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At Atlassian, employees can work office, home, or hybrid, and the company hires globally for a Sales Leader role overseeing the Teamwork Collection value proposition, focusing on enterprise sales with Loom, Rovo, Jira, and Confluence. The role collaborates with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales processes, drive value propositions, and elevate customer satisfaction. Key duties include leading and managing a team of Teamwork Collection Specialists to meet sales targets in the Enterprise and Strategic segments, developing strategic plans to grow market share, mentoring the team, and recruiting/onboarding new members as needed. Additional responsibilities involve analyzing sales data and market trends, conducting performance evaluations, maintaining relationships with peer leaders, and providing regular updates to senior management. The position requires staying informed about industry trends and market dynamics, with a working knowledge of organizational teamwork workflows and ideally expertise in Software Delivery and the emerging role of AI in the Enterprise and Strategic segments.

Atlassian is seeking a remote Customer Success Manager with Spanish fluency to help customers realize value from Atlassian investments by aligning on strategic goals and delivering scalable methodologies for product adoption, solution expansion, and long-term growth across the Americas. The role involves building trusted advisor relationships with stakeholders from C-Suite to global teams, guiding complex customers, and delivering value through proactive, programmatic engagement and best practices. You’ll leverage solution expertise across multiple products and collaborate with the account team (AE, solution partners, and others) to develop Customer Success Plans, including regular check-ins, EBRs, and strategic planning sessions. You’ll manage post-sales activities, maintain knowledge of products, identify and mitigate churn risks in partnership with the Account Associate, and drive early and sustained product adoption. Fluency in English and Spanish is essential to serve customers in Spanish-speaking LATAM and the United States and to act as the Voice of the Customer for internal feedback.

Atlassians can choose where they work—office, home, or a mix—and Atlassian hires in any country where it has a legal entity, giving employees flexibility to support family, personal goals, and other priorities. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver innovative, AI-powered solutions and partnering with top organizations to solve real-world problems. You’ll collaborate with product, engineering, and design to rapidly grow your technical and domain expertise while making a tangible impact on business outcomes in a high-visibility, fast-paced environment that shapes the future of AI-powered teamwork. Your responsibilities include leading the design, development, and deployment of AI/ML solutions, architecting robust integrations using Python or JavaScript, driving data-driven insights, and championing AI-augmented workflow automation to maximize value. You’ll oversee end-to-end production deployment, navigate AI risk and data privacy (GDPR) and regulatory compliance, mentor junior engineers, and communicate complex technical concepts clearly to technical and non-technical stakeholders, aligning solutions with business objectives and measurable results.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. - They’re seeking a Solutions Engineer to grow the ITSM Specialist team in the US, working with enterprise sales and channel partners to understand customer needs and close large enterprise deals. - The role involves strategizing sales cycles, delivering value-based demonstrations, supporting proofs of concept, and maintaining a customer-obsessed, high-performing mindset. - The team serves over 250,000 customers, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and emphasizes value selling and a culture of teamwork where employees work with Atlassian, not for Atlassian. - Responsibilities include specializing in Atlassian ITSM offerings, collaborating cross-functionally to drive the customer journey, mapping client requirements to Atlassian capabilities, aligning with sales management on account plans, delivering compelling presentations and POCs, and feeding customer feedback to product management.

Atlassian offers flexible work arrangements—employees can work in an office, from home, or a hybrid setup to support personal goals and family priorities. They can hire people in any country with a legal entity, and this role is fully remote but must be located in US Pacific or Mountain time zones. The company is looking for a Fullstack Software Engineer to join the team, aiming to deliver creative improvements for engineering teams. Responsibilities include building REST APIs that power core customer experiences and creating customer-facing React components. You will also configure monitoring for backend services, build CI/CD pipelines, develop integrations with their content management system, and build features with reliability in mind.

Atlassian offers flexible work locations, including office, home, or a combination, to help employees support family and personal goals. They can hire people in any country where they have a legal entity, and this role is fully remote but must be located in US Pacific or Mountain time zones. They are looking for a Back End Software Engineer to deliver creative improvements for their engineering teams. Responsibilities include building REST APIs powering core customer experiences, configuring monitoring for backend services, and building CI/CD pipelines. Additional duties involve developing integrations with their content management system and creating features and services with reliability in mind.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. They’re seeking a Solutions Engineer to grow the ITSM Specialist team in the US, working directly with enterprise sales teams and channel partners to understand customer needs. The role involves strategizing on winning sales cycles, delivering value-based demonstrations, supporting enterprise proofs of concept, and closing large enterprise deals for customer-obsessed buyers. The future team serves over 250,000 customers (including NASA, IBM, HubSpot, Samsung, and Coca‑Cola), emphasizes value selling and a collaborative “play as a team” culture, and offers high earnings potential from enterprise opportunities in cloud and AI. Key responsibilities include specializing in Atlassian’s ITSM offerings, collaborating cross-functionally to map client requirements to Atlassian capabilities, aligning with sales management on account plans, delivering compelling presentations and PoCs, and providing customer feedback to product management.

Atlassian offers flexible work options—office, home, or a mix—and hires people in any country where the company has a legal entity. 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 will own end-to-end features—from clarifying vague problem statements with product and design to shipping high-quality code and measuring impact—in a highly scalable, cross-geo environment. Responsibilities include building robust REST APIs and customer-facing UI, code reviews focused on readability, testing, documentation, reliability, and performance, plus monitoring and collaborating with product and design to refine requirements. You will participate in Agile ceremonies, write performant SQL for complex queries and data workflows, ensure end-to-end ownership, and contribute to engineering practices and tooling around data correctness, reporting, and reliability.

