Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€2,367–€14,758). The listed pay band (€445–€721) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 351 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Product Engineer | €10,128/per month | €12,298/per month | €14,468/per month |
| All roles in Remote - Global | €2,367/per month | €6,692/per month | €14,758/per month |
| Pay in our data — not quoted in ad (Senior) | €445/per month | €583/per month | €721/per month |
Senior / Staff Product Engineer (AI) at Linear builds AI-powered product features that feel native, fast, and delightful to use. You’ll 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; Postgres, Redis for storage. Hosted on Google Cloud with Kubernetes. GitHub, Slack, Notion. We are an equal opportunity remote-only company, hiring within North America for this role.
Job Details
Responsibilities
- Build AI-powered features
- Collaborate with product and design
- Prototype intelligent workflows
- Design backend services for NLP interfaces and smart suggestions
- Optimize prompts and model behavior
- Guide agent platform integration
Requirements
- Experience building and deploying AI systems to production
- Strong proficiency in TypeScript and Node.js
- Experience with GraphQL and real-time web tech
- Familiarity with cloud platforms (Google Cloud) and Kubernetes
Skills & Technologies
Benefits & Perks
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