Hey! We're team Granola 👋
We're a deeply product-led company building one of the few breakout AI-native tools that people genuinely love using. As we scale, we’re looking for a Product Manager who’s excited to work at the edge of what’s possible with AI and help shape how people collaborate with it to think and work better.
Granola isn’t just about meeting notes. We have an ambitious vision for how AI can extend the way people think, write, and share ideas. You’ll work closely with our cofounders to invent and ship user-facing features powered by large language models — from smart editing and follow-ups to deeper semantic understanding and proactive workflows.
You don’t just work with LLMs — you get a kick out of what they can do. You follow the latest developments, enjoy tinkering with prompts, and think deeply about how to turn fuzzy output into clear user value.
This is a role for someone who’s obsessed with the product experience and excited to shape what being an AI-native tool really means.
Own AI-powered product features from concept through launch
Collaborate closely with engineering and design to ship fast, user-centred iterations
Work directly with LLMs, prompts, embeddings, and vector search systems
Identify and shape new opportunities to use AI to improve the product
Help define Granola’s approach to human-AI collaboration and UX patterns
Design feedback loops to improve AI performance and reliability
Balance product ambition with technical feasibility and model constraints
Stay close to the latest in AI research and tools, and help apply them thoughtfully
AI product experience: You’ve worked on products where AI or LLMs are a core part of the user experience
LLM familiarity: You understand how to work with prompt systems, hallucination trade-offs, and AI capabilities and limits
Fast-paced execution: You’ve shipped features quickly in a startup or similarly ambiguous environment
Cross-functional collaboration: You’ve worked closely with engineers and designers to shape and build great products
Product intuition: You know when AI will genuinely improve the experience and when it adds unnecessary complexity
User-led mindset: You care deeply about delivering value and clarity to real users, not just shipping technical demos
Curious and product-minded: You reverse-engineer great experiences and think deeply about what makes them work
Technically fluent: You can work through AI constraints and trade-offs without needing to be an ML engineer
Calm and pragmatic: You can move quickly without cutting corners, and you know when to reduce scope to ship
Collaborative and low-ego: You value input from others and care more about the outcome than being right
Excited by ambiguity: You like solving open-ended problems and helping define new categories