direct ITSM/ESM experience, exceptional storytelling, strong analytics, comfort with AI tools, executive presence, and the ability to work independently in a startup-like environment. The US base salary range is $153,000 to $229,000, with potential bonus or incentives, and final offers depend on capabilities and location. Zendesk emphasizes an inclusive culture with a hybrid work model, AI screening guidelines, equal opportunity, and accommodations for applicants with disabilities.

Sentry helps developers fix errors and performance issues, is trusted by 200,000+ organizations, and is building an AI-native future. The Streaming Platform team is creating the next generation of infrastructure for ingestion pipelines and real-time data processing, handling hundreds of thousands of events per second with low latency and high reliability. The role involves designing, building, and operating components of the Streaming Platform (Kafka, the streaming runtime, APIs, and developer-facing abstractions), implementing resilient, high-throughput stream processing with delivery guarantees, checkpointing, and watermarking, and building automation for Kafka fleet management and improved observability. Qualifications include 2-3 years of software engineering in distributed systems or real-time streaming, proficiency in Python, Rust, Go, or Java, experience with Kubernetes/AWS/GCP, with Kafka/Flink/Spark as nice-to-have; the base salary range is $155,000 to $190,000, with benefits, and the role is based in San Francisco with three days per week in the office. Sentry emphasizes equal opportunity and inclusion, is open-source, offers accommodations for disabilities, and provides an Applicant Privacy Policy.

Sentry is a fast-growing, open-source application monitoring company trusted by 200,000+ organizations and is building an AI-native future. The Developer Infrastructure team builds the systems engineers use to develop, test, and ship software, including local and cloud development environments, CI/CD across codebases, tooling for creating services, and SDK/library publishing. The role focuses on shortening CI feedback cycles, improving deployment reliability, detecting flaky tests, making development environments easier to use, and supporting AI coding agents with the context and access they need, owning projects from design through rollout. The position is based in San Francisco with three days per week in the office, and you will partner with Platform and Product Engineering to prioritize improvements and measure results. Qualifications include 5+ years of software engineering or equivalent, strong Python, experience with CI/CD, Docker, AWS/GCP, Kubernetes, infrastructure as code, and cross-team collaboration; salary range is $190,000–$400,000 plus benefits, with equal opportunity and accommodation commitments.

Atlassian offers flexible work options and global hiring, with its Trusted Data Platform (TDP) providing secure data storage and TDP SQL as a managed relational database platform used by product and platform teams. The company seeks a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product and program leaders, infrastructure, security, and product organizations to make TDP SQL a dependable, easy-to-adopt internal platform. Key responsibilities include leading and developing engineers and managers, building an inclusive, high-performing team, managing capacity and technical debt, and establishing operating practices for predictable execution and continuous improvement. The role requires defining and executing the TDP SQL strategy and roadmap, translating enterprise and product requirements into measurable outcomes, surfacing delivery risks early, increasing platform adoption, and owning reliability, security, data residency, backup/recovery, disaster recovery, and compliance. It also involves architectural leadership across multiple clouds, balancing near-term delivery with platform simplification, managing cross-functional dependencies and costs, and making investment decisions that prioritize customer trust, platform value, and sustainable cost efficiency.

This role is Principal Data Scientist on the Global Experiences Data Science team at Atlassian, reporting to the Manager of Global Experiences Data Science, focused on shaping how millions of users experience Atlassian’s products. You’ll lead the full data science lifecycle—from defining questions and building robust models to influencing product strategy and communicating insights to senior leaders—acting as a force multiplier by partnering with Product, Engineering, and Design. You’ll define and drive the data science strategy for your product area, translate ambiguous business problems into rigorous analytical frameworks, and lead end-to-end development of ML models and analyses, including data acquisition, experimentation, deployment, and ongoing evaluation. You’ll own experimentation infrastructure and methodology (A/B test design, power analysis, interpretation at scale), identify high-impact opportunities through exploratory analysis, and serve as the technical authority for data science while mentoring others and contributing to hiring. You’ll communicate findings to senior stakeholders and executives, collaborate to define metrics frameworks (north star and guardrail metrics), and drive best practices in feature engineering, model monitoring, and responsible AI across teams.

