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Linear

Senior Software Engineer (AI)

Sorry, this job was removed at 12:49 p.m. (PST) on Thursday, Aug 07, 2025
Remote
Hiring Remotely in USA
Remote
Hiring Remotely in USA

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At Linear, we are on a mission to bring magic back to software. To empower product teams to do their best work, we are building an issue tracking and project management tool that combines UI elegance with world-class performance. Founded in 2019, Linear has become the platform of choice for thousands of high-impact companies to build their products better.

Linear was set up as a fully remote company from the start. Today, our small but mighty team is distributed across North America and Europe. What unites us is relentless focus, fast execution, and our passion for software craftsmanship. We are all makers at heart and care deeply about the quality of our work.

We are now looking for experienced engineers that have built and deployed AI systems to production to help us design and build native AI features that elevate our core product. You’ll work closely with product, design, and engineering teams to craft seamless AI-powered experiences, such as vector-powered search, proactive suggestions, and agentic systems. We care deeply about keeping Linear fast, intuitive, and opinionated—AI is no exception.

Please note: We are an equal opportunity employer and remote-only company. At this time, we can only support hiring within North America for this role.

What you'll do

  • Build AI-powered product features that feel native, fast, and delightful to use

  • Work with product and design to prototype and iterate on intelligent workflows and user interactions

  • Design backend services to power natural language interfaces, smart suggestions, agentic workloads, and more

  • Optimize prompts, fine-tune model behavior, and evaluate performance

  • Help to guide our agent platform, allowing third parties to bring agents into the core Linear experience as teammates.

  • Contribute to the architecture for AI-integration infrastructure that’s reliable and privacy-aware

Tech

  • TypeScript and Node.js for backend services

  • GraphQL APIs and WebSocket-based real-time sync

  • Public and private AI models; temporal for async workloads

  • Postgres, Redis, and Turbopuffer for storage and caching

  • Hosted on Google Cloud with Kubernetes

  • GitHub, Slack, Notion

What we offer

  • Interesting and challenging work

  • Work-life balance

  • Competitive salary and equity

  • Employee-friendly equity terms (early exercise, extended exercise)

  • Paid lunch and coffee during workdays

  • Work remotely, no commuting to the office

  • Paid co-working space/desk at an office

  • Health, dental, and vision insurance (US)

  • Regular team events and off-sites

  • 5 weeks of paid vacation

  • 4 months of paid parental leave

Learn how we think and work

  • Read Me a story about our mission

  • Why and how we do work trials Linear blog post

  • Crafting quality that endures Config keynote by our Co-founder & CEO, Karri Saarinen

  • How we structure our product teams talk by our Head of Product, Nan Yu, at Config 2024

  • Scaling our real-time sync engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite

  • First Round Capital: The Unsung Ingredient: Taste

HQ

Linear San Francisco, California, USA Office

San Francisco, CA, United States, 94103

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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