Senior Product Manager, AI Context
Asana is hiring a Senior Product Manager, AI Context in New York, United States. It pays $202k-$230k a year and Level rates it ; you can apply on Asana.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Pay on this posting starts 12% higher than the typical AI product manager posting on Level.
- The posting mentions AI agents and fine tuning among its tools and skills.
- Level classes it as a senior role.
- Asana has 108 other open roles on Level.
AI in this role
Asana is building the platform for human and agent collaboration in the enterprise. With the launch of Agentic Work Management (AWM), AI is now a foundational part of that platform, and the shift brings a new class of problems with it. Customers need to trust agentic work, govern it, and see a return on it before they will scale it. Many of the opportunities that matter most for customers sit between our suite of AI products, rather than inside any particular one—which is where you come in.
This role sits in our AI Platform Group on a small, fast-moving team with a deliberately broad mandate: work across the boundaries other product teams operate within, identify the cross-cutting problems and opportunities that no single team owns, and build leveraged solutions that create scalable, differentiated value for our customers.
This role is based in our New York City 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
- Work directly with enterprise customers and prospects to discover the challenges they face when managing agentic work in Asana, and bring back what you learn to inform your roadmap.
- Discover and quickly validate new, high-leverage opportunities, then work cross functionally to deliver end-to-end solutions, fast.
- Consistently choose leverage over local wins: pick the problems whose solutions compound across Asana's AI products rather than improving a single surface in isolation.
- Help set the standard for what Asana invests in versus not as the AI capability landscape shifts, piloting new capabilities and accelerating their adoption and integration into our AI products.
- Decide which of our existing convictions are worth pursuing (if at all), and in what order: AI ROI measurement and reporting, AI governance, monitoring, and administration, building new capabilities for managing complex, cross-functional agentic workflows.
About you
- Senior IC product management experience in enterprise SaaS, with a track record of shipping complex products end to end.
- Hands-on experience building or shipping an AI-first product, with working fluency in how AI actually gets deployed and hosted: model providers, inference hosting choices, evals and quality measurement, fine-tuning and data privacy trade-offs.
- A platform instinct. You can see where a capability built once serves several products, and you would rather build that than the point solution, even when the point solution ships sooner.
- Energized rather than stalled by ambiguity and greenfield problems. You're comfortable being handed an outcome and a wide problem space rather than a specification.
- Strong prioritization and sequencing instincts. You can hold several plausible directions at once and still make a clear call on which one to invest in first.
- A track record of working directly with enterprise customers to unblock deals and drive revenue, and of influencing teams that don't report to you.
- Thrive on a small team where the PM is expected to prototype, run their own discovery, and work shoulder to shoulder with engineering.
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 $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 recruiter 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 recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid #LI-HC1
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 Product Manager, AI Context at Asana rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $202k
- Typical AI product manager job
- $180k
This posting starts 12% above the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents and Fine-tuning. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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