Dragonfly - Technical Product Manager
Responsibilities
• Focusing on the "slow things" that let the team move fast: the decisions, definitions, and direction that engineers shouldn't need to stop for • Participating in two-week sprint cycles, with a target of one-week sprints: thinking one sprint ahead while the current one is in flight, enabling fast feedback loops without pulling engineers into every conversation • Leading strategic sessions: clarifying what's been decided, preventing the team from revisiting settled questions, and defending product direction under pressure • Defining what good looks like from a user's perspective: if the product suggests Datadog alternatives, you know whether that list would make a senior buyer trust it or dismiss it, and you use that judgment to shape what we build • Shaping how our intelligence agents reason: what they should weigh, surface, and present • Being the team's deepest source of user understanding: through genuine ongoing proximity to the people who buy and use these products, not periodic research sprints • Working with a generative product surface: the product composes interfaces from data and AI on demand; you define what users need to understand, not what the screen should look like • Helping set the foundational design guardrails the team can build within: working with our designer to move from pixel-level decisions to principles that scale • We are looking for someone who • Has a technical background, ideally a degree in Computer Science, Engineering, or equivalent. Fully fluent in how software is built: you understand what's happening under the hood and never create noise by asking what you could find yourself • Reaches for internal documentation, agents, and tooling first. Self-reliance isn’t a preference here, it’s the baseline • Has already taken a product idea as far as it will go on their own, built a prototype, shipped a side project, entered a hackathon (without waiting to be asked) • Thinks in components and generative interfaces, not fixed screens and wireframes • Can look at a product comparison and immediately articulate what’s useful, what’s missing, and what would make a senior buyer trust it • Makes and defends product direction decisions: doesn’t just synthesise, but takes a position and holds it • Is comfortable moving fast with imperfect information; knows validation is cheap and acts accordingly • You won’t code day-to-day, but you need to understand what’s happening under the hood and be comfortable working directly alongside the systems that power the product. • Frontend TypeScript · Next.js + React (App Router, RSC) · Shadcn UI, Radix UI & Tailwind CSS • Data BigQuery · Dataform · Cube.js · Superset · Algolia / Vertex AI Search · PostgreSQL • Infrastructure & DevOps Google Cloud Platform · Pulumi · GitHub Actions · Firebase · Cloudflare • AI & Machine Learning Python · BAML · Vertex AI · Autonomous engineering agent (ships production code daily) • AI Dev Tools Cursor · Claude
Benefits
• Competitive salary and meaningful equity package • 30 days’ annual leave, plus 8 bank holidays • Private health insurance • Direct access to founders and an experienced, mission-driven team • Creative freedom and a high-trust environment focused on outcomes over process • Hybrid setup with weekly in-person collaboration in Clerkenwell (3x / week)
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