- 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 locations (office, home, or hybrid) and hires in any country where it has a legal entity, supported by a globally distributed Advisory Services team focused on customer success. - They’re hiring a Senior Solution Consultant with a Strategy Collection focus as an individual contributor to deliver expert Atlassian guidance and drive value realization for enterprise clients who purchase Advisory Services. - Responsibilities include collaborating with peers to define strategic outcomes, solving business challenges with Atlassian products and practices, identifying expansion opportunities, creating prescriptive guidance, and traveling up to 30% for internal and client-facing events. - Candidates should have 6-8 years in SaaS, 5+ years in customer-facing roles, deep Enterprise Agility expertise, ability to map operations to product capabilities, experience with enterprise strategy and planning tools (Strategy Collection and alternatives like Rally, RTC, ADO, VersionOne), and AI integrations (Rovo, Agentic AI, MCP), plus English fluency and ideally a second language. - Perks include ample time off and an annual education budget, with Atlassian emphasizing inclusive culture and non-discrimination, and offering resources like the Candidate Resource Hub to learn more.

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.

Atlassian supports flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement, and hires in any country where it has a legal entity. They are looking for a Principal Technical Program Manager to shape and deliver the highest-priority, most complex programs for Atlassian’s Developer Infrastructure & Productivity teams, as a senior individual contributor with department- and portfolio-level scope. The role involves bringing clarity to ambiguous problems, aligning senior leaders across functions, establishing operating mechanisms to turn strategy into measurable customer and business outcomes, and partnering with leaders across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation across multiple teams and time horizons. You will analyze objectives, customer needs, adoption inhibitors and opportunities, industry trends, and define a long-term strategy and roadmap for platform components, translating business objectives into technical systems problems and defining specific programs (capacity planning, migrations, high availability, network architecture, performance, reliability, etc.) with action plans. Minimum qualifications include 8+ years on software teams as Development Manager or TPM, strategic and technical problem-solving skills, understanding of system flows and APIs, willingness to develop domain expertise (storage, networking, authentication, capacity management, service deployments), ability to run end-to-end complex programs, and strong leadership and communication; preferred qualification is a B.S. in Software Engineering, Computer Science, or a Technical Discipline.

Atlassian allows employees to work in-office, from home, or a hybrid, and can hire in any country with a legal entity. The Principal Enterprise Security Engineer is the senior technical authority shaping corporate architecture, SaaS platforms, and workforce technologies, guiding the long-term vision and safeguards at scale. Key responsibilities include strategic leadership to define and maintain the end-to-end enterprise security architecture (endpoint, identity, network, data) and to lead architectural reviews of major initiatives, with controls and maturity assessments. They act as a technical SME, providing security guidance, influencing design and investment decisions, and enabling safe, rapid change through automation of controls and drift detection using IaC/PaC, plus CI/CD for policy/config rollouts. Collaboration is essential, partnering with security, engineering, and product leaders, serving as the architecture liaison between Corporate Security and Product Security, and mentoring security engineers across corporate domains.

Atlassian offers flexible work options, and this role is based in the United States with Pacific or Mountain time preferred to support collaboration with teams in Australia; you should expect regular travel to Sydney, San Francisco, and Seattle. The Head of Product for Jira will lead the product organization responsible for Jira’s experience, AI, and customer adoption, shaping the surfaces where humans and agents work together across work items, boards, lists, backlogs, plans, agent sessions, and the Teamwork Graph context. You’ll lead a global team of product managers across Australia, the United States, and India, report to Jira’s Head of Product, and be responsible for strategy, team building, and executing major initiatives while working closely with engineering and design and maintaining a high quality bar. The role centers on owning a multi-year product strategy for how humans and agents do work together in Jira, guiding core Jira experiences, and defining AI and agent context to turn Teamwork Graph data into better customer outcomes, plus driving agent adoption through in-product discovery, onboarding, automation, and habitual use. You’ll build and scale the product organization across three geographies, partner with Atlassian leaders in the Teamwork Collection and AI groups to resolve duplicated work and align teams around shared outcomes, and serve as the senior product voice with customers and the market to translate real-world feedback into a durable experience vision.

Sentry is hiring a Senior Technical Program Manager in San Francisco (three days per week in the office) to coordinate AI/ML platform work and cross-functional areas including AI/ML, Issues Platform, Product Design, and Ingest to deliver a cohesive product experience. The role involves connecting roadmaps, sequencing work, managing dependencies and integration risks, and shaping release readiness with a lightweight change-readiness process that includes documentation and support preparation. The ideal candidate has experience leading complex cross-team programs from problem definition through launch, with the ability to review designs, discuss architectural tradeoffs, manage dependencies, and communicate progress and decisions clearly; preferred background includes shipping AI/ML features and working with data pipelines or developer tools. Sentry emphasizes team principles like making work visible, raising risks early, reducing friction, respecting ownership, and keeping partners informed to ensure timely delivery. Compensation ranges from $150k to $240k with benefits, and Sentry provides equal opportunity and accommodations per its policies and privacy policy.

