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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing complex products within full-stack teams, leveraging data analysis to drive business outcomes and ensure operational effectiveness in live systems. Possesses strong communication skills and a deep understanding of AI and ML applications in high-growth environments.
Highest-signal resume keywords
ML-Literate Product ManagementData Analysis for Product ValidationExperience in High-Growth EnvironmentsOwnership of Complex Product AreasUnderstanding of Regulated Industries
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product ManagementData AnalysisMachine LearningForecastingComplex Product OwnershipOperational Risk ManagementEdge Case DesignAI LiteracyTechnical CommunicationPrototyping
Soft Skills
Structured CommunicationInstinct for Failure PointsProblem-Solving
Industry Keywords
FintechEnergyData-Heavy ProductsInternational ExpansionThird-Party Access
About the role
Key responsibilities & impact- 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, so delivery keeps moving at pace, with a clear Now, Next and Future for the initiatives you own.
- Take initiatives from discovery through to regularly released product, with a clear Now, Next and Future for a given area.
- 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.
- Pull and interrogate your own and others' data to influence and inform decisions, and reason about model performance and error as business indicators.
- 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.
Requirements
What you’ll need- A technically strong, ML-literate product manager who has worked embedded in full-stack teams that include ML and data science (MLEs, MLOps, DEs and DAs).
- Owned at least one complex product area end to end, with a track record of moving real business outcomes, not just shipping features.
- Uses data analysis throughout the product process, to validate ideas, progress work, and measure success.
- 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.
- Bonus points: Experience in energy, fintech or another domain where ML is mission-critical, and/or where forecasting or fulfilling a two-sided marketplace is central to the product.
- Experience going through a third-party-access and/or international-expansion transition.
- Experience with regulated industries and data-heavy products.
Benefits
Comp & perks- Competitive salary - our current band for this role is £85,000 or equivalent in local currency.
- We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level.
- Stock Options - everyone on the team has ownership in our mission.
- 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday 🎉.
- Remote & flexible working - We’re fully remote with clear core hours, and no internal meetings on Friday afternoons.
- Home working & wellbeing budgets:
- Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.).
- Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps.