Senior / Staff Product Engineer, AI
crypto:applicationengineeringIC6Product
Compensation
Not disclosed
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
We’re looking for experienced engineers who have shipped applied AI systems to production and want to define what the agent-native future looks like. We are building intelligence into the core of Linear, enabling the product to orchestrate coding, proactively move work forward, and power-up every software team.
You’ll work closely with product and design to transform foundation models into structured, reliable workflows embedded deeply in the core of Linear. We care deeply about keeping Linear fast, intuitive, and opinionated—AI is no exception.
Location & work mode
Linear is a remote-first company. This role is open to candidates based in the North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
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 i