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 software monitoring company trusted by over 200,000 organizations, helping developers fix errors and performance issues faster while building an AI-native future. In this role, you’ll own AI-assisted coding within Sentry’s Platform Engineering organization, bridging teams with Developer Infrastructure as your home base and starting by making internal developer systems accessible to agents via APIs and integrating tools like Claude Code. You’ll build context and execution environments for agents, implement checks and evaluations to improve AI-generated pull requests, and automate recurring work such as dependency upgrades and minor bug fixes, while expanding workflows across issues and CI/CD. Qualifications include 10+ years of software engineering, experience building developer tooling or automation used by engineering teams, hands-on experience with AI coding tools and agents, and strong communication; prior ML experience is not required. The base salary range is $220,000 to $400,000 plus up to 15% annual bonus, with full benefits and equal opportunity, Sentry’s open-source ethos, and accommodations; the role is based in San Francisco with three days per week in the office.

Sentry helps developers fix errors and performance issues faster, is trusted by 200,000+ organizations, and is building an AI-native future. The Engineering Manager for the Events Analytics Platform (EAP) leads engineers who store, query, and analyze event data—such as errors, transactions, spans, profiles, replays, and metrics—and powers Sentry’s AI initiatives like Seer. You’ll grow a high-impact team, set technical direction, drive core EAP features, enable large-scale cross-event querying, support AI workloads, unify event data, and lead cross-functional collaboration and incident response. Qualifications include 10+ years in software engineering with 4+ years of people management, a strong background in data platforms or analytical backends (e.g., ClickHouse, Pinot, Druid), experience with distributed systems and query optimization, and Python or Rust; compensation ranges from $220k to $400k base plus up to 15% annual bonus, plus benefits. Sentry is an equal opportunity employer with a commitment to diversity and inclusion, offers accommodations for disabilities, and provides details in its applicant privacy policy.

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 offers flexible work locations (office, home, or hybrid) and hires globally in any country where it has a legal entity. The Central AI Org is dedicated to driving AI innovation across Atlassian products, building horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, and exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams, customers, and ecosystem by creating productive tools to develop, deploy, measure, and operate AI/ML models and experiences. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving, from distributed infrastructure to deep low-level optimizations like GPU kernels and quantization. Responsibilities include architecting scalable model-serving infrastructure, reducing latency and increasing throughput under production workloads, building reliable high-concurrency serving systems, benchmarking and accelerating inference engines, establishing CI/CD for model deployment, and partnering with senior engineers to fine-tune open-source LLMs for deployment.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. They are seeking a Senior Machine Learning Engineer for the Agentic Search team within Search Relevance to build systems that help people and AI agents discover enterprise knowledge and accomplish tasks. Responsibilities include delivering agentic search capabilities via APIs and protocols like the Model Context Protocol, building evaluation benchmarks, and iterating based on results to improve search behavior, tool use, and interfaces. The role requires owning projects end-to-end from problem definition to deployment, using AI tools for prototyping and learning while respecting enterprise permissions and data boundaries, and collaborating across product, search, and AI teams. Required background includes a CS degree or equivalent, 4+ years of ML experience, strong Python, experience with LLMs/IR/NLP, experimental design and evaluation, and the ability to lead ambiguous technical projects; desirable extras include experience building tool-using agents, API design, reproducible benchmarks, and cloud ML environments.

Atlassian supports flexible work arrangements and hires globally wherever they have a legal entity. The opportunity is with the Spark Growth team, focusing on high-impact experimentation to drive top-of-funnel customer acquisition and build AEO/SEO features that help millions discover Atlassian products. Leadership responsibilities include coaching engineers, fostering an inclusive and high-performing culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team health to sustain engagement and outcomes. Technical leadership tasks involve owning architectural direction, defining long-term strategy, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. The role requires 5+ years of managing software engineering teams (including 2+ years managing other managers or senior engineers), a CS-related degree, experience with distributed systems and cloud infrastructure, and familiarity with AI/ML and cross-functional collaboration with product managers, TPMs, and designers.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever there is a legal entity. - The Product Data Engineering (DE) organization is seeking a Senior Data Engineer reporting to the Senior Data Engineering Manager. - The role focuses on designing premier data architecture to drive strategic decision-making, translating operational needs into technical requirements, and leading initiatives to improve system efficiency. - Responsibilities include partnering across engineering, mentoring junior engineers, building scalable data solutions, developing ELT/ETL pipelines for large-scale and specialized datasets, designing robust data models, implementing data quality frameworks, owning the end-to-end data lifecycle, participating in on-call rotations, and enabling rapid, self-service data consumption by software teams. - The position requires collaboration with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements.

- 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.

At Atlassian, you can work from an office, from home, or a hybrid arrangement, and the company hires globally with virtual interviews as part of its distributed-first approach. This is a people-management role in the revenue operations organization, serving as Manager of the Deal Desk for the AMER Strategic Sales segment, leading a team of Deal Managers and Senior Deal Managers responsible for high-value enterprise deals. Responsibilities include guiding the end-to-end quote-to-cash process, deal shaping, quoting, pricing, terms structuring, financial analysis, contracting and booking, and providing strategic deal advisory to sales, finance, revenue, and legal while mentoring junior analysts. You will build cross-functional projects to improve deal operations, operationalize new products and pricing, and ensure client-facing documents comply with policies and regulations such as GDPR, revenue recognition, and SOX. Requirements include at least five years of experience in a B2B SaaS environment related to deal desk or revenue operations, at least two years of people management, strong Excel skills, willingness to join daily video chats, a BS/BA in a relevant field, and experience with CPQ/QTC tools and systems like Salesforce, Oracle Fusion, NetSuite, JIRA/Confluence, and Docusign, plus governance expertise for deal reviews and risk-adjusted deal flow.

