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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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