Head of Product - AI/ML Product Management

captur United Kingdom
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AI Summary

Captur is hiring a Head of Product to lead the development of their AI/ML product. The ideal candidate will have experience in product management, leadership, and AI/ML product development.

Key Highlights
Define and communicate the product vision and strategy
Own the full product lifecycle and be accountable for product outcomes
Hire and onboard a Product Manager and mentor them
Design experiments that measure monetizable outcomes
Partner with Data and ML to validate metric integrity
Technical Skills Required
AI/ML Product Management Leadership SDK/Developer-facing experience Machine Learning Data Analytics
Benefits & Perks
Competitive salary
Remote work
Visa sponsorship
Relocation package

Job Description


Captur helps software understand real world scenes in real-time with an SDK for flexible, on-demand visual recognition. We’re a small, rapidly scaling team backed by top-tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time speed, high volume and coverage across a wide range of mobile devices.

Role Snapshot

We’re hiring a hands-on Head of Product — the solo product lead today, with a Product Designer reporting to you. You’ll own the roadmap, ship high-impact SDK features, design pilots, build repeatable product processes and recruit our first PM. You’ll work closely with Sales/CS/Engineering and be the product voice for customers. This is a rare chance to scale a product function from the ground up and directly influence ARR. This role reports directly to the CEO (based in New York) — expect fast decisions, visible impact and a close partnership with the founder. The ideal candidate will have a strong background in product management, excellent leadership skills and a proven track record of bringing successful AI products to market.

Key Responsibilities

  • Product Strategy & vision (30%)
    • Define and communicate the product vision and strategy working alongside the CEO
    • Collaborate with Machine Learning, Engineering, Data Analytics and Commercial teams to gather and prioritise product requirements in order to achieve the company strategy and goals.
  • Roadmap development & execution (30%)
    • Own the full product lifecycle: you’ll be our sole product lead day-to-day and accountable for product outcomes.
    • Ship reliably: write concise, testable specs and acceptance criteria, enforce ticket hygiene, unblock Engineering, publish release notes and run short post-release reviews (PRRs) to validate outcomes.
    • Make pilot outcomes measurable: define success metrics, ensure tracking is in place before launch and own the dashboards that show results.
  • Org build & hiring (15%)
    • Hire, onboard and mentor the first Product Manager (target end of Q2); create the PM JD, interview plan and a 30/60/90 onboarding.
    • Line-manage the Product Designer and set core product rhythms (1:1s, planning cadences).
  • Experimentation & measurement (15%)
    • Design experiments that measure monetisable outcomes (conversion, pilot → paid, ARR influence). Own hypothesis, experiment design and go/no-go decisions.
    • Partner with Data & ML to validate metric integrity and translate experiment results into commercial recommendations.
  • GTM partnership & pilots (10%)
    • Design convertible pilots with Sales/CS: define success criteria and deliver the evidence pack (dashboard, playbook & acceptance tests). Product owns the evidence pack; Sales/CS own negotiation and contracting.
    • Act as product sponsor on strategic pilots to remove technical blockers and shorten time-to-value.
What Success Looks Like (First 6 Months)

  • 30 Days: Stabilise and prioritise
    • Rapidly map the product surface, backlog, active pilots and outstanding technical debt; meet customers and Sales to surface urgent blockers.
    • Deliver a 30/60/90 plan to the CEO that includes one priority revenue experiment and a pragmatic triage of the top 5 product issues to fix immediately.
    • Establish immediate visibility: a one-page dashboard for the CEO showing the top metric(s) for active pilots
  • 60 days: Deliver quick wins and start product rhythms
    • Ship 1–2 high-impact fixes or small features that demonstrate clear business value or shorten pilot time-to-value.
    • Put in place the minimum viable product rhythms (weekly planning, weekly sync, short PRR checklist) and enforce them for the team.
    • Ensure instrumentation is in place for any live pilots and that the evidence pack template is used.
  • 90 days: Codify process and hire:
    • Own a pilot/feature with a validated outcome (go/no-go) and a recommended roadmap change.
    • Codify at least three lightweight process artifacts the team uses (e.g. scoping template, release checklist, decision log).
    • Deliver the PM hiring spec and a shortlist plan; begin interviews for the first PM
  • 6 months: Repeatable cadence & handoff readiness
    • Product rhythms are running consistently and the team adheres to the decision log.
    • Multiple validated experiments and an evidence-pack library for pilots.
    • Demonstrable product contribution to pilot → paid or clear ARR influence.
    • First PM is onboarded with clear handoff routines and onboarding plan in place.
Example Success Metrics: Incremental ARR influenced, ACV uplift, experiment velocity, median time-to-value for pilots.

Core Requirements

  • Typically 7+ years’ product management experience shipping enterprise AI/SaaS features, ideally at fast-moving startups (Series A–C); we prioritise scope and outcomes over exact years.
  • Proven solo product leadership — you’ve been the primary product lead on a product area and have hired or mentored PMs.
  • Hands-on SDK / developer-facing experience — shipped SDKs/APIs (iOS, Android, React Native), sample apps, docs and integration guides.
  • Experience shipping ML/AI features to production; you understand model outputs, evaluation and basic monitoring.
  • You write short, testable specs, enforce ticket hygiene and own acceptance criteria.
  • Commercial orientation — you’ve supported pilots with measurable commercial outcomes (conversion, ACV, trial → paid).
  • Excellent communicator; comfortable reporting to a product-focused CEO and working asynchronously across time zones.
  • Based in the UK (London preferred) and able to work from our London office at least 1 day per week. Skilled Worker sponsorship considered for exceptional candidates.

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