Atlassian offers flexible work locations—office, from home, or a hybrid approach—and hires in any country where it has a legal entity, supporting personal priorities and family goals. The Mid-Market sales team manages a portfolio of ~30-40 accounts with 200-10,000 seats and an annual quota of $1.5-3M, aiming for net-new growth and expansion. The role leads cross-functional deal teams (SDR, SE, SSE, AM, partners), builds executive relationships across IT, business, sales, and marketing, and uses MEDDPICC to qualify and close complex opportunities focused on customer outcomes. You will collaborate with channel, marketing, product, and customer success to maximize satisfaction, negotiate and price contracts, source leads, maintain a healthy pipeline, and provide accurate forecasting. Travel is occasional for customer meetings and events, and you’ll stay current on industry trends, advocate for customers by feeding feedback to product and engineering teams, and help deploy Atlassian at scale as part of the TEAM.

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 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 in applied ML, agentic systems, platform engineering, and production-quality AI experiences, and capable of being an individual contributor or a people manager. The Agent Platform Team builds foundational, secure, and scalable capabilities that enable AI agents to reason over work context, orchestrate across tools, and deliver meaningful outcomes across Atlassian products, while ensuring security and building evaluation systems. The 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 drive architecture, evaluation, reliability, and tradeoffs with senior engineers. Key responsibilities include setting technical direction with stakeholders; leading and developing a team (hiring, performance, career growth); writing production code; guiding decisions on ML systems, context retrieval, evaluation, observability, and production operations; establishing a strong operating cadence; balancing speed with quality, trust, privacy, cost efficiency, and operational readiness; and aligning roadmaps with Rovo, product, and platform teams while fostering an inclusive, high-accountability culture.

At Atlassian, employees can work anywhere—office, home, or a blend—because the company supports flexible work and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The role involves analyzing business objectives, customer needs, adoption inhibitors, and industry trends to define a long-term strategy and multi-year roadmaps for platform and product components in close collaboration with stakeholders. It also requires analyzing architectural bottlenecks to establish long-term technical strategy for core Sales, Commerce & Finance systems, translating complex quote-to-cash models and regulatory requirements into clear technical problems and roadmaps. You will define and lead high-impact, cross-organizational programs (e.g., billing modernization, legacy migrations, high availability, SOX controls), identify product gaps, and create action plans for capacity planning, cloud services, or new product development. The role demands partnering with UX Designers, Principal Engineers, Architects, and Engineering Directors to shape experiences, API designs, and scalable platform integrations, while driving governance, metrics, risk mitigation, cross-functional alignment, and mentoring the Technical Program Management craft.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to guide customers from awareness to retention and long-term value. The role involves turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences, including cross-product recommendations and a unified ranking/orchestration system. You will design, build, and operate ML systems for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, while defining the strategy for evolving Atlassian’s ML capabilities. You’ll partner with product, engineering, data science, analytics, marketing, and sales to translate growth opportunities into measurable experiments and production capabilities, building datasets, evaluation frameworks, and running offline and online experiments with attention to attribution, latency, quality, and fairness. Requirements include 5+ years of ML experience, Python (plus Java/Typescript), SQL, Spark, cloud data environments (AWS/Databricks), experience with large-scale data, strong communication, agile mindset, and familiarity with contextual bandits, recommender systems, causal inference; preferred but not required: B2B/B2C SaaS or enterprise experience in growth-focused ML.

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 aims to unleash the potential of every team and is investing heavily in Generative AI to accelerate how teams work, discover, and create. They’re hiring a Principal Machine Learning Systems Engineer (P60) to lead the technical direction of GenAI Products & Knowledge Innovations in the US, focusing on building and scaling systems that power enterprise knowledge, rapid prototyping, and applied research. The role involves designing scalable ML systems for training, fine-tuning, and serving LLMs and embeddings, plus building efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. It emphasizes enabling rapid prototyping and applied research by partnering with applied scientists to turn ideas into production-ready pipelines and by optimizing latency, throughput, and resource use for GenAI workloads. Collaboration across ML engineers, backend developers, and product teams is required to ship end-to-end innovations and establish the team as a world-class GenAI systems hub, with flexible work options and the ability to hire in any country where Atlassian has a legal entity.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity, giving teams more control over personal priorities. The role is ML System Engineer on the AI & ML Platform’s Inference team. You will design and optimize large-scale model serving systems end-to-end, spanning distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable infrastructure for model serving, optimizing latency and throughput under real production workloads, and building high-concurrency serving systems that handle billions of requests while benchmarking, fine-tuning, and accelerating inference engines. You will create robust CI/CD pipelines for seamless model deployment and inference engine updates, and partner with senior ML engineers to fine-tune and deploy open-source LLMs.

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.

Atlassian offers flexible work options (office, from home, or hybrid) and hires people in any country where they have a legal entity. They are hiring a Technical Head of Engineering to lead work on Atlassian’s Agent Platform, blending people-management responsibilities with deep technical leadership across applied ML, agentic systems, platform engineering, and production-quality AI experiences. The Agent Platform Team builds foundational capabilities to make AI agents useful, secure, scalable, and integrates with Rovo, Teamwork Graph, Jira agent workflows, and other Atlassian products to enable agentic experiences that reason over work context and orchestrate across tools. The role exists because Atlassian is investing heavily in AI-native experiences and needs a leader who can provide direction, build talent, and translate AI strategy into practical platform capabilities with ML and systems depth beyond just people management. Key responsibilities include setting technical direction, leading and developing a team (hiring, performance, career growth), writing production code, guiding decisions across ML systems and agent workflows, establishing an operating cadence, and aligning roadmaps with other teams to balance speed with security, privacy, cost efficiency, and operational readiness.

