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Productboard is looking to define the next generation of product intelligence by designing and delivering agentic AI systems that can independently analyze customer signals and competitive movements to generate insights for product teams.

Requirements

• Hands-on agentic AI experience.
• Built AI agents that make decisions and take actions.
• Familiar with frameworks like LangGraph, AutoGen, or CrewAI, and you understand the challenges of agentic control flow: error handling, state management, when to give agents autonomy versus guardrails.
• Know that building reliable agents requires rigorous evaluation strategies.
• Strong GenAI and NLP foundations.
• Deep experience with generative AI and natural language processing.
• Worked extensively with large language models, not just calling APIs, but understanding their capabilities, limitations, and how to extract reliable behavior through context engineering.

Responsibilities

• Build agentic workflows that move autonomously.
• Push the technical boundaries of what LLMs can do.
• Own the intelligence layer from data to insight.
• Design and implement AI agents that don't wait for prompts.
• Experiment with cutting-edge techniques in context engineering, RAG architectures, and multi-agent orchestration.
• Ingest messy, real-world customer feedback and web data, through semantic understanding and entity resolution, to generating insights that directly influence product roadmaps.
• Build evals to measure whether your AI systems actually make product teams smarter.

Other

• Shape the product and AI strategy.
• Collaborate at the edge of possibility.
• Product intuition.
• Collaborative technical leadership.
• The expected base pay range for this position in the San Francisco area is $173,520 - $278,400.