Senior / Staff Product Engineer, AI
Linear · North America
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About the Role
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 infrastructure that's reliable and privacy-aware
Our tech
This stack reflects the systems we build and operate. You're not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale.
Pluggable agentic workload system utilizing temporal, operating at production scale
Proprietary websocket data sync framework built for speed and offline support
React, MobX, styled-components on the frontend
Extensive, widely used, GraphQL API and SDK
Node, Postgres, Temporal, and Redis in the backend
Hosted on Google Cloud with k8s
GitHub, Slack, Notion
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
Competitive salary and equity
Employee-friendly equity terms including early exercise in the US and extended exercise windows
Daily meal and coffee stipend on every workday
Paid co-working space or desk
Health coverage (based on country requirements)
5 weeks paid vacation, plus local statutory holidays
4 months paid parental leave
Paid month off after 4 years & every 2 years thereafter
Regular team events and off-sites
Remote-first with no required commute
Learn how we think and work
Read Me a story about our mission
How we work: Designing remote work at Linear
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
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
In mathematics, the term linear is used in two distinct senses for two different properties:linearity of a function ; linearity of a polynomial.
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