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.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity, inviting you to shape the future of AI at scale. The role is Senior Principal, AI Product Management (IC) within the Atlassian Teamwork Collection, which combines Jira, Confluence, Loom, and Rovo into an AI-enhanced, integrated suite for cross-functional teamwork. You will own the end-to-end AI experience strategy and roadmaps, act as an AI leader, lead cross-functional teams, accelerate AI adoption, drive alignment across products, define success metrics, and champion customer feedback. You will mentor others, stay ahead of industry trends, and communicate effectively with stakeholders, including executives, to secure alignment and excitement for AI initiatives. The ideal candidate has 10+ years of product management experience with a focus on AI/ML, a proven ability to lead diverse teams, deep AI knowledge, excellent communication and UX instincts, and thrives in fast-paced environments with ambiguity.

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 options, letting employees work in an office, from home, or a mix to support their priorities. The company hires people in any country where it has a legal entity. In this role, you will regularly tackle the largest and most complex problems from technical design to launch and provide technical leadership on high-impact projects. You will routinely handle complex architecture challenges, apply architectural standards, and promote them on new projects, acting as a champion for raising the technical bar. You will collaborate across engineering teams on company-wide initiatives, share deep knowledge and best practices to improve engineering excellence, and mentor the next generation of technical leaders at Atlassian.

Atlassian supports flexible work locations (office, home, or a mix) and hires globally wherever they have a legal entity. The opportunity is a US-based Outbound Product Manager for Service Collection, tasked with turning High Touch GTM plays into a repeatable product and commercial advantage while collaborating across many functions, with a focus on Transformation & Compete and Enterprise Trust & Compliance. The role acts as a mini GM, owning the operating system for priority plays, turning field evidence into product action, and building durable, scalable mechanisms rather than one-off efforts. Required qualifications include extensive experience in B2B enterprise product-related roles, the ability to convert ambiguous problems into executable strategy, and familiarity with enterprise buying, with additional emphasis on competitive displacement or trust/compliance topics and willingness to travel. Desired attributes cover strategic yet operational thinking, evidence-led decision making, commercial and technical credibility, customer focus, low ego and high ownership, and the ability to build systems across distributed teams.

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.

Atlassian offers flexible work locations and hires in any country where it has a legal entity, with distributed work details available at go.atlassian.com/distributed. The Internship program combines hands-on technical training, mentorship, and social connections to prepare students for an impactful career, and the role is located in the Seattle or San Francisco hub, requiring you to work from one of those hubs. The position is not eligible for F1 or J1 visas and does not provide work sponsorship. Atlassian builds AI/ML products, platforms, and infrastructure across governance, compliance, recommendation/optimization, and foundational ML, collaborating with Engineering, Product, Growth, Sales, Marketing, and Security. Interns will build and evaluate applied AI/ML solutions, contribute to ML and Generative AI projects, translate business needs into well-scoped technical projects, and clearly communicate findings, trade-offs, and next steps.

Sentry is a fast-growing application monitoring company trusted by over 200,000 organizations, building an AI-native future to help developers fix errors and performance issues before users notice. The Security Team protects customers, code, and everything in between, focusing on security reviews, threat modeling, vulnerability management, and embedding secure coding practices into the engineering culture. The Security Engineer will partner with product and engineering to influence feature design from the start, mature security review programs, manage vulnerability intake and remediation, and support bug bounty and responsible disclosure. Qualifications include 2-5 years of relevant experience, a CS degree or equivalent, hands-on experience with security reviews and SDLC, programming in Python/TypeScript/Go/Rust, and familiarity with distributed cloud technologies (AWS/GCP/Azure, Kubernetes, Docker, Terraform) plus strong communication skills. The role offers a base salary of $155,000-$200,000 (plus benefits), and Sentry emphasizes equal opportunity, inclusivity, accommodations for disabilities, and a culture of openness in an open-source company.

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.

At Atlassian, employees can work from anywhere globally, and as a Senior Application Engineering Manager on the Corporate Engineering - Finance Technology team, you’ll work with Oracle Fusion Cloud and other Finance SaaS applications to modernize Finance Operations through transformations, automation, AI/ML, and related priorities. You will lead a team of application development and software engineers, drive run-the-business operations and projects from design to launch, and collaborate with internal customers to set expectations and communicate results. The role emphasizes maximizing Oracle Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), maintaining OKRs, and fostering an automation mindset using RPA and low-code/no-code tools, with exposure to AI/ML. You’ll lead integrations within a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), drive metrics-driven outcomes, and work with Internal Audit to ensure SOX compliance, while making a broad impact across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit. Qualifications include Core Finance domain expertise, Oracle Fusion Cloud and related SaaS experience, 9+ years as a hands-on senior engineering manager, automation/PaaS/BRE tools experience, some AI/ML familiarity, and strong communication skills, with the ability to operate a 24x7 highly reliable system.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees’ priorities. The company seeks a Principal Full Stack Engineer (P60) to join the Atlassian Design System within the Dev Infra organization, based in the United States. ADS helps Atlassian teams build cohesive experiences across the System of Work and operates at the intersection of full stack engineering, design systems, architecture, AI, and developer experience. The role involves building reusable frontend and backend foundations, owning end-to-end delivery, shaping architecture, enabling AI-enabled workflows, and ensuring quality, security, performance, accessibility, and maintainability. It emphasizes collaboration across teams, increasing developer velocity, providing technical leadership, raising engineering standards, and growing a high-performing engineering culture through mentoring and reviews.

