Jobs at Productboard

Own the core product experience for roadmapping, prioritization, and customer engagement. Set strategy, roadmap, metrics, and AI-first workflows; determine how Spark integrates with structured product interfaces; lead cross-team initiatives; partner with engineering on platform foundations; prototype using AI coding tools; engage customers; and mentor PMs. The role requires deep enterprise B2B SaaS, agentic product, systems thinking, research, information architecture, and technical product leadership experience.

Own the enterprise AI stack for Productboard Spark, including permissions, audit, usage limits, model routing, BYOM, automation, and governance. Define strategy and roadmap, translate enterprise customer needs into scalable product capabilities, lead cross-functional initiatives, establish success metrics, prototype with AI coding tools, and support enterprise rollouts. The role requires deep experience shipping agentic AI products, enterprise B2B SaaS, governance controls, and large-scale customer deployments.

Own the strategy, roadmap, quality, and end-to-end customer experience for Productboard Spark’s AI Insights and agentic product capabilities. This includes designing agent behavior, data and retrieval pipelines, evaluation frameworks, interactive outputs, and product metrics. The role requires hands-on prototyping, analysis of model traces and evals, customer research, cross-functional leadership, and mentoring PMs while partnering closely with the founders.

Own Productboard’s product-wide UX and interaction architecture for its AI-first product. Define patterns for agentic workflows, structured UI, generated artifacts, navigation, and object models; establish design standards and language; raise usability and coherence across teams; lead critiques and mentor designers; and personally design complex foundational experiences. Prototype in code using AI tools, validate with users, and partner with Product, Engineering, and executives to guide product direction.

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.

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.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

As a Senior Backend Product Engineer, you will develop backend systems, enhance user experiences, collaborate with cross-functional teams, and ensure AI integration in product development.

The role involves building AI-ready web applications, collaborating with product managers and designers, and improving workflows based on user feedback.