We’re looking for a curious and data-driven Sr. Product Manager to join our US team. You will be based in Washington DC area. In this role, you’ll own customer acquisition and growth for our credit card product in the US, directly contributing to Lendable’s long-term strategic trajectory. You’ll join us as we prove out the book, then take it into its next phase of growth.
You’ll be joining a small, ambitious, and fast-paced team of data-driven problem solvers. This role is best suited for someone who is analytical & iterative and solves problems from first principles. You will report directly to our CPO and partner with our US Cards Managing Director.
The role centres on originations and growth, and will cover:
Acquiring customers efficiently across direct mail, paid, aggregator and affiliate channels, building out new channels, and optimizing conversion funnels
Shaping the mobile app experience to drive activation, spend, and engagement
Owning the end-to-end origination journey, from first touch to an approved and activated account, including one-click and open-banking-enabled applications and new product offerings
Building new credit products such as cash back and rewards cards
Owning key partner integrations like those for our network, affiliate marketplace channels, and transaction & payment processing vendors
Improving our underwriting and fraud prevention capabilities to increase approvals without compromising credit quality
Owning channel economics: CAC, payback and unit economics by channel and cohort, and knowing where the next dollar of spend should go
Using AI to build, test and analyse faster than a team our size otherwise could
Your Impact
Drive the Product Vision & Roadmap
Own the strategy and roadmap for our US card product: first to market parity then past it for our current and expanding target segment through customer understanding and experimentation. Getting there means bringing Credit, Growth, Design, Data Science and Compliance with you developing your leadership and influencing skills.
Execute Hands-On
You are a hands-on builder who finds the highest-leverage problems and solves them. You write & resolve tickets, prototype, and own implementation and design decisions rather than handing them off. AI tools are a genuine force multiplier here, and we expect you to use them to build the scrappiest thing that answers the question instead of waiting for engineering capacity. The accountability stays with you: you don't ship what you can't sense-check.
Drive Data-Backed Decisions
AI has collapsed the cost of analysing data, so the differentiator is intuition and curiosity: a feel for what the numbers should look like, the instinct to notice when something is off, and the persistence to find the real driver. You never take a confident answer at face value, from a dashboard or a model. You let AI do the assembly so the team spends its time deciding, and you champion experimentation.
Outcome Focus
You set clear, measurable goals and judge your work by whether the numbers moved, not by what shipped. You make tough calls under ambiguity, own them, and course correct when the evidence turns. You are happy to change your mind when presented with a good argument, and you expect the same of everyone else.
Your experience
4+ years of Product Management experience
2+ years of experience in consumer lending, ideally credit cards
Experience at a startup or owning a high-growth product in a fast-paced environment
Strong technical fluency, enough to work confidently across decision engines, APIs, and data flows, plus a builder’s instinct: you already use AI tools daily to prototype, analyse and ship, and you can show us how
Ability to combine data, customer understanding, and market signals to drive prioritization and product innovation
Strong numerical intuition: a feel for what good and bad look like in a funnel, a cohort, or a P&L, and a habit of investigating anomalies rather than explaining them away. You should be comfortable getting to data yourself with AI, so deep SQL expertise is not required
Demonstrated ability to focus on the broader objectives without getting lost in the details
Interview process
A quick introduction call with someone from the team
A case interview with a member of our Product team, focused on growth and originations, including a set of real numbers to interrogate
Final round interviews with our CPO, Cards MD, and product and engineering team members