- Atlassian offers flexible work locations (office, home, or hybrid), hires globally where it has a legal entity, and conducts interviews and onboarding virtually as part of a distributed-first approach. - The Investor Relations team sits at the heart of Atlassian’s long-term strategy, shaping the external narrative to connect investors, employees, and customers with the company mission. - The Director of Investor Relations will be a senior IR leader and key partner to the Head of Investor Relations, leading day-to-day IR execution, representing Atlassian with the investment community, and translating complex financials and product strategies into compelling external narratives. - Responsibilities include driving strategic external messaging, owning the quarterly earnings cycle and disclosures, advising executives, and managing investor and analyst engagement and flagship IR events. - The role also entails monitoring market sentiment, turning feedback into actionable recommendations for the C-suite, and leading cross-functional collaboration across Finance, Strategy, Corporate Development, Legal, Data Science, and Corporate Communications to ensure consistent messaging.

Zendesk is seeking a Bay Area–focused Commercial Account Executive to drive AI-powered customer experience solutions, grow the commercial base, and help organizations modernize CX at scale. The role covers full-cycle sales from prospecting to close, nurturing relationships for retention, expanding footprint through cross-sell/upsell, leveraging data and AI adoption to deliver measurable ROI, and maintaining a healthy pipeline with executive-level stakeholder engagement. Required qualifications include a BA/BS or equivalent, 3+ years in B2B SaaS/AI sales with a track record of hitting targets, experience navigating complex sales and renewals, ability to sell to VP/C-level executives, and familiarity with Salesforce, Outreach, and Clari, plus willingness to travel across the Bay Area. Compensation features an on-target earnings range of $230k–$344k (50/50 base/commission), with potential bonuses, and a hybrid work model requiring some in-office time. Zendesk emphasizes equal opportunity and inclusivity, notes that AI screening may be used in hiring, and provides accommodations for applicants with disabilities, supporting a flexible hybrid approach across its global offices.

Atlassian can hire people in any country where they have a legal entity, and roles can be remote or in an office based on time zone overlap, with interviews and onboarding conducted virtually as part of their distributed-first approach. The Atlassian Advisory Services team is globally distributed and consists of experts who work with large strategic and enterprise customers to tackle complex business challenges and maximize the value of their Atlassian investments. They are hiring a Senior Solution Consultant with a Cloud Platform and AI focus to join the Advisory Services Delivery team as an individual contributor, not a manager, delivering strategic technical guidance to drive value realization for clients. Primary responsibilities include collaborating to align on strategic outcomes, solving business challenges with Atlassian products and practices, identifying opportunities for service and product expansion, building deep industry and solution expertise, creating technical content and prescriptive guidance, and advocating for customer needs across internal teams. Travel up to 30% domestically and, in some cases, internationally for internal and customer-facing events, with the aim of impacting millions of users by turning ideas into action and expanding the reach of Atlassian technologies.

- Atlassian offers flexible work options (office, home, or hybrid) and hires internationally wherever they have a legal entity. - Loom is Atlassian’s async video product that enables quick video updates and integrates with Confluence, with AI-powered transcripts and summaries via Rovo. - Loom is expanding how async video helps people and AI agents collaborate, with millions already using it across time zones. - Joining the Loom Analytics team means shaping product direction at the intersection of product strategy, customer insight, and experimentation, working with cross-functional partners and using quantitative analysis to develop and test strategies. - You’ll define opportunities, forecast and measure key metrics, influence roadmaps, use data to shape product development, and communicate insights broadly to leadership.

- Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, giving employees more control over family and personal goals. - The company serves over 300,000 customers worldwide—including NASA, IBM, HubSpot, Samsung, and Coca‑Cola—with a mission to unleash every team's potential through software, delivering customer impact and driving revenue growth. - Atlassian's unique value is "play as a team," fostering mutual support, shared wins, and knowledge sharing, with employees working with Atlassian rather than for it. - The sales role centers on strategic accounts, building relationships with decision-makers (including C‑level executives), identifying expansion opportunities, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions and negotiate contracts. - The company is leading responsible AI integration into cloud products and migrating customers to the cloud, while the role also involves developing named account or territory plans, forecasting, market insight, mentoring juniors, and traveling to meet clients and attend events.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country with a legal entity, helping teammates balance family, personal goals, and priorities. You’ll join the Rovo Chat Quality team within the Rovo + AI organization, focusing on turning “make Rovo better” into measurable customer value by building evaluation systems, datasets, quality signals, and production ML capabilities that reveal where Rovo succeeds or falls short. As a Senior Machine Learning Engineer, you’ll stay hands-on while setting direction across teams to advance models, agents, and evaluation, translating improvements into measurable benefits for millions of active users. Responsibilities include architecting and building production ML and evaluation systems at scale (datasets, simulations, automated judges, regression suites, experimentation platforms, online signals), advancing Rovo’s agentic capabilities (reasoning, planning, tool use, memory, long-horizon execution), and closing the loop between evaluation and product impact by shipping interventions and assessing outcomes, all while balancing quality, latency, safety, and cost. Required background includes a track record shipping large-scale ML/AI systems with measurable customer impact, deep experience with LLM-powered products and agentic systems, strong production engineering skills, technical leadership, and excellent product/technical judgment and communication.

Sentry helps developers fix errors and performance issues faster, trusted by 200,000+ organizations and pursuing an AI-native future. The Infrastructure Engineering team builds the internal control platforms, configuration systems, traffic routing, and automation that let product engineers operate services safely at scale. The Engineering Manager for Infrastructure Engineering will lead a team responsible for internal admin and change management tools, configuration automation, and the routing layer, owning technical vision, reliability, and cross-team coordination. The role requires nurturing engineers, fostering an inclusive, high-performing culture, and partnering with Production Engineering, SRE, and Developer Infrastructure to keep tooling consistent as the company grows. Qualifications include 10+ years of software engineering, 4+ years of management experience, experience leading architecture of internal control platforms, strong Python skills, familiarity with Kubernetes and Terraform, excellent technical communication, and a base salary of $220,000–$400,000 USD plus up to 15% annual bonus, along with benefits and equal opportunity commitments.

Sentry is a leading application monitoring company that helps developers fix issues faster and is expanding its Platform team with a Senior Staff Software Engineer to shape infrastructure, streaming, and storage across the organization. The role will set technical direction for platform initiatives, own cross-team projects from design to production, address bottlenecks and reliability risks, and stay hands-on with design, prototyping, and coding. You’ll partner with engineering and product leaders to prioritize platform investments, guide major architectural decisions, mentor senior and staff engineers, and build alignment across teams. Requirements include 12+ years of software engineering, a proven track record leading cross-team initiatives, deep cloud experience (AWS or GCP), and expertise in cloud infrastructure, streaming, and storage with strong hands-on skills. Compensation ranges from $260,000 to $400,000 base plus up to 20% annual bonus, with benefits and equal opportunity commitments, and the company’s open-source and accessibility ethos plus accommodations if needed.

DX, a fast-growing SaaS company headquartered in Salt Lake City and now part of Atlassian, helps engineering leaders build high-performing teams by collecting millions of data points daily to reveal developer productivity, with customers including Pinterest, GitHub, BNY, and Xero. Joining Atlassian will expand resources, accelerate growth and R&D, and enable greater impact for customers. DX values individual mastery and the highest level of performance, emphasizing that while outcomes depend on factors beyond control, you should strive to perform at the highest level. In this role you’ll coach a team of Strategic Account Executives to consistently hit revenue targets, operate as a player-coach on high-stakes deals, institutionalize the sales process with rigorous pipeline discipline and accurate forecasting, analyze performance to coach underperformers, drive GTM improvements from frontline feedback, and recruit and onboard top talent while fostering a culture of continuous learning. Ideal candidates are team-first, systems thinkers who lead by example, provide radical candor, thrive in ambiguity, balance data-driven decisions with the human element, and possess high emotional intelligence to navigate complex stakeholders.

