Greenhouse ·
full-timeSenior Staff Engineer, AI
Asana · San Francisco
Asana is a company focused on work management software that is currently integrating advanced artificial intelligence into its platform. As a Senior Staff Engineer, you will lead the technical direction for the organization's AI initiatives, including the development of AI teammates, agent orchestration layers, and the underlying platform that supports model access, retrieval, and evaluation. This role involves making high-stakes architectural decisions regarding model strategy, build-versus-buy trade-offs, and infrastructure scalability. You will work across multiple engineering teams to guide the transition of AI products from prototypes to reliable enterprise features. The position requires deep expertise in distributed systems and LLM integration, as you will be responsible for setting quality benchmarks, monitoring production performance, and mentoring senior technical talent. This is a strategic leadership role suited for an experienced engineer who can bridge the gap between complex machine learning infrastructure and product-level business goals. You will collaborate closely with cross-functional partners in design, data science, and security to ensure that AI features are secure, scalable, and effective for enterprise users.
The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve 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 About you 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, with opinions strong enough to set direction and flexible enough to change with new evidence 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, and to bridge product, business, and technical language 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, is a plus Deep care for collaboration and an ability to foster an inclusive culture where everyone can bring their full selves to work and thrive Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $297,000 - $350,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In
| Role | Senior Staff Engineer, AI |
|---|---|
| Company | Asana |
| Location | San Francisco |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-06 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Asana
Asana is an operating system designed for human-agent teams to manage critical workflows. Founded in 2008, the platform utilizes the Asana Work Graph, a system that connects tasks, projects, goals, and dependencies to provide a shared context for both human users and AI agents. The software enables teams to collaborate within a shared space, utilizing shared memory to improve workflows over time while maintaining enterprise-grade governance, including audit trails and scoped permissions. Asana serves a wide range of organizations, including 85% of Fortune 100 companies, by providing tools for project management, compliance, portfolio monitoring, and cross-functional alignment. The platform is designed to help teams coordinate work, reduce time spent on status updates, and integrate AI agents directly into existing business processes.
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