You'll design and deliver the agentic AI systems that will define the next generation of product intelligence. You'll create net-new agentic capabilities where AI systems operate independently, analyzing customer signals and competitive movements to generate the insights that product teams base their roadmaps on. You'll work at the intersection of large language models, agentic reasoning, and real-world product decisions, shipping AI capabilities that customers measure their success by.
Location and Work Arrangement
This role is based in our downtown San Francisco office, where you'll collaborate in person with the Insights team on Mondays, Tuesdays, and Thursdays. You will have the option to work from home on Wednesdays and Fridays.
About the Team
Insights exists to unlock the next evolution of product intelligence. We're building AI systems that don't just process customer feedback. They understand context, discover market signals, and autonomously orchestrate insights that shape product strategy.
The team is chartered with moving fast on net-new capabilities. You'll be designing and implementing workflows where AI agents listen to customer voices, synthesize market intelligence from across the internet, and deliver understanding that helps product teams see further and decide faster.
We're a team that spans San Francisco and Europe, anchored by strong in-person collaboration in SF. We move between research-oriented thinking and shipping production systems, building both the science and the product.
What You'll Do
Build agentic workflows that move autonomously. You'll design and implement AI agents that don't wait for prompts. They observe patterns in customer feedback, detect emerging market trends, and initiate analysis that product managers didn't know to ask for. Think: systems that recognize a competitor launch, synthesize customer sentiment about similar features, and surface strategic recommendations before the weekly review.
Push the technical boundaries of what LLMs can do. You'll experiment with cutting-edge techniques in context engineering, RAG architectures, and multi-agent orchestration. When you identify a breakthrough in agentic reasoning or context management, you'll prototype it against real customer data, measure the gains, and ship it to production.
Own the intelligence layer from data to insight. You'll work across the full stack, from ingesting messy, real-world customer feedback and web data, through semantic understanding and entity resolution, to generating insights that directly influence product roadmaps. You'll build evals to measure whether your AI systems actually make product teams smarter.
Shape the product and AI strategy. You'll have a voice in what we build and why. When you see an opportunity to use agentic workflows for competitive intelligence, or identify a research paper that could transform our approach to customer sentiment, you'll have the autonomy to explore it and the platform to ship it.
Collaborate at the edge of possibility. You'll work alongside engineers and product managers who care deeply about the impact. You'll share what you're learning, whether that's a novel approach to context engineering or lessons from a production incident, because we get better faster together.
What You Bring
Hands-on agentic AI experience. You've built AI agents that make decisions and take actions. You're 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. You know that building reliable agents requires rigorous evaluation strategies.
Strong GenAI and NLP foundations. You have deep experience with generative AI and natural language processing. You've worked extensively with large language models, not just calling APIs, but understanding their capabilities, limitations, and how to extract reliable behavior through context engineering. You know how to apply these technologies to real problems that matter.
Practical engineering skills. You're fluent in Python and the AI/ML ecosystem, including libraries like Anthropic's SDK, OpenAI, Hugging Face, vector databases, and embedding models. You understand how to design scalable backend systems, work with APIs, build event-driven architectures, and deploy AI capabilities that handle production load. You write code that others can build on.
Product intuition. You think in terms of outcomes, not just implementations. When you build a feature that analyzes customer feedback, you're asking: "Does this actually help product managers make better decisions?" You can talk to users, understand their workflows, and translate that into technical architecture.
Collaborative technical leadership. You communicate complex ideas clearly, whether you're explaining why a particular RAG architecture will solve a latency problem or helping a teammate debug a stubborn prompt. You thrive in cross-functional environments where you're bridging AI research, product strategy, and user needs.
Nice to Have
Background in information retrieval, knowledge graphs, or competitive intelligence systems
Experience building multimodal AI systems that synthesize understanding from text, voice, and image data for product intelligence
Contributions to open-source AI/ML projects or publications in ML conferences
Experience building evaluation frameworks and measuring AI system quality
Familiarity with web scraping, data synthesis, or multi-source intelligence gathering
Previous work in product management tools, B2B SaaS, or developer platforms
Why Productboard
You'll be joining a company where AI isn't a buzzword. It's the strategic bet. Productboard is a $1.7B Unicorn trusted by companies like Microsoft, Zoom, and UiPath to power their product decisions. Our platform is already where product teams live; now we're building the AI layer that transforms how they work.
We're revolutionizing product management with AI-powered capabilities that understand customer needs and accelerate decision-making. Productboard Pulse provides executive-level visibility into the voice of the customer, surfacing valuable insights at scale from feedback across every source. Productboard Spark is our specialized product management agent that helps teams move from rough ideas to comprehensive, delivery-ready specifications by tapping into context about products, customers, and business goals. You'll be working on the cutting edge of these capabilities, pushing what's possible with agentic AI.
This role offers something rare: the chance to build genuinely novel AI capabilities with real users who will measure their impact. This is core AI systems work with direct product impact. You're building systems that help product teams understand markets, synthesize customer needs, and make decisions that shape products used by millions.
You'll have access to real-world customer feedback at scale, internet-discoverable market data, and the freedom to explore how agentic AI can transform it into strategic intelligence. The technical problems are hard, the product surface area is unconstrained, and the impact is measurable.
We're global, spanning San Francisco to Prague, but locally rooted. In SF, you'll have the in-person collaboration that makes ambitious technical work move faster, with the flexibility to focus when you need it. You'll work with people who care about craft, who push each other to think bigger, and who ship.
Ready to build the future of product intelligence? If you're excited about pushing the boundaries of what agentic AI can do and seeing product teams transformed by what you build, let's talk.
The Offer
Competitive compensation, stock options, company 401k
A budget for your professional development and ongoing learning
1 Volunteer Day per year for you to help causes close to your heart
8 weeks of Paternity leave and 12 weeks of Maternity leave
Mental Wellness Program to support your well-being and self-care
Company contribution to gym and wellness memberships
Commuter benefits
Company contribution and access to best-in-class health benefits and your own Soulmio membership
Hone – Live, interactive learning programs for managers, leaders, and teams
The expected base pay range for this position in the San Francisco area is $173,520 - $278,400. In addition to the base pay, this role is eligible for competitive equity awards and benefits. Productboard's pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future.
