Engineering Manager, Mobile AI
Company websitenotion.com (Notion, opens in new tab)
Base salary $255K to $290K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (just now) · observed since
About this job
Who We Are
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
About the Role
You’ll lead the Mobile AI engineering team, responsible for making Notion AI genuinely useful on phones and tablets. Mobile is where AI needs to work in the moment: when users are capturing ideas, catching up between meetings, asking questions, or trying to move work forward away from their desk.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
What You'll Achieve
Define and evolve the roadmap for Notion’s core mobile AI surfaces, including chat, capture, agent workflows, workspace Q&A, and lightweight creation flows.
Take new mobile AI ideas from exploration to shipped product, using prototypes, user feedback, and product data to decide what to build next.
Improve the production quality of mobile AI by identifying instrumentation gaps, reliability risks, and performance bottlenecks before they become user problems.
Help the team build the right technical foundations for fast iteration across mobile, web, and server boundaries.
Skills You'll Need to Bring
Engineering leadership: You have 2+ years managing engineering teams and have helped teams ship high-quality products at scale.
Hands-on technical leadership: You stay close enough to the code to guide architecture, performance, reliability, and release-quality decisions — and can make small contributions when it helps the team move faster.
AI product curiosity: You don’t need to be an AI researcher, but you are hands-on with AI tools and curious about how AI changes product development, engineering workflows, and user expectations.
Execution through ambiguity: You can turn open-ended product bets into clear strategy, sequencing, staffing, and delivery.
Cross-functional leadership: You work well with across different functions to define problems and ship polished outcomes.
People leadership: You recruit, coach, and grow engineers, build an inclusive team, and communicate clearly through disagreement.
Nice to Haves
You’ve led teams building AI product experiences involving streaming UX, tool use, voice or multimodal input, evaluation loops, or reliability guardrails.
You’ve managed teams through 0→1 product development or fast iteration on new product surfaces.
You have experience with mobile platform concerns such as offline resilience, realtime collaboration, rich-text editing, app performance, or release quality at scale.
You’ve led teams delivering end-to-end product experiences across mobile, web, and server boundaries.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary range for this role is $255k - $290k per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144.
#LI-Onsite
A Note on AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
Equal Opportunity & Accommodations
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Source: Notion on Ashby · View original posting (opens in new tab)
This listingEngineering Manager, Mobile AI$255K to $290K
Software Engineer, Model Capabilities$255K to $300K
Head of Demand Engine$245K to $275K
Software Engineer, AI Product Security$270K to $340K
Partner Marketing Manager$235K to $260K
GTM Compensation Lead, Commercial Operations$230K to $257K
Software Engineer, Infrastructure Security$230K to $280K
Chart as a table
| Role | Published base |
|---|---|
| Engineering Manager, Mobile AI (this listing) | $255K - $290K |
| Software Engineer, Model Capabilities | $255K - $300K |
| Head of Demand Engine | $245K - $275K |
| Software Engineer, AI Product Security | $270K - $340K |
| Partner Marketing Manager | $235K - $260K |
| GTM Compensation Lead, Commercial Operations | $230K - $257K |
| Software Engineer, Infrastructure Security | $230K - $280K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-05-21
Where this pay comes from
Location as the employer wrote it: New York, New York
date’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary range for this role is $255k - $290k per year.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
