Software Engineer, AI Capture
Software Engineer · Senior · Full Time
Opens Notion's application page
Role
What you'll do.
Notion is seeking a Software Engineer specializing in AI Capture to develop advanced meeting notes and data capture technologies. The ideal candidate will build end-to-end product experiences that transform conversations into actionable insights, focusing on creating magical, effortless AI-powered capture and summarization tools for teams.
Responsibilities
- End-to-End Product Development: Ship comprehensive product experiences from capture to transcript, summary, and follow-ups with full-stack ownership
- AI Meeting Notes Enhancement: Develop advanced meeting capture features including speaker identification, rich in-meeting UX, and intelligent organization
- Summary Quality Improvement: Enhance summary reliability through structured, factual content with robust citations to empower downstream agents and users
- System Reliability: Implement and maintain high-reliability real-time systems with robust observability, SLOs, and incident response protocols
- Workflow Automation: Create agentic meeting workflows that automatically transform discussions into actionable tasks, follow-ups, and organized knowledge
- Enterprise Readiness: Develop advanced sharing, permissions, compliance, and scalability features for enterprise customers
Qualifications
What we look for.
Technical
Full-Stack Engineering
Strong proficiency in both frontend and backend development with end-to-end product ownership capabilities
Production Systems
Extensive experience in building, debugging, and maintaining high-performance production systems
AI Technology Adoption
Ability to integrate and work with cutting-edge AI tools and technologies
Education
Computer Science
Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred
Experience
Full-Stack Development
Minimum 3-5 years of full-stack software engineering experience with demonstrable product development track record
AI Product Development
Experience with AI product development, including understanding of LLM integration, prompting, and quality evaluation
Skills
Required
Full-Stack Development
Comprehensive skills in frontend and backend engineering
Product Thinking
Strong ability to iterate quickly and make data-driven decisions
System Reliability
Experience with debugging, incident response, and performance optimization
Stakeholder Collaboration
Capability to work in ambiguous problem spaces and drive execution with high ownership
Preferred
LLM Experience
Nice to havePractical experience with Large Language Model development and integration
Media Pipelines
Nice to haveBackground in real-time media processing, audio transcription, and low-latency systems
Enterprise Software
Nice to haveExperience building scalable solutions for enterprise customers
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 272,000 – 320,000
Equity·Stock options
Benefits
Competitive Compensation
Highly competitive salary range with potential for equity compensation
Health Insurance
Comprehensive medical, dental, and vision coverage
Flexible Work Arrangement
Hybrid work model with in-office collaboration on designated anchor days
Professional Development
Continuous learning opportunities and support for conferences, workshops, and skill enhancement
Inclusive Culture
Commitment to diversity, equity, and creating a supportive work environment
Process
Interview steps.
- 01
Initial Screening
Resume and background review by recruiting team
- 02
Technical Phone Screen
Preliminary technical interview assessing coding skills and problem-solving abilities
- 03
Take-Home Challenge
Hands-on coding project demonstrating full-stack and AI integration capabilities
- 04
Onsite/Virtual Interviews
Multiple rounds including technical deep-dive, system design, and cultural fit interviews
- 05
Final Leadership Interview
Discussion with senior engineering leadership about vision, approach, and potential team fit
Full posting
Original listing.
About Us:
Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
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:
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).
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
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.
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.
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.
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