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Senior Staff Software Engineer, Developer Productivity

Asana - San Francisco, CA, United States - Hybrid - posted 2026-09-17

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Salary: USD 323,500 - 336,750 / annual

Asana is seeking a Senior Staff Software Engineer to lead the Developer Productivity group and drive developer velocity through AI-powered tooling and infrastructure. This is a group-level technical leadership role spanning tooling, frameworks, and infrastructure to enhance the developer experience across Asana's engineering organization. Key responsibilities include: - Drive critical developer productivity and AI developer tooling projects impacting 500+ developers at Asana - Partner with the Developer Productivity Group Tech Lead to define technical vision and strategy for 6+ engineering teams focused on improving velocity - Build and align on the roadmap for Asana's development platform to drive faster development lifecycle feedback loops - Own key outcomes such as extending internal tooling for delegating work to agents across harnesses - Mentor senior and staff-level engineers in Developer Productivity and across the broader Engineering organization - Act as a resource for team-level tech leads on technical planning, design & architecture, and tech debt prioritization The role is based in San Francisco or New York with an office-centric hybrid schedule: Monday, Tuesday, and Thursday in-office are standard. Wednesday work-from-home is available for most employees; Friday flexibility depends on work type and team partnerships. Asana is a leading platform for human + AI collaboration, with millions of teams worldwide relying on it to achieve their goals. The company has been recognized by Fortune as a Best Workplace for 7+ years and is known for excellence in workplace culture and innovation. Requirements: - 10+ years of experience as a technical contributor in large-scale products - 2+ years of experience owning a build system, developer environment, CI, or equivalent at an organization of 200+ engineers - Experience making and delegating technical decisions with org-wide impact - Fluency in current AI developer tooling with strong opinions to collaborate and set direction - Passion for coaching and mentoring engineers of all experience levels - Deep commitment to collaboration and fostering an inclusive culture - Curiosity about AI tools and emerging technologies, with willingness to learn and leverage them to enhance productivity and decision-making

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