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London (hybrid) · £80,000 + EMI equity options
Alteam partners with founders to build the teams that get them to product-market fit. We're hiring on behalf of a VC-backed LLM startup — founded by a serial entrepreneur and a leading AI researcher. Their first product analyses production agent workflows and gives enterprises the evidence to replace expensive LLM-based calls safely with cheaper alternatives.
Why now
- They're pre-product-market-fit, funded, and ready to hand product decisions to one person.
- For your first three months, you drive strategy with the founders as final decision-makers while you build context.
- After that, roadmap, scope and priorities are yours.
- Founders keep commercial strategy and scientific direction.
- Growth path toward Head of Product / CPO as the company scales.
- What you decide is what gets built — and you'll watch it land with real enterprise customers within weeks.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The role
Reporting to the CEO, you own product strategy: what gets built, changed or stopped.
- Own the roadmap and be accountable for the outcomes.
- Talk to customers directly; turn insight into testable hypotheses.
- Run the cadence between Product, Science and Engineering — priorities clear, decisions made, work closed.
- Prototype fast, then ship validated ideas with Engineering.
What we're looking for
- Several years in product with real 0→1 experience — founding PM, early-stage lead, ex-founder, or technical consultant who owned what got built.
- Deep AI fluency: LLM APIs, agentic systems, evaluation, traces, production failure modes. You hold the room with Science and Engineering. Formal AI education is a bonus; lived experience with agentic AI matters more.
- Hands-on customer discovery or user research.
- Product-first, with hands-on prototyping (e.g. Python) a strong plus.
- Comfortable taking ambiguous problems to evidence-backed decisions without needing consensus on every call.
- Enterprise AI deployment, evaluation or observability experience is a plus.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
You listen before proposing solutions, and you change your mind when the evidence changes. You want real authority — and you're comfortable owning the failures as well as the wins.
Apply through Alteam, and we'll tell you exactly who they are. For a successful application, we recommend a short cover letter (we can tell if you used AI), sharing your portfolio, and including practical use cases. It's a very competitive role; you need to stand out!
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