- Atlassian supports flexible, distributed work with virtual interviews and hires in any country where it has a legal entity. - The Atlassian Intern Program combines hands-on training, mentorship, and exposure to innovative technologies like AI that are shaping the future of product management, aiming to launch students into impactful careers. - The internship role is in the Pacific Time Zone and requires ability to work there; it is not eligible for F1/J1 students and does not offer sponsorship. - Interns will collaborate with product, design, and engineering teams, speak with customers and partners, translate insights into actionable plans, research competitors and AI tools, and prototype solutions. - Applicants should have an interest in analyzing technology products and markets, translating insights for engineering, and applying AI, with eligibility including full-time technical degree enrollment, return-to-program after the internship, expected graduation by June 2028, and a 40-hour workweek.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies driven by data insights to uncover growth opportunities, optimize the sales process, and increase market share. Success is measured by profitability, market share, and customer delight, with a focus on delivering sustainable, monetizable advantages in the market. Atlassian is seeking a Principal Strategist to develop the GTM strategy for Public Sector, using qualitative and quantitative methods to evaluate opportunities and design initiatives that fuel P&L growth and deliver scalable value. The role requires an independent, highly capable contributor who partners with Public Sector leadership, conducts internal and market due diligence, leads cross-functional stakeholder management, and influences across all levels from frontline to C-suite to secure resources and execute the strategy.

Atlassian offers flexible work locations (office, home, or a mix) and hires globally where they have a legal entity to support family, personal goals, and priorities. As a Principal Engineer with a Deep Engineer archetype in Kubernetes Platform, you’ll own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems. You’ll define the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, and lead the architecture of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. You’ll drive end-to-end outcomes for cross-team initiatives, advance portable cloud-native execution across GCP and AWS, and champion operational excellence and improved developer experience through self-service APIs, automation, and clear platform contracts. Success is measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and broader impact across Atlassian, with mentorship and influence across geographies and product and engineering leaders.

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 Lead Product Designer to join the AI Design team and work on AI experiences across Atlassian, including the flagship Rovo product. The team is primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across Jira, Confluence, and Loom on applied AI, modeling AI-enabled design practices, and partnering with leadership and cross-functional teams to unify AI capabilities across Atlassian. The ideal candidate has 7+ years of product design experience for complex or enterprise software, experience with applied AI in products like Search, AI Chat, and Agents, and strong systems-thinking skills to integrate multiple teams and improve processes to accelerate adoption of new capabilities.

Atlassian supports flexible work arrangements—office, remote, or hybrid—with hiring in any country that has a legal entity, and interviews and onboarding conducted virtually as part of being a distributed-first company. The Digital & Agentic Success team is building systems, intelligence, and operating models to scale customer success through data, automation, and AI-driven orchestration, turning complex customer signals into proactive journeys. They are seeking an Agentic Success Portfolio Lead—a data-forward builder and operator—to lead the systems, telemetry pipelines, and AI orchestration layer powering the Digital Success OS, bridging data engineering, data science, AI workflows, and customer journey orchestration to support at-scale digital, agentic, and human interventions. Responsibilities include building the Digital Success OS with data flows and journey orchestration, turning telemetry and signals into plays and handoffs, closing ownership gaps, and maintaining governance to protect delivery momentum. You will own data foundation and pipelines, analytics and modeling, AI-agent signal design, journey orchestration, digital-to-human handoffs, and measurement/experimentation to demonstrate impact on adoption, engagement, and agent effectiveness.

Atlassian supports flexible work locations and hires in any country where it has a legal entity, with Jira at the core of its System of Work evolving into an intelligent partner for modern work. The Jira Design team is seeking a Principal Product Designer to lead visionary work across Jira, reporting to a Senior Design Manager and coordinating across teams in Australia and North America. The role involves conceptualizing and delivering industry-leading experiences, mentoring the design team, guiding strategy, and owning end-to-end product experiences from strategy to UI. Daily responsibilities include designing end-to-end AI-enabled Jira workflows, modernizing the design language across Jira, Rovo, and 1P/3P agentic workflows, and partnering to define a unified vision and measurable impact for customer value and business goals. Requirements include 9+ years of end-to-end product design, strong visual/UX craft and prototyping, experience shaping AI-native processes and agent integrations, leadership on ambiguous problems, storytelling, user research, and robust cross-functional leadership and stakeholder engagement.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. Jira sits at the heart of Atlassian’s System of Work, evolving from a work-management tool into an intelligent partner powered by Teamwork Graph, Rovo, and agent tooling. The Jira Design team is looking for a Lead Product Designer who will report to a Senior Design Manager and lead strategic work across Jira with a multinational team in Australia and North America. In this role you’ll design end-to-end experiences, modernize Jira’s design language, drive AI-enabled workflows, define success metrics, and collaborate with engineers, product managers, researchers, and other teams to deliver cohesive product experiences. Candidates should have 7+ years of product design experience, strong craft, AI-native design experience, end-to-end UX skills, customer research, storytelling, stakeholder management, and the ability to drive impact across multiple teams and programs.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. - They’re seeking a Lead Product Designer to join the Growth Platform team to evolve Atlassian’s website into cohesive, AI-first end-to-end customer journeys. - The role involves setting strategy and leading design across modernization, user engagement, journey-led architecture, AI-powered experiences, and cross-functional collaboration to boost engagement and long-term value. - Candidates should have 10+ years of product design experience, exceptional craft, AI-first prototyping, journey-driven systems thinking, strategic vision, data-informed decision-making, and collaborative leadership. - Experience with high-traffic marketing sites, growth/experimentation, and operating across organizational boundaries is preferred.

