Senior Staff Engineer, AI

San Francisco · USD 297,000-350,000 / year · 3+ years experience · Hybrid · Posted Oct 6, 2026

At a glance

Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
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The AI organization at Asana builds the platform and products that bring AI into how the world's teams work, including AI Teammates, the orchestration layer, and the core AI platform.
As a Senior Staff Software Engineer, you will set technical direction across the organization, lead hard cross-team problems, make architectural calls, and help senior leadership shape the product's AI future.

Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership
Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features
Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale
Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents
Make and guide high-stakes technical decisions on model and vendor strategy, build versus buy, and shared platform abstractions, and make sure those decisions age well
Influence R&D-wide AI strategy by bringing a grounded view of the model and agent landscape to senior leadership
Mentor staff and senior engineers, grow tech leads across the AI organization, and raise the bar for design and architecture reviews
Represent Asana's AI engineering work externally through talks, writing, and the technical community, and help attract senior talent

10+ years of experience building production software, including significant time as a technical lead whose work spanned multiple teams
3+ years building production systems with LLMs or machine learning, such as agents, retrieval, evaluation, or inference infrastructure
Track record of leading architecture and initiatives across organizational boundaries, with decisions that proved right over time
Hands-on fluency with the current AI landscape, including foundation models, agent frameworks, tool use, and evaluation methods
Deep experience with distributed systems and the reliability, latency, and cost challenges of running them at scale
Able to communicate clearly at every level, from design reviews with engineers to strategy discussions with executives
Passionate about coaching and mentoring engineers, including senior and staff-level engineers

Experience with multi-tenant enterprise SaaS, and with security, privacy, and data governance for AI systems