Location: London (3 days per week in the office in Farringdon, London)
Job Type: Full-time
The Company
Currence aims to move the world towards a cleaner, cheaper and faster energy ecosystem. We are an AI-native market intelligence company, looking at the energy build-out, which combines the speed of AI with the trust of expert research.
Our core product consists of a data engine which builds a comprehensive view of the market. This feeds into models and frameworks built by our analysts to create proprietary insights which drives modern investment decisions, pushing us closer to a more efficient energy ecosystem.
We're headquartered in London and New York.
The Team
You'll join our product-focused engineering team of AI and full-stack engineers who build and run the data engine.
This is a hands-on role in a start-up environment. You'll wear many hats: writing specs with engineers, sitting with analysts to understand what they need, and building release plans with the commercial team.
The Role
You'll own the roadmap for our core data product and make sure what we build lands with the people who use and sell it. The kind of problems you'll cover include:
Own and prioritise the roadmap for our data engine, 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 what value and access
Work across function to understand how we use data, help build GTM material, and maximise our impact
Prototype rapidly with messy datasets when needed, building conviction through hands-on exploration before committing engineering resources.
Track the metrics we use to measure success
Work with stakeholders to unblock decisions and keep scope honest
Own data quality by defining standards with engineering and research
Run user research, bringing customer and sales feedback into prioritisation
The Essentials
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, you can write SQL, read a schema and visualise a data pipeline
Track record of taking a product from user problem to shipped release
Strong written communication across technical and commercial audiences
Wanting to work in a small fast-moving team with high ownership and impact
Big Plus
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
Application process
Video call with the VP Engineering
In-person product case study
Technical interview
Call with the founders
References and offer
Our Offer
Opportunity to work and learn in a climate focused tech start-up environment
To help us move the market towards a cleaner, better future
The excitement and fun of being part of a growing, dedicated and professional start-up
Stock options
25 days annual leave + bank holidays
Currence is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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