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Staff Software Engineer, AI Teammates

Drive the technical strategy and architecture for Asana's AI Teammates Platform in a hybrid work environment.

Location
San Francisco, California, United States
Compensation
$248k–$282k/yr
Level
staff
Type
full time · Hybrid

Posted by employer 20 hours ago

First seen on Joblaze 10 hours ago

Last verified on the company career page 10 hours ago

What you'll build

  • Set the technical strategy for the AI Teammates execution engine
  • Drive the team to better itself and set high standards
  • Collaborate with other groups across Engineering
  • Partner with Product Management, Design, Data Science, and User Research
  • Oversee the execution of high-impact technical initiatives

Must have

  • 6+ years of software engineering experience
  • 2+ years leading engineering teams
  • Experience or deep interest in Applied AI / Agentic Systems
  • Deep project management experience
  • Passionate about mentoring engineers

Practical constraints

  • In-office days are Monday, Tuesday, and Thursday
  • Work from home on Wednesdays
  • Work from home on Fridays depends on the type of work

Role intensity

40% coding

AI in the day-to-day

We build the core systems behind agentic execution and partner with frontier model providers.

Requirements

Experience
6+ years

Not disclosed in this posting: visa sponsorship.

Benefits

Mental health, wellness & fitness benefits In-office culinary options Career coaching & support Inclusive family building benefits Long-term savings or retirement plans

Joblaze summary

In the role of Staff Software Engineer for AI Teammates at Asana, the individual will lead the technical strategy and architecture for the AI Teammates Platform, focusing on building reliable and scalable systems that enhance enterprise workflows. Key skills include backend development, systems reliability, and experience with applied AI, particularly in agent orchestration and model evaluation. This position is suited for a seasoned engineer with a strong leadership background, capable of mentoring others and driving high-impact technical initiatives. The team emphasizes collaboration across engineering disciplines and aims to create a flexible, maintainable platform for AI integration.

Joblaze insights

  • Listed today — first seen on Joblaze September 29, 2026. Last confirmed on Asana's careers page September 29, 2026.
  • Salary band is above the typical range for AI/ML roles (median ~$190,000).
  • Starts above 62% of 53 comparable staff ai/ml roles in United States that list AI/ML we track (median $222,716 across 26 companies). See AI/ML salary trends
  • AI/ML appears in 32.5% of 265 comparable staff ai/ml roles in United States; Agentic systems appears in 0.4% of 265 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff Software Engineer, AI Teammates role remote?
It's hybrid — Asana expects some on-site time in San Francisco, California, United States.
What's the salary range?
Asana lists $248,000–$282,000 for this role.
How much experience is required?
At least 6 years of relevant experience for this Staff Software Engineer, AI Teammates role.
Where is the role based?
Asana is hiring for this position in San Francisco, California, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Agentic systems, Applied AI.
What seniority level is this role?
Asana targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Software Engineer, AI Teammates role at Asana.

From the original posting

AI Teammates are Asana’s flagship AI innovation - autonomous agents embedded directly into enterprise workflows that reason, act, and proactively drive work forward. The AI Teammates Platform (AITP) team owns the execution engine and platform layer that makes these AI Teammates effective, reliable, and scalable.

We build the core systems behind agentic execution: model evaluation and rollouts, proactive detection of blocked work, execution quality infrastructure, tool orchestration, and the platform APIs that power AI across all of Asana engineering. Rather than building a monolithic feature, we build a composable foundation. If a Teammate reasons, acts, or autonomously improves - that’s us.

We’re looking for an experienced Technical Lead to drive the technical strategy, architecture, and execution for the AI Teammates Platform. You will bridge the gap between frontier AI capability and enterprise-grade software engineering, operating in close partnership with frontier model providers while building systems that scale to millions of users. If you are passionate about applied AI, agentic orchestration, high-reliability backend systems, and growing high-performing engineering teams, we’d love to hear from you!

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 the technical strategy for the AI Teammates execution engine, tool orchestration, and platform APIs within Asana, advocating for engineering-driven investments with a vision for keeping our systems flexible, reliable, and maintainable to meet customer needs now and in the future
  • Drive the team to continually and holistically better itself, setting high standards for clean architecture, systems reliability, and evaluation methodologies while enabling the engineers around you to deliver at high velocity and grow their skills
  • Be a key collaborator with other groups across Engineering and a technical counterpart to the AI Teammates team’s Engineering Manager, serving as a partner to external model providers (OpenAI, Anthropic) and representing our platform capabilities across team boundaries
  • Partner with Product Management, Design, Data Science, and User Research to deeply understand agentic work patterns, and propose elegant solutions to make AI Teammates effective and trustworthy
  • Architect and own the composable platform foundation, partnering with product engineering teams to enable them to build agentic capabilities into their domains in a self-serve manner
  • Oversee the execution of high-impact technical initiatives—from advanced proactivity and MCP integrations to model evals, latency tuning, and cost optimization—ensuring our systems scale safely with frontier LLM updates

About You

  • 6+ years of software engineering experience working in large codebases, with strong backend, systems, or reliability fundamentals.
  • 2+ years leading engineering teams or serving as a technical lead, with a track record of driving technical strategy, timeline planning, and risk mitigation.
  • Experience or deep interest in Applied AI / Agentic Systems: Familiarity with agent orchestration, tool integration, model evaluation frameworks, RAG, or production LLM observability.
  • Quick learner and comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles
  • Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others
  • Passionate about mentoring engineers at all skill levels; able to identify technical growth opportunities and deliver thoughtful, candid feedback
  • Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive, fostering an environment of psychological safety within your team

For this role, the estimated base salary range is between $248,000 - $282,000. 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 addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

About us

Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ 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, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally 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. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-Hybrid #LI-AS2

About us

Standard company text repeated across Asana's postings is omitted here.

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