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Asana

Senior Software Engineer, AI Teammates Platform

Asana is hiring a Senior Software Engineer, AI Teammates Platform in San Francisco, United States. It pays $202k-$230k a year and Level rates it ; you can apply on Asana.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • The listed pay starts 21% above the typical software engineer posting on Level.
  • Tools and skills the posting cites include OpenAI, Anthropic and RAG.
  • Level classifies it as a senior role.
  • Level lists 107 other open roles at Asana.

AI in this role

openaianthropic
ragai-agentsai-evaluation

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 Agents/Teammates Platform (AITP) team owns the execution engine and platform layer that makes Asana's AI Teammates and other AI Agents 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, events, harness and agentic memory that power AI across all of Asana engineering. Rather than building a monolithic feature, we build a composable foundation. We’re looking for a Senior Software Engineer to drive key architectural initiatives, design performant agentic runtime systems, and help build a reliable foundation that scales to millions of users.

Location: San Francisco, office-centric hybrid (in office Monday, Tuesday, 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

  • Drive the technical design, architecture, and end-to-end delivery of medium-to-large projects across the AI Teammates execution engine, tool orchestration, and platform APIs & events.
  • Architect and own composable platform foundations, harness, memory, partnering with product engineering teams to enable them to build agentic capabilities into their domains in a self-serve manner.
  • Design robust, extensible, and performant systems that support agentic execution, prompt-driven automation, tool integrations, and strict enterprise-grade reliability boundaries.
  • Solve complex technical problems across model evaluations, latency tuning, and cost optimization while balancing technical debt, execution risk, and direct business goals.
  • Move quickly by shipping in small increments, validating with real customer usage, evals, and metrics, and adjusting based on what the data shows rather than assumptions.
  • Anticipate customer and architectural risks early, breaking down complex agentic product visions into clear engineering milestones and actionable tasks.
  • Take end-to-end ownership of and accountability for outcomes, not just delivery, from design through production, quality, and customer impact.
  • Proactively identify gaps and opportunities, then propose and drive new features, platform capabilities, and re-architecture, backed by customer feedback and usage data.
  • Champion technical excellence, write high-leverage design docs, establish evaluation methodologies, and mentor engineers across levels to raise the engineering bar.
  • Partner closely with Product Management, Design, Data Science, and external model providers (e.g., OpenAI, Anthropic) to define requirements and align technical direction.

About You

  • 6+ years building and running production distributed systems, microservices, or complex backend architectures.
  • A track record as Tech Lead or AoR owner, driving multi-contributor projects from ambiguity to delivery across teams and services.
  • High ownership and accountability: outcomes are yours, you follow through, and you raise risks early and openly.
  • Product and customer-first: you start from the customer problem, use feedback and data to shape direction, and bring ideas rather than waiting for specs. You understand how architecture and model behavior affect user trust, latency, and reliability.
  • Bias for action grounded in reality: you move fast and decide from customer feedback, production data, and eval results, and you know when a decision needs more rigor and when it can be reversed cheaply.
  • Strong design-doc skills and sound trade-off judgment (latency, cost, determinism, maintainability).
  • Hands-on experience or deep interest in LLMs, agentic patterns, eval pipelines, RAG, or real-time streaming.
  • A quick learner who ramps fast on new domains, codebases, and the AI landscape.
  • A passion for guiding and mentoring engineers with actionable code and design feedback.

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 $202,000 - $230,000. 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.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

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

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

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.

Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

How we rate this

Senior Software Engineer, AI Teammates Platform at Asana rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI EvaluationOpenAIAnthropic

Also common in software engineer jobs at this level

Pay

This job starts at
$202k
Typical software engineer job
$167k

This posting starts 21% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you decide that one model's output is better than another's for a given task?
  4. What's a project where you used OpenAI hands-on?
  5. Walk me through how you've used Anthropic in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, AI Evaluation, OpenAI, and Anthropic. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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