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 work locations (office, home, or a hybrid) and hires in any country where they have a legal entity, serving more than 300,000 customers worldwide. The company’s mission is to unleash every team’s potential through software, guided by a culture of supporting each other and the value “play as a team,” with employees working with Atlassian, not for Atlassian. The sales role features strong earning potential and targets a vast enterprise market, focusing on building relationships with key stakeholders and collaborating with internal teams to ensure customer success. Responsibilities include developing named account or territory plans, executing strategic sales efforts, qualifying leads, presenting to decision-makers, negotiating contracts, closing deals, and providing accurate forecasting while maintaining executive relationships. Additional duties involve staying industry-aware, traveling to meet clients, building long-term sales strategies for designated accounts, and working cross-functionally with channel sales to navigate complex sales cycles and drive revenue growth.

Atlassian offers flexible work options, allowing remote or office collaboration, with hires in any country where they have a legal entity. For this internship, the role is based in the Seattle or San Francisco hub, and it is not eligible for F1/J1 visas or sponsorship. The Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful engineering career. The Security intern will join Atlassian's Security team, report to a Security Engineering Manager, and work with a mentor on a scoped project addressing a real security problem. Responsibilities include owning the project from problem understanding to building and documenting a solution, developing tools and automation, conducting security research, using AI-assisted coding tools, and collaborating with security and software engineers to present and maintain the solution.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. - They’re seeking a Lead Product Designer for the Rovo & AI team to shape AI experiences across Atlassian apps, with the team primarily based in Australia and the west coast of North America. - Responsibilities include leading the strategic vision and design for AI experiences, applying systems thinking, delivering strong visual and interaction design, leading design reviews and coaching designers, partnering with leadership to unify AI capabilities, and guiding end-to-end design projects tied to customer value. - You will identify success metrics, identify opportunities to enhance products and accelerate AI and search experiences, and collaborate with engineers, product managers, content designers, researchers, marketing, and analysts to advocate for the user experience and deliver high-quality work. - Qualifications require 10+ years of enterprise product design experience, experience delivering organization-wide design programs, end-to-end UX/product design, storytelling, balancing customer needs with business/technical feasibility, facilitation and cross-functional collaboration, design systems experience, and the ability to measure success and improve processes to increase product value, velocity, and adoption.

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

- Atlassian is 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.

Atlassian offers flexible, distributed work options with virtual interviews and onboarding, hiring globally for roles across the company. The role centers on the Agentic AI Integrations team, building AI integrations like the Rovo MCP Server and agent-to-agent workflows, leveraging tools such as Claude Skills and ChatGPT/Claude Apps within the Atlassian ecosystem. It targets bleeding-edge AI technologies, moving from prototyping to scalable enterprise-grade AI products used by thousands of developers and enterprise users. Responsibilities include ML performance and systems work (tuning MCP servers for latency, reliability, and semantic retrieval), designing MCP servers, tools, and agent-facing APIs, and delivering accessible, performant frontend experiences with React and TypeScript, plus API integrations and token/context optimization. The role also emphasizes AI/ML quality programs, automated CI/CD evaluations, observability and production diagnostics, and strong security practices (OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses) to ensure maintainable, well-tested AI integrations.

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 operates as a distributed-first company with flexible work options and virtual interviews, hiring in every country with a legal entity. The Intern program runs 12 weeks (May/June 2027–August/September 2027), is based in the Pacific Time Zone, and does not offer F1/J1 sponsorship. As a Product Design Intern, you’ll tackle real design challenges across Atlassian’s products, collaborating with designers, product managers, engineers, and researchers to turn customer problems into accessible experiences. You’ll contribute to design systems and prototypes while learning how AI-native and connected teamwork shape modern collaboration at scale, exploring AI-powered experiences across Jira, Confluence, and the cloud platform. Requirements include being enrolled full-time in a 4-year bachelor’s or 2-year master’s program, returning after the internship, graduating by June 2028, and having less than a year of professional experience, with preferred qualifications such as user-focused design experience, ability to manage multiple projects, and strong collaboration skills.

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 and is moving toward an AI-native future. The Solutions Engineering team helps Sentry’s largest customers embed the product, from SDK integration to ensuring alerts and issues reach the right place at the right time. Responsibilities include translating customer pain points into onboarding plans, developing best-practices content, acting as a subject-matter expert, conducting workshop-level engagements, and providing cross-functional feedback to align the product roadmap. Qualifications require 8+ years of experience in software and solutions engineering, hands-on coding with languages and frameworks such as JavaScript, Python, Node.js, Java, and others, plus strong communication skills. The role offers a salary of $200,000 to $240,000, comprehensive benefits, and a commitment to equal opportunity, inclusion, and accommodation.

