Productboard

HQ
San Francisco
Total Offices: 5
246 Total Employees
112 Product + Tech Employees
Year Founded: 2014

Productboard Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers company equity

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers mental health benefits

Offers generous parental leave

Provides fertility benefits

Career Growth + Development

Provides customized development tracks

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Offers paid volunteer time

Provides paid sick days

Offers gym membership

Company Culture

Offers a remote work program

Provides free snacks and drinks

Recently posted jobs

Artificial Intelligence • Information Technology • Productivity • Software • Analytics
Build and lead full-stack growth features across onboarding, monetization, retention, and AI-driven experimentation. Own architectural direction for AI-first product engineering, including agent workflows, scalable codebases, API contracts, documentation, and evaluation systems. Partner with product, design, and data teams to validate ideas quickly, measure outcomes, mentor engineers, and improve learning velocity.
2 Days AgoSaved
Remote or Hybrid
28 Locations
Artificial Intelligence • Information Technology • Productivity • Software • Analytics
Build and modernize Productboard’s frontend platform, migrating its legacy design system to Spark UI. Design AI-ready module boundaries, API contracts, documentation, and agent workflows involving tool use and autonomous execution. Develop high-performance React applications, validate experiments with users, collaborate with product and design teams, own features through production, mentor engineers, and share engineering knowledge across the organization.
2 Days AgoSaved
Remote or Hybrid
28 Locations
Artificial Intelligence • Information Technology • Productivity • Software • Analytics
Lead Developer Experience engineering and AI-native architecture initiatives. Build Kotlin services, Go internal tooling, developer platforms, CI/CD improvements, observability, reliability guardrails, and self-service workflows. Establish AI-ready codebase standards, context infrastructure, agent workflows, and AI code-review optimization. Partner across teams, define and measure developer-experience metrics, validate solutions with users, and promote product-minded engineering practices.