Software Engineer, AI Capture

🕒 April 22

🏢🏡 San Francisco – Hybrid

💵 $272k - $320k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

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Notion

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

☁️ SaaS

⚡ Productivity

🤖 Artificial Intelligence

SaaS • Productivity • Artificial Intelligence

Notion is a collaborative AI-powered workspace and productivity platform that combines notes, docs, knowledge base, project management, calendar and email with built-in AI agents to automate repetitive tasks, summarize meetings, surface enterprise search results, and streamline team workflows. Available as web and native apps and offered primarily as a subscription SaaS, Notion centralizes knowledge and integrates with other tools to boost team productivity and reduce tool sprawl.

📋 Description

• 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.

🎯 Requirements

• 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).

🏖️ Benefits

• Health insurance • 401(k) • Paid time off • Professional development opportunities