Currence
Data Product Manager

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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:
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- 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


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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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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