Notion Logo

Notion

AI Applications Engineer

Reposted 9 Days Ago
Hybrid
San Francisco, CA, USA
152K-207K Annually
Senior level
Hybrid
San Francisco, CA, USA
152K-207K Annually
Senior level
The AI Applications Engineer will prototype AI-driven solutions, collaborate with stakeholders, and create reusable components to address business challenges.
The summary above was generated by AI
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

We’re looking for an AI Applications Engineer to help drive Notion’s business transformation efforts. In this role, you’ll be a strategic partner to our internal stakeholders (primarily GTM, Finance and People teams) and deliver and scale creative AI-driven solutions to multi-faceted problems with measurable business impact. You’ll also build reusable components, evaluation patterns, and operational guardrails that make AI delivery repeatable across teams.

 

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
  • Work with stakeholders to discover opportunities from ambiguous problem statements, translate them into scoped solutions, and drive iterative releases from idea to adoption

  • Build and ship end‑to‑end AI solutions—from problem framing through data readiness, modeling, evaluation, and production rollout

  • Establish evaluation and production-readiness patterns (metrics, monitoring, human-in-the-loop, rollout plans) so solutions are reliable at scale

  • Create reusable components, tooling, templates, and playbooks that accelerate future projects and enable other teams to ship safely

Skills You’ll Need To Bring
  • 4-8 years of experience as a Software Engineer or Data Engineer (or equivalent), with a track record of building and operating production systems end-to-end across application code, data, and infrastructure. Domain experience partnering with GTM and Finance is a plus.

  • Experience building AI-enabled applications in production (LLMs and/or classical ML), including prompt + tool orchestration, retrieval, evaluation, and iteration based on real-world feedback.

  • Strong production-readiness instincts, including observability, monitoring, quality gates, incident response, and safe rollouts/rollbacks in live business workflows.

  • Systems and integration fluency across APIs, data pipelines, and enterprise tools (e.g., CRM, finance, ticketing, HRIS), with the ability to navigate messy systems and still deliver reliable outcomes.

  • Impact-driven approach to technology: You use technology to drive measurable user and business outcomes, not as an end in itself. You stay current with tools like Cursor, Claude Code, and other AI-assisted development environments, and you’re pragmatic about choosing what delivers the most value.

  • Thoughtful problem-solving: You start with a clear understanding of context, align technical and non-technical partners, and translate AI concepts into actionable business outcomes. You navigate ambiguity and decompose complex problems into clean solutions.

  • Empathetic communication and collaboration: You communicate nuanced ideas clearly and enjoy collaborating across engineering, data, and business teams.

  • Familiarity with security, privacy, and governance for AI (access controls, PII handling, vendor/tool risk, auditability).

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 San Francisco, the estimated base salary range for this role is $152,000 - $250,000 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.

#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.

HQ

Notion San Francisco, California, USA Office

San Francisco, CA, United States, 94110

Similar Jobs at Notion

15 Hours Ago
Hybrid
San Francisco, CA, USA
196K-230K Annually
Senior level
196K-230K Annually
Senior level
Artificial Intelligence • Productivity • Software
Lead UX research to define and scale evaluation of Notion's AI experiences. Create reusable rubrics and measurement approaches, run longitudinal and feature-specific studies, identify failure modes and recovery behaviors, and operationalize evaluation with product, design, engineering, and data science partners to improve model output quality and end-to-end user experience.
15 Hours Ago
Hybrid
San Francisco, CA, USA
164K-190K Annually
Mid level
164K-190K Annually
Mid level
Artificial Intelligence • Productivity • Software
Conduct end-to-end qualitative and quantitative research to improve Notion's AI features (e.g., Notion Agent, Chat). Study human–AI workflows, run usability and post-ship evaluations, partner with Design/Product/Engineering/Data Science, communicate insights to stakeholders, and connect research to measurable business outcomes.
Top Skills: AIDovetailListen LabsNotionNotion AgentOutset
16 Hours Ago
Hybrid
San Francisco, CA, USA
170K-200K Annually
Senior level
170K-200K Annually
Senior level
Artificial Intelligence • Productivity • Software
The role involves managing competitive intelligence for product marketing, developing strategic resources for sales, and driving competitive campaigns to enhance market positioning and sales enablement.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account