Sentry helps developers fix errors and performance issues before users notice, and is trusted by 200,000+ organizations as today’s application monitoring standard while building an AI-native future. The role is Manager, Design Engineering for Scraps, leading a team of designers and front-end engineers building the infrastructure that powers UI development, at the intersection of design, engineering, and AI tooling. You will manage and grow the team, own the strategic roadmap, help maintain UI quality, keep design tokens and component parity in sync from Figma to production, stay hands-on building components and infrastructure, and drive adoption through documentation and contribution workflows. Qualifications include 3+ years in a full-time design system or design engineering team, 2+ years of people management, strong visual and interaction design, deep fluency in React, TypeScript, CSS, and the DOM, familiarity with Figma design systems tooling, and a base salary range of $200,000–$270,000 with benefits. Sentry is an open-source company committed to equal opportunity, inclusive culture, accommodations for disabilities, and an Applicant Privacy Policy.

Atlassians can choose where to work—office, home, or a mix—and interviews and onboarding are conducted virtually as part of a distributed-first approach, with hiring open in any country where Atlassian has a legal entity. The Senior ML System Engineer role sits in the Rovo GenAI Platform team and involves building and maintaining the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines and power Atlassian’s GenAI products. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. There is an opportunity to lead other engineers on involved projects 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, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Confluence Cloud AI team builds and deploys ML solutions that drive revenue, grow the active user base, and provide forecasting for top-line metrics, handling the full ML lifecycle from problem definition to deployment and ongoing improvement. The Senior ML Engineer will focus on advanced ML algorithms and forecasting models, collaborating with Growth, GTM, Product, Finance, Sales, and engineers to deliver high-impact results. Responsibilities include end-to-end lifecycle management, data preparation, modeling, experimentation, evaluation, deployment, iteration, and designing scalable, production-ready architectures and infrastructure. The role also emphasizes clear communication to technical and non-technical audiences, mentorship of junior engineers, and balancing high-quality output with rapid iteration and measurable business outcomes.

Atlassian offers flexible work locations and hires globally where they have a legal entity, aiming to unleash the potential of every team. Central to this mission is the Teamwork Graph (TWG), a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities, with the belief that personal working environment context is the next AI-powered frontier. The company is seeking a Principal Machine Learning Engineer (P60) to lead and design knowledge graph projects that build this personal context layer and scale it through Rovo Chat and the Teamwork Graph CLI. You’ll build Personal Work Context Graphs, design inference pipelines, schemas, permissions, and evaluation frameworks; integrate this context into Rovo Chat to improve relevance, groundedness, and efficiency; and develop context-selection strategies with the Rovo Chat team. You’ll deliver context through low-latency, permission-safe APIs and CLI, enable MCP-compatible agents to query a user’s work environment in real time, and provide technical leadership across Knowledge AI, Teamwork Graph, and product teams while mentoring engineers with a focus on privacy-safe AI and data quality.

