Senior / Staff Product Engineer, AI

Linear9 months ago

Location

North America

Workplace

Remote

Type

Full Time

Level

Senior

Role

AI/ML Engineer

Posted

Jul 10, 2025

Full TimeRemoteSenior

The role

Summary

Linear is seeking a Senior/Staff Product Engineer to build AI-powered features for their product development platform used by 25,000+ companies including OpenAI and Coinbase. The role involves creating intelligent workflows, agentic systems, and natural language interfaces that feel native and fast within Linear's core product experience.

What you'll do

AI Feature Development: Build AI-powered product features that feel native, fast, and delightful to use within the Linear platform

Product Collaboration: Work closely with product and design teams to prototype and iterate on intelligent workflows and user interactions

Backend Architecture: Design and implement backend services to power natural language interfaces, smart suggestions, and agentic workloads

Model Optimization: Optimize prompts, fine-tune model behavior, and evaluate AI system performance

Agent Platform Development: Help guide the development of Linear's agent platform, enabling third parties to integrate agents into the core experience

Infrastructure Design: Contribute to the architecture for AI-integration infrastructure that prioritizes reliability and privacy

Production Scale Systems: Build and maintain AI systems that operate reliably at production scale with real-world performance requirements

What we look for

Technical

Applied AI SystemsProven experience shipping AI systems to production with real-world usage

Foundation ModelsExperience working with large language models and transforming them into structured, reliable workflows

Full-Stack DevelopmentStrong background in both frontend and backend development with modern web technologies

Production ScaleExperience building systems that operate reliably at scale with performance optimization

React EcosystemProficiency with React, state management libraries, and modern frontend development practices

Backend ServicesExperience with Node.js, databases, API design, and distributed systems architecture

AI IntegrationUnderstanding of prompt engineering, model fine-tuning, and AI system evaluation

Education

Computer Science DegreeBachelor's degree in Computer Science, Engineering, or equivalent practical experience

AI/ML KnowledgeStrong foundation in machine learning, natural language processing, or AI systems (formal education or self-taught)

Experience

Senior Level Experience5+ years of software engineering experience with focus on product development

AI/ML Production ExperienceDemonstrated experience building and shipping AI-powered features in production environments

Product-Focused DevelopmentExperience working closely with product and design teams to build user-facing features

Startup or Fast-Growth EnvironmentExperience in fast-paced environments with emphasis on execution and software craftsmanship

Skills

Required skills

JavaScript/TypeScriptExpert-level proficiency in modern JavaScript and TypeScript development

React DevelopmentStrong experience with React, component architecture, and state management

AI/ML IntegrationHands-on experience integrating AI/ML models into production applications

Backend DevelopmentProficiency with Node.js, API design, and database systems

System DesignAbility to design scalable, reliable systems and architectural patterns

Product MindsetStrong focus on user experience and product quality with attention to performance

Nice to have

Temporal WorkflowsExperience with Temporal or similar workflow orchestration platforms

GraphQLKnowledge of GraphQL API design and implementation

KubernetesExperience with containerization and Kubernetes deployment

Google Cloud PlatformFamiliarity with GCP services and cloud infrastructure

WebSocket TechnologyExperience with real-time data synchronization and WebSocket protocols

Prompt EngineeringAdvanced skills in prompt optimization and model behavior tuning

Compensation & benefits

Stock options

Available

Benefits

Work-Life Balance

Strong emphasis on maintaining healthy work-life balance in remote environment

Competitive Equity Package

Significant equity compensation with employee-friendly terms including early exercise and extended exercise periods

Remote Work

Fully remote position with no commuting requirements and flexible work arrangements

Co-working Allowance

Paid co-working space or desk at an office for those who prefer collaborative environments

Health Insurance

Comprehensive health, dental, and vision insurance coverage (US employees)

Meal Benefits

Paid lunch and coffee during workdays to support daily productivity

Generous PTO

5 weeks of paid vacation time for rest and personal time

Parental Leave

4 months of paid parental leave for new parents

Team Events

Regular team events, off-sites, and optional co-working opportunities for team building

Professional Growth

Opportunity to work on challenging problems at the intersection of AI and product development

Interview process

1
Work Trial — Linear conducts work trials as part of their hiring process, allowing candidates to demonstrate skills through real project work
2
Technical Assessment — Evaluation of technical skills including AI/ML integration, system design, and coding proficiency
3
Product Collaboration — Assessment of ability to work with product and design teams on user-facing features
4
Cultural Fit — Evaluation of alignment with Linear's values of relentless focus, fast execution, and software craftsmanship
5
Architecture Discussion — Deep dive into system design capabilities and experience with scalable AI infrastructure