At Atlassian, you can work where you choose and the company hires globally for this Senior Principal Technical Program Manager role, which is a senior individual contributor position with department- and portfolio-level scope across Enterprise and Emerging Businesses. The role requires partnering with leaders across Product, Engineering, Design, GTM, Finance, Legal, Security, IT, and Transformation, spanning near-term market launches to multi-year platform migrations, monetization, and operating-model transformations, and you will be accountable for outcomes rather than just plans. You will own portfolio-level outcomes, orchestrate cross-functional delivery, turn ambiguity into clarity, drive strategic launches and transformations, influence senior leaders, establish durable governance and readiness mechanisms, measure impact, raise the program-management craft, and lead through influence. The role reports to the Head of Program Management for Enterprise and Emerging and is a member of the Program Management Technical craft, with responsibilities across multiple teams and time horizons. In the first 12 months, success means delivering an integrated view of strategic programs with dependencies and risks, delivering high-impact programs with measurable customer, revenue, or operational impact, improving executive visibility and decision velocity, introducing at least one reusable program-management mechanism, and building durable partnerships with senior leaders.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally wherever they have a legal entity. The Risk and Compliance Senior Manager will drive the company’s risk and compliance strategy for cloud and enterprise programs, requiring deep expertise in frameworks, risk management, internal controls, and the ability to lead cross-functional initiatives and influence stakeholders. Responsibilities include owning the annual compliance plan, leading internal control programs, and managing end-to-end audits with evidence collection and remediation across frameworks like SOC 2, ISO 27001, HIPAA, and others. The role also involves managing control deficiencies, collaborating strategically, building business cases, advising partners, sharing knowledge, mentoring, and driving continuous improvement in processes, metrics, reporting, and analytics for the R&C function. Ideal candidates have 7+ years in technology risk management, compliance, or information security in large-scale SaaS/cloud environments, strong audit and control experience, familiarity with frameworks (SOC 2, ISO 27001, HIPAA, IRAP, PCI, C5), relevant certifications (CISA, CISM, CRISC, CISSP), and Jira/Confluence experience is a plus.

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 hiring an AI-savvy SMB Account Executive to grow the SMB base through cross-sell, up-sell, and new acquisitions, using AI-informed insights to accelerate revenue and deepen customer relationships. You will manage complex, consultative sales cycles, co-create AI transformation roadmaps with measurable KPIs, articulate data-backed ROI, and maintain a robust Salesforce pipeline with forecasts while collaborating with Solutions Engineers and cross-functional teams. Requirements include at least 2 years of B2B SaaS sales or solution engineering experience, strong technical aptitude for AI product architecture and integrations, proven prospecting and closing using AI-assisted methods, excellent organizational skills, and a BA/BS with willingness to travel. The role supports a hybrid work model, emphasizes a customer-centric, inclusive culture, and commits to fairness, DEI, and accommodations for applicants; AI screening of applications may be used where appropriate and lawful. The US annualized OTE ranges from $111,000 to $167,000 with a 60/40 base/commission split, potential bonuses or incentives, and final offers based on location and experience, with travel and other benefits as applicable.

Sentry is a fast-moving software company trusted by 200,000+ organizations, aiming to be the AI-native future of application monitoring. The role is to own Sentry’s blog, newsletter, and content programs as a self-starter who builds the calendar and ships quickly with strong editorial judgment. You’ll co-lead blog strategy, partner with Growth, Comms, PMM, and DevEx, ensure a consistent high-quality voice, track industry trends, and collaborate with executives on content. Responsibilities include running the monthly newsletter, developing premium content like data reports and case studies, and driving thought leadership and employer-brand narratives. Qualifications include experience managing an editorial calendar for a B2B or developer audience, strong writing/editing skills, ghostwriting for executives, newsletter experience, familiarity with developer tools, and a track record of self-directed execution, with Sentry affirming equal opportunity and accommodations in a diverse, open-source 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.

Atlassian offers flexible work options and hires globally where it has a legal entity. The company is hiring a Product Manager who loves AI-powered conversational experiences to lead Rovo Chat, Atlassian’s AI-driven interface for knowledge discovery and action across the digital workplace. The role involves shaping the strategic vision and roadmap for Rovo Chat, aligning with Atlassian’s AI strategy and driving adoption and engagement (MAU). You will drive cross-functional development of intelligent chat experiences that connect users to knowledge from Jira, Confluence, Bitbucket and external sources, with multi-turn dialogue, memory, and proactive assistance, from ideation through launch and iteration. You will define success metrics for quality and adoption, champion responsible AI practices, and ensure safe, transparent, inclusive conversational experiences, reporting within the Central AI team.

Sentry helps developers fix errors and performance issues, is trusted by over 200,000 organizations, and is building an AI-native future. The Billing team sits at the intersection of product, finance, and infrastructure, ensuring every observable event (errors, logs, traces, tokens) is accurately measured, priced, and billed, directly affecting revenue and customer trust. The Senior Software Engineer will architect and scale Sentry’s billing infrastructure, build the next-generation usage-tracking pipeline processing hundreds of billions of events daily with low latency and financial-grade accuracy, and design flexible pricing primitives for per-event usage and complex enterprise contracts. You’ll tackle data-consistency challenges like event delays, retroactive pricing changes, and distributed count reconciliation, thriving on the “easy to explain, hard to build” problems that ensure billing transparency and scalability. Compensation ranges from $155,000 to $400,000, with benefits and an equal-opportunity policy; Sentry also provides accommodations and has an Applicant Privacy Policy for how applicant data is handled.

Sentry is a leading application monitoring company trusted by 200,000+ organizations, focused on helping developers fix errors and performance issues faster while building an AI-native future. The company seeks an Engineering Manager to lead the Machine Learning Engineering team, overseeing the full ML surface from classical methods to LLM-based and agentic systems and deciding where ML fits in products. Responsibilities include setting technical direction, defining production ML evaluation and monitoring, staying hands-on to review code and designs, shaping the team roadmap, collaborating with product, design, and engineering, and growing and recruiting talent. Qualifications include 8+ years of engineering experience with substantial ML in production, 3+ years of engineering management experience, experience deploying ML at scale, strong communication, and a research background is a plus but not required. The base salary range is $220k–$450k, with benefits and accommodations, and Sentry emphasizes an inclusive, open‑source culture.