Sentry helps developers fix errors and performance issues quickly and is building an AI-native future, trusted by 200,000+ organizations. The Security Team secures customers, code, and everything in between, operating with high trust and autonomy to tackle hard security problems in a cross-functional, developer-focused culture. In this role you will maintain and own detection engineering systems, perform investigations and incident response, contribute to IAM, and research emerging threats across appsec, infra, governance, and privacy. Requirements include 2-5 years in detection/response or security engineering, a CS degree or equivalent, hands-on experience with alert triage, detection tuning, IAM, Python, and distributed cloud tech (AWS/GCP/Azure, Kubernetes, etc.), plus strong written and verbal communication; the company encourages applicants even if not all qualifications are met. Compensation ranges from $150,000 to $200,000 base, with benefits and equal opportunity; Sentry emphasizes diversity, accessibility, accommodations, and provides an applicant privacy policy.

Sentry is a software monitoring company trusted by over 200,000 organizations that helps developers fix errors and performance issues quickly while building an AI-native future. The Developer Experience team is hiring in San Francisco for a hybrid role based at HQ, seeking a hands-on builder with strong opinions on developer docs and a love for tinkering with new features. The role involves creating content, hosting and attending developer events, gathering user insights, and collaborating across Engineering, Product, Design, Sales Engineering, Marketing, and other teams to craft compelling product narratives and improve onboarding. Qualifications include 5+ years as a developer, 3+ years in advocacy or educational roles, multiple examples of technical educational content, active community involvement, and strong written and verbal communication, with a base salary range of $200,000–$240,000 plus standard benefits. Sentry emphasizes equal opportunity, diversity, and open-source values, offers accommodations for disabilities, and provides an applicant privacy policy to handle data.

Sentry helps developers fix errors and performance issues at scale and is trusted by 200,000+ organizations as the standard for application monitoring, with a focus on building an AI-native future. As a Staff Software Engineer on the Issues team, you’ll architect the systems powering the issue workflow, building real-time data pipelines, search backends, and analysis systems that surface signal from noise at billions of events daily. You’ll drive technical strategy and roadmap, shape architectural direction with product and design, solve performance challenges, ensure scalable foundations, and mentor others while delivering features that delight developers. Qualifications include 10+ years in full-stack software engineering (Python and TypeScript), expertise in distributed systems and data stores, and familiarity with PostgreSQL, ClickHouse, and Kafka is preferred. Sentry is an equal opportunity employer that values diversity and inclusion, provides accommodations for disabilities, and outlines data handling in its Applicant Privacy Policy.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. It is seeking a strategic, highly analytical Finance professional to own financial planning and management for AI infrastructure and token finance, responsible for forecasting, budgeting, and modeling for the Central AI team, in partnership with Engineering, Product, BizOps, and other Finance leadership. The role requires developing a deep understanding of AI economics—adoption, usage, token consumption, model mix, vendor pricing, and efficiency levers—and translating these into COGS, unit economics, and gross margin implications, along with scenario modeling and strategic ad hoc analyses. You will proactively drive process improvements, scale current financial models, data and tooling (in partnership with Cloud Finops) and related systems and processes; and you should be comfortable operating in ambiguity and delivering timely directional insights. The ideal candidate will have 10+ years of experience in complex financial modeling, driver-based forecasting, and long-range planning; experience with software and cloud infrastructure economics; knowledge of LLM/token economics or comparable consumption-based models; strong analytical judgment; excellent executive communication; a high say/do ratio; attention to detail; and the ability to thrive in a fast-paced environment where priorities can shift.

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.

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 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, 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.

- 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 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.

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.

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.

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 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.

Zendesk is seeking a Senior Sales Engineer who operates at the intersection of enterprise software strategy, hands-on architecture, and AI automation, acting as a strategic advisor to both the C-suite and engineering leadership. Responsibilities include designing and operationalizing agentic AI workflows, leading deep technical discovery and AI readiness assessments, building scalable accelerators and API components for global deployment, owning the technical sales lifecycle, and aligning product strategy with field feedback. Required qualifications include a BS in a quantitative field, 5+ years in technical presales/solution engineering or system architecture roles, fluency with modern web/scripting tech and cloud architectures, AI/ML knowledge (LLMs, prompt engineering, RAG), enterprise infrastructure/domain knowledge, 30–50% travel, and a Master’s or professional certifications being a plus. The US OTE range is $226k–$338k with an 80/20 base/commission split, with potential bonuses, and a hybrid work model requiring some in-office time as determined by the hiring manager. Zendesk emphasizes customer obsession, collaboration, and inclusion, notes that AI or automated decision systems may screen applicants, and remains an AA/EEO/Veterans/Disabled employer that provides accommodations for applicants with disabilities.

