Location: London (3 days per week in the office in Farringdon, London)Job Type: Full-timeThe CompanyCurrence 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 TeamYou'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 RoleYou'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:<ul><li>Own and prioritise the roadmap for our data engine, making strategic decisions on which datasets unlock the most value for customers</li><li>Define how data is structured, surfaced and made accessible across the platform to accelerate product development and improve user workflows.</li><li>Make data sourcing decisions based on what value and access</li><li>Work across function to understand how we use data, help build GTM material, and maximise our impact</li><li>Prototype rapidly with messy datasets when needed, building conviction through hands-on exploration before committing engineering resources.</li><li>Track the metrics we use to measure success</li><li>Work with stakeholders to unblock decisions and keep scope honest</li><li>Own data quality by defining standards with engineering and research</li><li>Run user research, bringing customer and sales feedback into prioritisation</li></ul>The Essentials<ul><li>3+ years as a product manager on a technical or data-heavy product, working directly with engineers</li><li>Familiarity with LLM or agent-based pipelines and how to evaluate them</li><li>Comfortable with data, you can write SQL, read a schema and visualise a data pipeline</li><li>Track record of taking a product from user problem to shipped release</li><li>Strong written communication across technical and commercial audiences</li><li>Wanting to work in a small fast-moving team with high ownership and impact</li></ul>Big Plus<ul><li>Experience with a B2B data or market intelligence product</li><li>Prior experience as an engineer, analyst or data scientist</li><li>Working understanding of energy and climate tech sectors</li></ul>Application process<ul><li>Video call with the VP Engineering</li><li>In-person product case study</li><li>Technical interview</li><li>Call with the founders</li><li>References and offer</li></ul>Our Offer<ul><li>Opportunity to work and learn in a climate focused tech start-up environment</li><li>To help us move the market towards a cleaner, better future</li><li>The excitement and fun of being part of a growing, dedicated and professional start-up</li><li>Stock options</li><li>25 days annual leave + bank holidays</li></ul>Currence is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Currence is market intelligence to power the AI era. The company pairs an AI data engine with expert analysts to deliver proprietary market intelligence to the teams that finance and build the energy system.The largest infrastructure investment cycle in a generation is underway, driven by AI-fueled power demand, grid modernization, and industrial reshoring. But the teams making these decisions are stuck with bad tools: traditional research that's too slow, and generic AI that isn't trustworthy.Currence closes that gap by combining the trust of expert research with the speed of AI. Our AI data engine ingests thousands of public sources and connects them into one view of companies, projects, deals, technologies, policies, and costs. On top of that, our expert analysts build proprietary models that produce data you can't get anywhere else: modeled economics for every project, credibility scores for every pipeline, ranked leaderboards for every sector.

Data Product Manager

About the Job

About the Company

Currence (fka Sightline Climate)

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