Product Manager
Indexed description
We're looking for an AI Product Manager to join our product team and help shape the next generation of AI developer tools. This is a high-impact role for someone who thrives at the intersection of technical depth, user empathy, and product thinking. This role is ideal for someone who has worked on technical or developer-facing products, is deeply customer-oriented, and is comfortable rolling up their sleeves when needed.
- Own the product lifecycle for one or more product areas — from ideation and requirements through delivery and go-to-market enablement
- Spend significant time with customers: conducting discovery interviews, understanding pain points firsthand, and translating insights into product decisions
- Work closely with R&D teams on a daily basis — participating in technical discussions, helping shape architecture trade-offs, and ensuring the team has clear, well-defined requirements
- Enable the sales and customer success teams with the knowledge, materials, and positioning they need to land deals and drive adoption
- Define and validate product opportunities through customer research, data analysis, and competitive intelligence
- Translate complex technical concepts into clear product requirements and crisp user stories
- Drive cross-functional alignment across engineering, design, sales, and customer success to ensure launches land well
- Establish and track success metrics, running experiments and iterating based on evidence
- Be the voice of the developer — obsessively understanding how developers work, what they struggle with, and where AI can genuinely help
- 3+ years of product management experience, ideally in a startup environment
- Technical background — either through a software engineering background, hands-on development experience, or meaningful experience working on technical products such as developer tools, infrastructure, or APIs
- Deep customer orientation — you've spent real time with customers, you know how to uncover pain points, and you can turn those conversations into product direction
- Proven ability to own a product end-to-end: not just writing specs, but driving the full cycle from idea to launch to adoption
- Strong technical foundation — you can read code, understand system architecture, and have meaningful conversations with engineers without needing a translator
- AI Mindset, you’re comfortable adopting AI tools and being in the bleeding edge, you’re constantly looking for ways to become more productive with AI
- Data-driven mindset — you know how to instrument a product, design experiments, and use data to sharpen decisions
- Exceptional communication skills — you can write clearly, run tight meetings, and influence without authority
- Startup DNA — comfortable with fast iteration, shifting priorities, and wearing multiple hats
- Experience working on B2B or enterprise products
- Experience with AI/ML products is a strong plus — especially familiarity with LLMs, code generation, or developer productivity tooling
- You've shipped products that integrate with IDEs, CI/CD pipelines, or code review workflows
- You have experience with PLG (product-led growth) motion
- Background in software engineering or experience as a technical lead
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