Sentry, a fast-growing AI-native application monitoring company trusted by 200,000+ organizations, seeks a Director of FP&A to lead core planning and act as a senior business partner to leaders. The role owns company-wide forecasting and long-range planning, annual budgeting, headcount planning, and board/executive reporting, with close collaboration to Accounting on the monthly/quarterly close. It is a hands-on, leadership position focused on redesigning FP&A processes, building systems and data infrastructure, and overseeing cost management of cloud, AI infrastructure, and vendor spend. You’ll establish a repeatable operating cadence, work cross-functionally with Finance, Accounting, People, Engineering, and others, and manage an FP&A Manager reporting to the VP of Finance & Strategy. Qualifications include 8+ years of FP&A experience with end-to-end planning, experience rebuilding FP&A functions, proficiency with NetSuite, Looker, and planning/EPM tools, strong exec-facing materials, and MBA/CPA is a plus but not required; the company emphasizes equal opportunity and accommodations.

Atlassian offers flexible work options—office, from home, or a combination—and hires in any country where it has a legal entity. The company is looking for an experienced analyst relations practitioner with a deep understanding of the industry analyst landscape and strong relationships with DevOps and AI influencer analysts to drive its AI Software Delivery solutions program. In this role you will build and maintain trusted relationships with analysts at Gartner, Forrester, IDC and other firms, serving as the primary point of contact for inquiries and briefings, and coordinate cross-functional responses to RFIs and research cycles to drive favorable evaluations. You will translate analyst insights into competitive analyses and data-based recommendations for product and marketing, advise teams on leveraging analyst research in campaigns and market strategy, and explore new analyst relationships and engagement formats while driving AI-powered workflows to increase program efficiency. Qualifications include 3-5 years of Analyst Relations experience with a SaaS provider, an understanding of the industry analyst landscape and software engineering and developer-focused analysts, and a proven ability to drive a strategic Analyst Relations program with cross-functional partners.

Atlassian is seeking an experienced commercial counsel to join its Commercial Legal team to support enterprise transformations and close critical deals with enterprise customers in the Central/West U.S., Canada, and LATAM, in close partnership with Sales. The role will involve negotiating enterprise cloud agreements, guiding customer requests, and driving deals to execution while developing training materials for Sales on contract terms and other legal issues. It also includes leading special projects to scale the Legal and Sales functions and bringing a legal perspective to cross-functional quote-to-cash initiatives, collaborating with Privacy, Trust, Finance, and Product teams. The candidate should be autonomous, collaborative, risk-aware, able to manage multiple priorities under tight deadlines, and capable of navigating Atlassian's decentralized, global organization with empathy for customers. They should have a strong understanding of software, cloud services, generative AI, and technology trends, think creatively to propose solutions, and Atlassian offers flexible work arrangements and hires anywhere with a legal entity.

Sentry is an application monitoring company trusted by over 200,000 organizations, focused on helping teams fix errors and performance issues quickly while building an AI-native future. They seek a Technical Enablement Director to drive platform adoption through education and enablement, responsible for strategy, planning, and end-to-end execution of training for employees, customers, and partners. The role includes becoming a Sentry product expert, owning Sentry University, designing curricula, creating content, developing training strategies, building a certification program, and delivering instructor-led training both virtually and in-person. It requires strong SDLC knowledge, 5+ years in technical training, a CS/CE-related degree or equivalent, excellent communication, and proven ability to work with customers/partners and measure training impact via KPIs. Sentry emphasizes equal opportunity, diversity and inclusivity, open-source values, and provides accommodations for disabilities, with details in their privacy and accommodation policies.

Sentry is an application monitoring company trusted by 200,000+ organizations, helping developers fix errors and performance issues quickly while pursuing an AI-native future. The FP&A Manager role in Finance focuses on building best-in-class FinOps practices, partnering across the business on forecasting and financial analysis with emphasis on cloud infrastructure, AI costs, vendor spend, and other cost areas. Responsibilities include owning forecasting, reporting, and financial analysis for major cost categories, translating engineering consumption into forecasts, modeling the financial impact of cloud commitments and vendor agreements, and building a scalable expense-management process in collaboration with Engineering and leadership. Qualifications include 5+ years in FP&A or related roles, experience with budgets and variance analyses, familiarity with cloud infrastructure costs and BI tools, plus knowledge of FinOps concepts; strong communication and the ability to turn analysis into action are essential, and applicants who don’t meet every qualification are encouraged to apply. Sentry is an equal opportunity employer committed to diversity and inclusion, offers accommodations for applicants with disabilities, and provides details about applicant privacy; they emphasize an open-source, accessible software culture.

Zendesk is seeking an Enterprise Account Executive for the Bay Area to grow enterprise customers by selling AI-driven CX and automation solutions and expanding Zendesk’s footprint in strategic accounts. You’ll drive revenue by acquiring new enterprise customers in the region, creating quarterly territory plans, expanding AI adoption, managing multi-month, value-focused deals, and building trusted executive relationships across cross-functional teams. Requirements include 8+ years in cloud/software B2B sales or solution engineering with a proven record of enterprise deal success, ability to navigate long sales cycles and executive stakeholders, and familiarity with tools like Salesforce, Outreach, Clari, Seismic, and Looker, plus willingness to travel within the Bay Area. Compensation features an annualized OTE of $340,000–$510,000 with a 50/50 base/commission split, potential bonuses, and a hybrid work model with some in-office time. Zendesk highlights AI-powered CX, a commitment to diversity and inclusion, equal opportunity employment, accommodations for disabilities, and notes that AI screening may be used in the hiring process.

Sentry is expanding its Technical Customer Success team to support a growing customer base and drive deeper adoption of the Sentry Platform worldwide. As a Technical Customer Success Manager, you’ll be a product expert responsible for onboarding customers, helping them realize maximum value from the platform, and uncovering new growth opportunities through additional use cases and products. The role requires strong technical expertise and a solid understanding of the Software Development Life Cycle, and involves close collaboration with Account Executives, Sales Engineers, and Engineering teams to meet both technical and business goals. You will become a trusted strategic advisor, drive onboarding, adoption, value realization, retention, define objectives with stakeholders, and partner with sales to identify expansions while advocating for customers internally. Qualifications include 5+ years in customer-facing roles, a strong technical background in DevOps/monitoring/cloud-native platforms, a CS-related degree or equivalent, cross-functional experience, executive presence, and bonus qualifications like prior developer/DevOps experience and application monitoring knowledge.

Zendesk is seeking an Enterprise Account Executive for the Bay Area to grow its enterprise footprint by selling AI-driven customer experience solutions and building trusted executive relationships with leading technology accounts. You will drive top-line revenue, identify expansion opportunities through cross-selling and upselling, manage multi-stakeholder sales cycles with proofs of concept and AI-enabled designs, and maintain a robust pipeline and accurate forecasts. Responsibilities include creating quarterly territory and account plans, aligning Zendesk’s AI/CX platform to customers’ business transformation goals, collaborating with Customer Success, Solutions Engineering, and Product teams, and negotiating high-value deals with measurable ROI. Requirements include 8+ years in cloud/software B2B sales or solution engineering, a track record selling to enterprise organizations ($1B+ in revenue), success hitting quota, and experience engaging VP/C-level executives; familiarity with Salesforce, Outreach, Clari, Seismic, and Looker; a BA/BS; and willingness to travel across the Bay Area. The position offers a US OTE of $340k–$510k (50/50 base/commission), a hybrid work arrangement with some in-office days, and Zendesk’s commitment to diversity, inclusion, and reasonable accommodations, with AI-based screening in the recruitment process.

Tempo is a leading provider of integrated solutions for time management, resource planning, and more, serving over 30,000 customers, including one-third of Fortune 500 companies. Founded in 2007, it has become the top time management add-on for Jira, continuously innovating to ensure improved workflows and customer experiences. The company is seeking a Go-To-Market (GTM) Engineer to develop automated revenue systems that enhance scalability and personalization for customer engagement. This role involves leveraging advanced technologies to create AI-powered tools, real-time dashboards, and event-driven workflows that support sales and improve revenue efficiency. Tempo offers a remote-first environment with various benefits, emphasizing a culture of collaboration, personal growth, and inclusivity.