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Technical Product Manager, AI Systems

Summary

This technical product manager role involves building a new AI-driven voice and text application from the ground up, working directly with the founder and engineering team to define system requirements and manage model performance. The position requires deep technical expertise in LLMs, system design, and hands-on product execution within a global, remote-first startup environment.

Technical Product Manager, AI Systems


Futureheads have exclusively partnered with a fully-funded, early-stage AI startup on a mission to fix one of the most outdated parts of everyday life: how we communicate. They're building a genuinely new kind of voice and text application - proactive, intelligent, and actually useful, not another chatbot. Think "Cursor for All."


Backed by a hugely successful, profitable financial services group with a presence across five global markets and zero external funding, and with $100m already committed, they're now building a founding team of ~15 world-class people from scratch, working globally from day one. This is a rare shot at real founding-team equity, working directly with the Founder/Technical Lead, on a product with genuine global ambition.


The Role


This is a deeply technical, hands-on Product role sitting right at the intersection of AI capability, engineering reality, and real user needs. You'll work directly with the Founder/Technical Lead and sit shoulder-to-shoulder with ML and backend engineers - wrestling with trade-offs between quality, latency, cost and reliability, and turning genuinely hard problems into product decisions that ship. You won't be writing specs from the sidelines.


Day to day, you'll:


  • Define end-to-end AI system requirements - from model capability through to real user impact
  • Translate evaluation results and data constraints into clear product and engineering decisions
  • Build and evolve evaluation frameworks across offline metrics, live experiments and human feedback
  • Work shoulder-to-shoulder with ML, backend and mobile engineers on system design and iteration
  • Own product quality end-to-end: correctness, predictability, and user trust
  • Drive execution through sharp specs, strong judgement, and relentless prioritisation


What They're Looking For


This isn't a role for someone who wants to manage a roadmap from a distance. They want someone who can genuinely go deep - technically fluent, comfortable with ambiguity, and hungry to build something from zero.


You'll likely have:


  • A strong grounding in CS fundamentals - algorithms, data structures, system design
  • Solid ML fundamentals and a real understanding of how AI systems behave in production
  • Hands-on experience with LLM-based products, model evaluation, and prompt/pipeline iteration
  • A sharp intuition for where models break - hallucination, bias, drift - and how to design around it
  • A track record owning complex, technical products end-to-end, working closely with senior engineers
  • The judgement to make good calls fast, in a fast-moving, still-being-defined environment


Nice to have: experience shipping AI-heavy consumer products, a background as an engineer or highly technical PM, or prior zero-to-one experience.


Just as important as the CV is the mindset. This team looks for what they call the "7H traits": Head (real intellectual horsepower), Hands (builder, not just strategist), Hustle (thrives on fast-moving, evolving problems), Humility (honest and direct), Heart (genuinely passionate), Hunger (internally driven, works hard because they want to), and Habits (self-organised and disciplined). What matters most is substance over pedigree - proven, hands-on depth counts for more than a big-name logo on the CV.


The Practical Bits


  • Location: Fully remote - work from anywhere, all year round
  • Team: Joining a founding team of ~15, reporting directly to the Technical Lead/Founder
  • Compensation: Uncapped for the right candidate. Cash and equity combined, with genuine founding-team equity upside - this is not a role with a salary ceiling
  • Process: 3–4 interviews, with a fast, transparent decision at the end


This kind of opportunity - real budget, real equity, real influence, at the ground floor of a genuinely ambitious AI product - doesn't come around often. If that's you, let's talk.

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