# Software Engineer, AI Capture

**Company:** [Notion](https://hotfix.jobs/companies/notion)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $272k – $320k/yr
**Skills:** JavaScript, React, Node.js, Python, LLMs, Audio Processing, Transcription, Realtime Systems, Streaming, Kubernetes
**Posted:** 2026-04-21

> Builds advanced AI meeting notes and data capture features for Notion, owning full-stack development from audio capture to agentic workflows and summaries. Requires strong full-stack skills, production systems experience, and product-minded execution.

## Job Description

## 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
- 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).

**Compensation (San Francisco):** Estimated base salary range $272,000 - $320,000 per year (plus equity and benefits).

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**Canonical:** https://hotfix.jobs/jobs/27039214-9309-42ad-be29-1320592e536e