Technical Product Manager

Dragonfly; Greater London; On-site; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Equity

Private health insurance

Direct access to founders

Creative freedom

Hybrid work in Clerkenwell

Job summary

Dragonfly in London is assembling an early-stage AI-focused platform. You’ll drive product direction, shape generative interfaces, and own decisions that let engineers move fast without constant handholding.

You’ll experiment with prototypes, work closely with AI tooling, and push for user-centric, data-driven outcomes in a hybrid setup. This role is for someone who ships tangible product work early and often.

Qualifications

• Has a technical background and understands how software is built.
• Reaches for internal documentation, agents, and tooling first.
• Is AI-native and uses AI tooling to ship prototypes.
• Has taken a product idea to prototype or shipped a side project.
• Thinks in components and generative interfaces, not fixed screens.
• Can articulate usefulness and gaps in product comparisons.
• Makes and defends product direction decisions.
• Comfortable moving fast with imperfect information and validation is cheap.

Responsibilities

• Focus on decisions, definitions, and direction that engineers shouldn’t need to halt for.
• Participate in two-week sprints with a one-week sprint cadence.
• Lead strategic sessions and defend product direction under pressure.
• Define user-centric success criteria and shape what the product should surface.
• Shape how agents reason and surface relevant data for users.
• Maintain close, ongoing user understanding rather than periodic research sprints.
• Define the generative product surface and determine what users need to understand.

Skills

Technical background

AI-native mindset

Prototype building

Decision making

Education

CS/Engineering degree

Tools

AI tooling

Prototype tools

Job description

_ IMPORTANT: This isn’t a traditional product manager role. If your first instinct when you have a question is to ask an engineer, this isn’t for you. If you measure yourself by features shipped or ceremonies run, this isn’t for you._

But if you’ve built your own AI agent to scratch a personal itch, shipped a side project using Lovable or Cursor just to see how far you could take an idea, or read a product spec and immediately rebuilt a prototype before anyone asked you to, then we should talk.

About Dragonfly

Have you ever wanted to build something that doesn’t just improve the status quo, but makes it 100x better? Not just a small step forward, but a complete reinvention. That’s what we’re doing, and we need the best people to help us make it happen.

We’re an early-stage start-up out of London working at the intersection of system design, cloud infrastructure and AI to accelerate the adoption of modern tools and technologies. Our goal is nothing less than to enable businesses of all sizes and shapes to leverage best-of-class technologies and latest advancements in GenAI, including agentic frameworks.

We’ve recently launched our product, having raised a hefty pre-seed fund from Tier 1 investors with additional contributions from some awesome angels to bring the vision to life. We are now in delivery mode and have already partnered up with 20+ world-renowned brands to bring the product to the market.

Sounds exciting? This is a rare opportunity to join at the earliest stage and help build the foundations of a generational product.

What you’ll be doing

• 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

• Staying at the frontier of AI-powered product development: trialling new tools and techniques, evangelising what works, and raising the bar on what fast looks like. This is a core responsibility, not a nice-to-have

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

• Is AI-native, not occasionally, but as default. Claude Code, Cursor, Lovable, and similar tools are how you work. You build prototypes before meetings, validate hypotheses without pulling in engineering, and move faster because of it. If you’re not already using AI tooling daily to ship real work, this isn’t the right role

• 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

Our stack

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

What we offer

• 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)

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.