Model Behavior Engineer

Reposted 12 Days Ago
2 Locations
Hybrid
98K-140K Annually
Mid level
Artificial Intelligence • Productivity • Software
Notion is the AI workspace where teams and AI think together. Come build work that lasts.
The Role
Owner of Notion AI quality: design and iterate prompts and context strategies, analyze production data, build evals and metrics, evaluate/launch models with labs, and drive cross-functional quality improvements.
Summary Generated by Built In
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 own the quality bar for Notion AI products. You’ll work with product and engineering teams to build systems to define what “good” looks like, measure our progress, and drive changes to deliver reliable and high-quality AI experiences. Your work directly shapes how Notion's AI products behave for millions of users.

This isn't a traditional software engineering role. It’s an art & science role. You won't spend your days writing code. Instead, you'll focus on understanding and shaping how our AI products behave through context engineering, designing evaluation systems, and analyzing data. This team sits in our AI engineering team, working directly with engineering, product, design, and data.

This role is a unique blend of ops, strategy, and product thinking. Day to day, you'll live in production data, ship prompt fixes, run evals and, in effect, shape our quality strategy. As part of that you'll shape Notion's model strategy and work directly with frontier AI labs (OpenAI, Anthropic, Google) to evaluate and launch new models.

We're looking for problem-seeking generalists interested in 0 → 1: curious people with high agency who thrive in ambiguous, fast-moving product areas. We're building a product, but also building a new function. You'll have real ownership from day one and help write the playbook as we scale.

What You'll Achieve
  • Context engineering — Design, test, and iterate on system prompts, tool prompts, and context strategies that shape how Notion's AI products behave. Understand the nuances of how models respond to different context structures and use that knowledge to drive quality improvements directly.

  • Understand & debug — Live in production data: transcripts, logs, user feedback. Reproduce issues, identify root causes, and translate symptoms into actionable problem statements. Find signal in noisy data.

  • Build evals & Measurement — Design eval strategies, build datasets, run evaluations. Track quality over time. Identify issues before users do. Own the loop: define quality goals, create evals, test and improve

  • Evaluate and launch new models with leading research labs — Evaluate and launch models from OpenAI, Anthropic, Google, and others. Benchmark across dimensions: quality, latency, cost, edge cases. Help shape Notion's model strategy based on real data.

  • Drive quality priorities — Work embedded with eng and product teams to surface the most important issues. Own the quality narrative: severity, frequency, what to fix and why. Be the voice of quality in the room.

  • Build tooling & systems — Help manage AI observability and eval platforms (e.g., Braintrust). Build the playbooks and tools that enable all teams at Notion to build AI products.

Skills You’ll Need to Bring
  • Driver mentality — You treat problems as yours. If something's broken, it's your job to fix it, even if you didn't cause it. You have a bias to action.

  • Curiosity -You’re excited about exploring the “jagged frontier” of LLM capabilities and how AI products meet reality

  • Analytical instinct — Your first move is to look at data. You can find signal in noise.

  • Comfortable working with data — You can self-serve insights from large datasets, whether through SQL, coding agents, or other tools.

  • Clear communication — You can explain complex issues simply.

  • Experience with LLMs, prompting, or AI products

Nice to Haves
  • Backgrounds in engineering, product, data science, research, consulting

  • You've built something on your own to solve a problem — side project, startup, tool, whatever

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 or New York City, the estimated base salary range for this role is $98,000 - $140,000 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 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.

Skills Required

  • Driver mentality (bias to action, ownership of problems)
  • Curiosity about LLM capabilities and AI product behavior
  • Analytical instinct; ability to find signal in noisy data
  • Comfortable working with data and self-serving insights (e.g., SQL, coding agents)
  • Clear written and verbal communication
  • Experience with LLMs, prompting, or AI products
  • Ability to design, test, and iterate system prompts and context strategies
  • Experience designing eval strategies, building datasets, and running evaluations
  • Backgrounds in engineering, product, data science, research, or consulting
  • Side projects, startups, or independently built tools demonstrating initiative

What the Team is Saying

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Notion Compensation & Benefits Highlights

  • Healthcare Strength Medical, dental, and vision coverage have premiums covered in most cases, and mental‑health support is included.
  • Parental & Family Support Paid parental leave (including adoptive and foster paths) is provided, alongside employer‑funded fertility and family‑forming support via Carrot.
  • Equity Value & Accessibility An employee tender and a temporary waiver of the one‑year vesting cliff enabled broad participation, improving perceived liquidity and access to equity value.

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The Company
HQ: San Francisco, CA
1,000 Employees
Year Founded: 2016

What We Do

Notion is a collaborative AI workspace. Teams use it to store knowledge, run projects, take meeting notes, and build AI workflows — all in one place, so AI always has the context it needs to be useful. We're building the layer where AI stops being a chat window and starts being part of how work gets done. Knowledge, decisions, and action in one connected system.

Why Work With Us

We're building the layer where AI stops being a chat window and starts being part of how work gets done. Notion is where AI becomes useful at work: real workflows, real users, real context. People here move from idea to shipped without asking permission. If you want your fingerprints on work that millions of people use, this is the place.

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Notion Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Notion is an in-person company. We come together three days a week: Monday, Tuesday, and Thursday — because the best collaboration tends to sneak up on you. A quick question becomes a whiteboard session. A lunch reshapes a plan. Togetherness is what

Typical time on-site: 3 days a week
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HQSan Francisco, CA
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