Technical Product Manager

Dragonfly

Technical Product Manager at an early-stage startup in London focusing on AI. Driving product direction and user understanding within a hybrid work model.

Posted 7/27/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates a strong understanding of AI-powered product development, user-centric design, and the ability to lead strategic sessions while making informed product direction decisions. Proficient in building prototypes and validating hypotheses independently, leveraging generative interfaces and AI tools.

Highest-signal resume keywords

AI-NativePrototypingUser UnderstandingProduct Direction Decision-MakingGenerative Interfaces

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Computer Science DegreeEngineering DegreePrototypingUser-Centric DesignProduct Comparison AnalysisComponent ThinkingGenerative Interfaces

Soft Skills

Strategic LeadershipDecision-MakingSelf-RelianceFast Feedback Loop Facilitation

Tools & Technologies

Claude CodeCursorLovable

Industry Keywords

AI-Powered Product DevelopmentUser UnderstandingDesign GuardrailsFast Feedback Loops

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

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)