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Currence is an AI-native market intelligence company focused on accelerating the global energy transition. The company combines AI speed with expert research to provide proprietary insights that drive modern investment decisions in the energy sector. Headquartered in London and New York, Currence builds a comprehensive data engine that powers market intelligence for the clean energy ecosystem.
You'll join a product-focused engineering team of AI and full-stack engineers in a hands-on startup environment. This role requires wearing multiple hats: writing product specs with engineers, collaborating with analysts to understand their needs, and building release plans with the commercial team.
Key responsibilities include:
- Own and prioritize the roadmap for the core data product, making strategic decisions on which datasets unlock the most value for customers
- Define how data is structured, surfaced, and made accessible across the platform to accelerate product development and improve user workflows
- Make data sourcing decisions based on value and access considerations
- Work cross-functionally to understand how data is used, help build GTM materials, and maximize impact
- Prototype rapidly with messy datasets when needed, building conviction through hands-on exploration before committing engineering resources
- Track and define the metrics used to measure success
- Work with stakeholders to unblock decisions and keep scope honest
- Own data quality by defining standards with engineering and research teams
- Run user research, bringing customer and sales feedback into prioritization
The role is based in London with 3 days per week in the office in Farringdon. This is a full-time position offering stock options, 25 days annual leave plus bank holidays, and the opportunity to work in a climate-focused tech startup.
Requirements:
- 3+ years as a product manager on a technical or data-heavy product, working directly with engineers
- Familiarity with LLM or agent-based pipelines and how to evaluate them
- Comfortable with data: can write SQL, read a schema, and visualize a data pipeline
- Track record of taking a product from user problem to shipped release
- Strong written communication across technical and commercial audiences
- Desire to work in a small, fast-moving team with high ownership and impact
Plus factors:
- Experience with a B2B data or market intelligence product
- Prior experience as an engineer, analyst, or data scientist
- Working understanding of energy and climate tech sectors
