From Baselayer's posting. “We” and “our” refer to the employer.
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 latency, and expanding the identity layer beyond finance into every platform that needs to trust a business.
If you want to work on something foundational — the kind of infrastructure that gets built once, and everything else runs on top of — this is it.
ABOUT THE ROLE
Baselayer is building the most comprehensive, accurate, and continuously-current identity graph of US businesses and consumers. Every entity, officer, address, relationship, and public record we can responsibly source - ingested, normalized, linked, and kept fresh. That graph powers fraud detection, KYB onboarding, portfolio monitoring, sanctions screening, and a growing surface of customer-facing API products.
We're hiring a senior engineer to own product features across that surface end-to-end: schema design, data ingestion, entity resolution, API endpoints, scope and multi-tenancy, and performance under real customer load.
WHAT YOU'LL DO
Ingest and normalize heterogeneous public records into the graph, owning the full pipeline: ingestion to normalizer to repository to API surface.
Build and maintain entity resolution and linking systems - matching the same business or person across sources where keys don't line up, names are misspelled, and addresses are formatted six different ways.
Design and ship customer-facing APIs for search, lookup, monitoring, and webhook delivery - built for engineers who'll be live in production within a day of signing up.
Own schema design and zero-downtime migrations on a database hot 24/7.
Optimize performance and scale: query patterns for 10x volume, ingestion pipelines that finish before the next batch arrives, API latencies that don't drift as the graph deepens.
Build multi-tenancy and access control: every query in the system scoped by org/user/permission at the data layer.
MINIMUM REQUIREMENTS
Shipped product features that touched ingestion to storage to API to customer, end-to-end, in production.
Owned a Postgres schema that real money or real decisions depended on, and stayed on top of its evolution.
Strong async Python with experience running async services at scale.
Deep Postgres expertise: schema design under live load, EXPLAIN ANALYZE as a reflex, zero-downtime migration tooling.
FastAPI (or close equivalent): shipped real APIs with auth dependencies, OpenAPI contracts, and structured response models.
Built multi-tenant APIs where access control is load-bearing and scoped correctly at the data layer.
WHAT SETS YOU APART
Entity resolution / record linkage / fuzzy matching at scale.
Search infrastructure - full-text, fuzzy, or vector - kept in sync with a Postgres system of record.
Webhook delivery infrastructure: retries, signing, idempotency, and ordering guarantees.
GCP experience with Cloud Run, Cloud Tasks, Cloud SQL, and batch pipelines.
WORK LOCATION
Based in SF; hybrid 4 days per week in office.
Compensation
COMPENSATION
Salary Range:
$230k – $340k + Equity
B
ENEFITS
Time off when you need it:
Flexible PTO so you can recharge without red tape
In-person energy:
We're based in SF and meet in the office 4 days a week
Competitive compensation:
We pay well and back it with equity. We want you to think and act like an owner
Career rocket fuel:
You'll help build the foundation of a high-growth startup, working side by side with experienced founders and team members who've done it before
Benefits on us:
We cover 100% of your health, dental, and vision premiums. No surprise deductions from your paycheck
401(k) with company match
: We match your contributions so your future self benefits too
HSA contributions included: We contribute to your HSA on applicable plans, so your coverage works as hard as you do
Stay healthy, stay sharp: A $250 monthly gym stipend to help you bring your best self to work, and everywhere else
A seat at the table: We believe in transparency, radical candor, and giving every team member a voice 🔥
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