Sentry is a fast-paced application monitoring company trusted by 200,000+ organizations, helping developers fix errors and performance issues before users notice. The Billing team sits at the intersection of product, finance, and infrastructure, ensuring observable events are measured, priced, and billed, which directly impacts revenue and customer trust while enabling new products and pricing models. The Engineering Manager role leads a team responsible for checkout and invoicing workflows, defines the roadmap, provides technical guidance on distributed systems, and collaborates cross-functionally to help customers manage spend and grow their usage. Ideal candidates are product- and platform-minded, comfortable with cross-functional collaboration, with 5+ years of engineering experience and 2+ years of management experience, capable of owning delivery from features to maintenance. Sentry offers a salary range of $220,000–$450,000, benefits, equal opportunity and accommodations, and an open-source, inclusive culture, with more details in its benefits and Applicant Privacy Policy.

Sentry is a fast-growing application monitoring company trusted by 200,000+ organizations and is building an AI-native future. As a Senior Software Engineer on the AI/ML team, you will design and build evaluation infrastructure to measure the accuracy, reliability, and real-world performance of AI systems, including datasets, benchmarks, and test harnesses. You will own the evaluation lifecycle for major AI initiatives, build automated metrics pipelines, and collaborate with applied AI engineers and product leaders to translate vague goals into measurable criteria. Requirements include 5+ years of experience (BS in CS/ML or related field), experience with testing/evaluation/data infrastructure for complex systems, production-grade Python/TypeScript, and familiarity with ML evaluation techniques; bonus for LLM/agentic AI experience. Sentry offers a salary range of $155k-$400k, comprehensive benefits, and a commitment to equal opportunity, inclusivity, open-source values, and reasonable accommodations.

Sentry is a fast-moving software company that helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building; it is trusted by over 200,000 organizations and aims to be the standard in application monitoring with an AI-native future. As a Senior Software Engineer on Sentry’s AI team, you’ll develop the platform used by debugging agents and drive the integration of AI/ML into core products, from issue triage and resolution to predictive analytics for application performance monitoring. You’ll build state-of-the-art agentic AI platforms to triage, debug, and solve production issues, leverage Sentry’s massive dataset of errors, spans, and profiles, and own major initiatives in the AI/ML space. Qualifications include 5+ years of experience and a bachelor’s in CS or ML or a related field, production-grade agentic systems experience, writing production-quality Python and TypeScript, familiarity with PyTorch, and deploying ML models at scale; the base salary ranges from $155,000 to $400,000, with eligibility for benefits, equity, PTO, and more. Sentry is committed to equal opportunity, diversity, and inclusion, operates as an open-source company that prioritizes accessibility, offers accommodations for disabilities, and provides an Applicant Privacy Policy with details on data handling.

Sentry is a leading application monitoring company trusted by over 200,000 organizations, focused on helping developers fix errors and performance issues quickly so teams can build more. The Solutions Engineering team works with Sentry’s largest customers to embed the product into their applications and workflows, from SDK integration to routing alerts and issues to the right teams. The role involves translating customer pain points into onboarding plans, developing best practices and educational content, acting as a trusted advisor, delivering workshops, and collaborating cross-functionally to align the product roadmap with value delivery. Qualifications include 3+ years as a Solutions Engineer or similar, hands-on experience with programming languages and frameworks such as JavaScript, Python, Node.js, Java, PHP, .NET, Ruby, React, and mobile native, and excellent communication; the company is open to a range of experience levels. The compensation range is $140,000 to $190,000 plus benefits, with equal opportunity, diversity commitments, open-source values, and accommodations for applicants with disabilities; details are in the Applicant Privacy Policy.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity. Dev Infra builds the tools, platforms, and infrastructure that every Atlassian engineer uses to ship software. They are hiring a Senior Principal Engineer for the AI Foundations team to enable AI across the software development lifecycle, including how we measure it, provide context, and run compute at scale. The role is hands-on and leadership-by-doing—prototype hard parts, set the engineering bar, build foundational AI systems, give engineers real signals, and partner with engineering and product teams to decide when to buy, build, or bespoke solutions. It also involves mentoring senior engineers, aligning principals across the organization, and raising the team's ceiling for what’s possible.

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.

Sentry is a leading application monitoring platform used by over 200,000 organizations, helping developers fix errors and performance issues before users notice so teams can focus on building. The role is to turn the startup program into a real growth engine, owning startup marketing end-to-end—partnerships, community presence, acquisition programs, and representation in founder and early engineer circles—reporting to the Head of Enterprise Marketing. You will build and scale startup partnerships, expand accelerators/incubators/VC platforms, make Sentry credits a staple in startup perks, and own the acquisition funnel from free plan to paid customers with measurable pipeline metrics. You’ll be Sentry’s face in the startup ecosystem, create founder-focused content and campaigns, and shape the program by evolving credits, onboarding, and packaging while advocating for startups’ needs and tying activity to revenue outcomes. The role requires 4–7 years of marketing/growth/partnerships experience with startups, a track record of building programs from scratch and working across growth/brand/community/partnerships, familiarity with developer tools or B2B SaaS, and a commitment to Sentry’s equal opportunity, open-source ethos, and accommodation policy.

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.