Senior Product Manager, tem

• A product manager with real product execution behind them: owned at least one complex product area end to end, with a track record of moving real business outcomes, not just shipping features
• Commercial drive. You set the pace for yourself and the people around you, push decisions to a close, and go after revenue and margin. You want to win, and it shows in how you work
• Experience in or around trading. Energy trading is the ideal, but financial trading, fintech, battery or EV trading all count - you understand positions, hedging and what it means for a system to carry live financial risk
• Uses data analysis throughout the product process, to validate ideas, progress work, and measure success
• ML-literate: has worked closely enough with ML and data science to make good calls on model-led products, and can reason about model performance and error as business indicators
• Built product in a startup, scaleup or other high-growth environment, with high personal ownership of an area
• A strong instinct for failure points, edge cases and the operational reality of a live system
• AI-native, AI-literate and AI-critical - you know where it helps and where it hurts
• A clear, structured communicator, especially in writing
• If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for

Desirable

• We're hiring a Senior Product Manager, Rosso
• This is the second product manager on Rosso, reporting into the Rosso Product Lead. Rosso is deeply technical, built on ML-led models and complex engineering covering forecasting, pricing optimisation and portfolio balancing, so this is a role for a technically-minded PM who's happiest closest to the hardest problems
• You'll work on complex, important problems as they arise across the Rosso product surface, alongside the other PM on the team, rather than owning one fixed patch. In the near term that means the portfolio area: fulfilling and balancing a growing two-sided portfolio, managing imbalance, and finding the revenue and margin in every position we hold. It's still forming, it carries live financial risk, and it needs someone who wants to win in it
• Take business and customer needs and turn them into feasible, shipped product, working closely enough to the ML and forecasting work to make good calls on it
• Own the technical-product detail, setting clear success criteria for how well a model or forecast needs to perform, and designing for the edge cases and operational reality of a system carrying live financial risk
• Drive open product decisions to a close - yours and the team's - so delivery keeps moving at pace, with a clear Now, Next and Future for the initiatives you own
• Take business and customer needs and turn them into feasible product execution, balancing them against nascent ML and forecasting innovations that push the frontier of what's possible
• Take initiatives from discovery through to regularly released product, with a clear Now, Next and Future for a given area
• Drive open product decisions to a close, so work keeps moving
• Decide what to formalise, what stays a prototype and what to drop - be the editor and builder, not just the instigator
• Work embedded in full-stack teams that include ML/data science and software engineers, close enough to the models to make good calls
• Set clear success criteria for how well a model or forecast needs to perform for the product to work, and design for the edge cases and operational reality of a system that carries live financial risk
• Pull and interrogate your own and others' data to influence and inform decisions, and reason about model performance and error as business indicators
• Get close to the people who use what you build, from internal commercial teams to generators and businesses externally
• Concentrate, in the near term, on the portfolio area while it's still forming, without that becoming a permanent boundary on where you work
• Treat hedging, imbalance and trading decisions as product decisions: when to hold a position, when to trade it out, when to reprice to close a gap in the portfolio
• Find the tangible and most pressing problems worth solving - such as whether to buy or build a new forecasting capability, or how to ensure Rosso reacts at scale to any event in the system
• Chase the commercial outcome, not just the shipped feature - the measure of this role is margin found and risk managed, at pace

• Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required
• First call with our Talent Team (30 Mins). This is to understand your experience, motivations, and discuss the role in more detail
• Behaviour Interview with our Product Lead (45 Mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working
• Technical Interview with the Team (75 Mins). You’ll meet with potential peers to discuss how you drive product execution, work closely with ML and engineering teams, and think through real product scenarios - built around a real product decision shaped by a model or forecast, so we're testing on proof, not assertion
• Bar Raiser Interview with Stakeholders (45 Mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it’s really like to work at tem