Baselayer
Financial Services
ProductManager
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Product Manager at Baselayer. Skills: Product strategy, Roadmap development, User story creation. Define product strategy. Create product roadmaps”
Industry & Context.
What They're Looking For.
Must Have
Product Manager experience
Nice to Have
Experience in new verticals
What You'll Do.
Define product strategy
Create product roadmaps
Collaborate cross-functionally
Own existing product surface
Set product priorities
Sequence product roadmap
Make daily prioritization calls
Define zero-to-one products
Operate existing product surface
How You'll Work.
Team & Collaboration
Cross-functional collaboration
Process & Methodology
Roadmap planning
Full Job Description
ABOUT BASELAYER Every business in America needs a bank account to exist. The system that decides whether they're real, who's behind them, and whether they're a risk, runs on infrastructure from the 1980s. We're rebuilding that layer from scratch. Baselayer is the identity layer for institutions across the United States — the most complete business graph in America and every human tied to it. We fuse public records, IRS data, sanctions lists, web signals, and fraud telemetry from 2,200+ financial institutions into a single graph that resolves any business and the humans behind it in milliseconds. The legacy credit bureaus took 50 years to build something that gets 60% match rates. We've built something that gets 98% in under two years. Today we're trusted by over 20% of financial institutions in America — including FIS, Rho, Socure and leading loan infrastructure providers. But the graph is becoming infrastructure for anyone who needs to know if a business is real and worth trusting: gig platforms, marketplaces, AI companies, and commerce infrastructure at scale. Trust is the substrate of every financial transaction. We're rebuilding it. ABOUT THE TEAM We're solving real-time entity resolution at a scale no one else has cracked — fusing dozens of data sources into a single business identity graph and resolving any entity in milliseconds. It's a graph AI problem, a retrieval problem, and a fraud-modeling problem stacked on top of each other. The technical depth is real. You'd be joining a small team where the data moat is defensible, the research problems are open, and the infrastructure you build becomes load-bearing for businesses. Ownership is real. Velocity is real. There's no layer of process between an idea and shipping it. We're at an inflection point — the graph is built, the match rates speak for themselves, and the hardest problems are still ahead: graph embeddings, fraud propagation models across the business network, real-time traversal at sub-100ms latenc
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