Software Engineer, AI Capture

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

Build the most advanced AI Meeting Notes product — and expand it into broader “AI data capture” features that help teams turn conversations into durable context, tasks, and knowledge.

Our mission is to 10x the rate of business context & data that enters Notion — optimized for agents — so teams get superhuman memory across workstreams and customers. Notion workspaces that use AI Meeting Notes already enter 6x more data on a daily basis, so we’re well on our way.

What You'll Achieve

• Ship end-to-end product experiences across capture → transcript → summary → follow-ups (full-stack ownership).

• Make meeting & data capture feel effortless and magical (e.g., speaker identification via audio waveforms, richer in-meeting UX, smarter organization).

• Improve summary quality that teams trust: structure, factuality, and citations that make downstream agents and humans more capable.

• Raise the bar on reliability & observability across the pipeline (SLOs, debugging workflows, incident response) for realtime systems.

• Build agentic meeting workflows that turn discussions into tasks, follow-ups, and organized knowledge — so “we talk and things get done.”

• Deliver enterprise readiness: sharing/permissions, compliance, and scalability for our fastest-growing customers.

Skills You'll Need to Bring

• 10+ years shipping production software, with a strong track record of owning features end-to-end

• Strong full-stack engineering skills (frontend + backend) and excitement to own user-facing product end-to-end.

• Product-minded craftsmanship: you sweat details, iterate quickly, and use data and user feedback to guide decisions.

• Experience building and operating production systems (debugging, on-call/incident response, performance, and reliability).

• Ability to work across ambiguous problem spaces, align stakeholders, and drive execution with high ownership.

• You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results.

Nice to Haves

• Experience with LLM / applied AI product development (prompting, evals, model integrations, or quality measurement).

• Experience with media / realtime pipelines (audio, transcription, diarization, streaming, low-latency processing).

• Experience building for enterprise customers (permissions models, compliance, scale, and security).

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 $272,000 - $320,000 per year.

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.