Staff Software Engineer, AI Studio

Asana AI Studio is a no-code builder that helps organizations design AI-powered workflows directly where work happens. It enables teams to automate routine work, surface insights, and coordinate execution with AI embedded in their workflows. We’re looking for a Staff Software Engineer to help lead the next generation of AI Studio. In this role, you’ll operate at the intersection of AI, workflow automation, and enterprise software, shaping both the product experience customers see and the systems that power it behind the scenes. You will drive technical direction and execution on high-impact, ambiguous initiatives while raising the effectiveness of the broader team through technical judgment and mentorship. 

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

• Set technical direction for major investments in AI Studio, especially where customer experience, platform capabilities, and long-term architecture intersect.

• Lead complex, multi-engineer initiatives from problem framing through delivery, creating clarity in ambiguous spaces and driving strong execution.

• Make hands-on contributions to critical parts of the product and platform, especially where deep technical judgment is needed to unlock progress.

• Partner closely with Product Management, Design, Data Science, and Engineering Management to shape roadmap, technical strategy, and tradeoffs. Influence technical decisions beyond the immediate team by collaborating with peer leads across adjacent product and platform areas.

• Mentor engineers and model excellent practices in technical design, project leadership, and product-minded engineering.

• Help evolve the team's engineering culture, raising the bar on quality, velocity, and pragmatic execution.

About you

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

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