Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Leads application and software engineering teams supporting Oracle Fusion Cloud and core Finance SaaS applications. Oversees finance transformations, integrations, automation, architecture, reliability, quarterly Fusion upgrades, and company-wide initiatives. Partners with Finance and Engineering stakeholders, drives metrics and OKRs, maintains SOX compliance, leads code reviews and complex problem resolution, and advances AI/ML and continuous improvement across critical financial systems.

Provides strategic technical consulting to enterprise customers using Atlassian Cloud, AI, and related solutions. Responsibilities include solving business challenges, developing prescriptive technical guidance, supporting cloud migrations, designing AI proof-of-concept solutions, promoting service expansion, advocating for customer needs, and collaborating across internal teams. The role requires customer-facing expertise, strong knowledge of Atlassian ecosystems and SaaS architectures, and up to 30% domestic and international travel.

Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; manage AI risk, privacy, and compliance; mentor engineers; and align technical solutions with business objectives.

Lead product design for Atlassian’s AI experiences, including Rovo, across Jira, Confluence, Loom, and other products. Develop complex enterprise software experiences, apply AI to search, chat, and agent workflows, align customer and business needs, facilitate cross-functional design decisions, and improve design processes and methodologies to accelerate product adoption and team velocity.

Lead the design and delivery of scalable machine learning systems and customer-facing generative AI applications for Rovo Chat. Build agent harnesses that improve quality, reliability, and latency; advance state-of-the-art AI capabilities; lead engineers through technical design and launch; and collaborate cross-functionally with teams and internal customers. The role also involves applying a deep understanding of the machine learning project lifecycle and supporting platform-based product development.

Security Engineering Intern responsible for completing a scoped security project, developing automation and investigation tools, researching vulnerabilities, analyzing findings, validating AI-assisted outputs, collaborating with engineers, and documenting and demonstrating solutions. The role requires programming, web and systems knowledge, foundational security understanding, AI familiarity, and current enrollment in a bachelor’s or master’s program.

Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.

Lead Atlassian’s Agent Platform engineering team, combining people management with hands-on technical leadership. Set direction for applied ML, agent workflows, retrieval, evaluation, observability, reliability, security, privacy, and scalable platform foundations. Hire, coach, and develop engineers; establish planning and execution practices; write production code; and align roadmaps across product, engineering, ML, data, and platform stakeholders to deliver reliable AI experiences.

Build and launch complex backend projects, design scalable architectures, lead code reviews, resolve high-risk issues, and contribute to company-wide engineering initiatives. The role involves Java development, distributed systems, cloud platforms, databases, performance optimization, mentoring engineers, and influencing technical decisions across teams.

Own the strategy, roadmap, and customer experience for Atlassian’s usage-based monetization platform. Lead cross-functional execution across Engineering, Design, GTM, Marketing, Finance, and Legal; make high-stakes pricing and enforcement decisions; define metrics and use data to guide the roadmap; influence executive stakeholders; and mentor other product managers.