---
title: 'Senior Software Engineer, Identity Graph at Baselayer'
canonical: 'https://feeny.ai/job/senior-software-engineer-identity-graph-baselayer-san-francisco-xzyzewha8e8g'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Software Engineer, Identity Graph at Baselayer

- **Company:** Baselayer
- **Location:** San Francisco, CA
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/baselayer/jobs/5412424008

## 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 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.
- KYC/KYB/fraud/underwriting data-pipeline experience.
- Address parsing/normalization at country scale.
- 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

- Salary Range: $230k – $340k + Equity

## BENEFITS

- 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 Baselayer

## Company Overview
- **One-liner**: AI-powered platform for business identity verification, fraud detection, and risk scoring, serving 2,200+ financial institutions and government agencies.
- **Entity Type**: Private (Seed stage – raised $6.5M seed round in May 2024)
- **Headquarters**: New York, NY, USA
- **Founded**: ~2024 (inferred from seed round announcement)
- **Founders**: Timothy Hyde (CEO) and Jonathan Awad (CTO)

## Core Business
- **Primary industry**: Financial technology (FinTech) – business risk intelligence, identity verification, compliance, fraud prevention.
- **Target customers**: B2B – banks, fintechs, credit unions, government agencies, B2B platforms; end-users are small and medium-sized businesses.
- **Mission**: To make financial services more accessible to small businesses by providing real-time trust and risk infrastructure.

## Products & Services
- **Business Verification (KYB)**: Instantly verifies business identity, officers, owners, sanctions, legal and military risk using public records and AI.
- **Fraud Prevention**: AI-driven fraud detection with a consortium network to identify repeated fraud and emerging trends.
- **KYB Rating**: Proprietary AI score combining all available signals for intelligent decisioning.
- **Industry Prediction**: Automated business classification using signals from 120M+ business records.
- **Portfolio Monitoring**: Continuous, configurable monitoring of sanctions, fraud, adverse events, and entity changes.
- **Lien Searching & Filing**: Accelerated search and filing of liens against businesses.
- **Website & Social Media Analysis**: AI agents assess online presence and social/review data for risk signals.
- **Risk Rating**: Graded industry prediction scores via proprietary clustering and multi-source data.
- **Credit Stacking**: Unique capability to detect credit stacking risk (multiple applications).

All delivered via a unified API and web dashboard (Risk Co.Pilot) with pre-built integrations.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Total Funding**: $6.5M seed round (May 2024, from 7 undisclosed investors).
- **Annual Revenue**: Estimated $25M–$50M (LinkedIn data).
- **Key Metric**: Trusted by 2,200+ financial institutions; platform integrated into companies with 30M+ accounts.
- **Notable Investors/Partners**: Investors not named in available sources; partners include "ure" (likely a branding/media partner) per a 2025 PR Newswire announcement.
- **Growth Signals**: LinkedIn followers grew 1,840% year-over-year to ~23,600; 16 active job postings across engineering, sales, customer success, and operations. Headcount decreased 32.4% yearly (possibly restructuring after seed raise). Partnerships and product expansions ongoing.

## Competitive Advantages
- **AI-native architecture**: Combines public records, proprietary AI agents, and networked consortium intelligence for real-time, explainable risk decisions.
- **Broad data coverage**: Access to government records, web data, private databases, and a fraud consortium network.
- **High auto-approval rates**: Claims 92% increase in auto-approval rates for clients.
- **Agentic AI**: Automates manual risk checks, reducing cost and human error (Risk Co.Pilot).
- **Network effects**: Consortium model surfaces emerging fraud trends across participants, creating a moat.

## Strategic Focus
- Deepening AI capabilities (agentic AI, predictive modeling) to automate compliance and fraud workflows.
- Expanding partnerships with financial institutions and government agencies.
- Growing the fraud consortium to increase network value.
- Scaling platform usage beyond KYB into ongoing monitoring, lien services, and credit risk.

## Why Work Here
- **Culture**: Described as fast-paced, ambitious, and collaborative – "ideas over titles," "win together," "pace with purpose." The careers page emphasizes "cracked" individuals, founder mindset, and high ownership. Ego is not tolerated.
- **Work Environment**: Offices in New York (HQ), San Francisco, and Arizona (Mesa/Chandler). Likely hybrid/onsite given the roles posted; remote flexibility not explicitly stated.
- **Benefits**: 401(k) with matching, top-tier medical/dental/vision, unlimited PTO, competitive salary.
- **Engineering Culture**: Heavy focus on AI, machine learning, data engineering. Teams are small (≈28 employees), offering outsized impact. Roles include senior AI engineers, identity graph specialists, backend and full-stack engineers.
- **Employee Sentiment**: Glassdoor rating 3.6/5 (19 reviews). Strengths: compensation (3.8). Weaknesses: culture (2.8) and career growth (2.8) – typical for early-stage intense environments. Work-life balance rated 3.4.
- **Ideal Candidate**: Self-starters who want to be future founders, thrive in ambiguity, and are "wildly cracked" – bring high ambition and low ego.

## Sources
1. [baselayer.com](https://baselayer.com/) – Company website, product descriptions, claims
2. [baselayer.com/about](https://baselayer.com/about/) – Team, mission, culture, benefits
3. [linkedin.com/company/baselayer](https://www.linkedin.com/company/baselayer) – Employee data, revenue estimate, news, ratings
4. [job-boards.greenhouse.io/baselayer](https://job-boards.greenhouse.io/baselayer) – Open roles, hiring philosophy, company description

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