---
title: 'Solutions Engineer at Baselayer'
canonical: 'https://feeny.ai/job/solutions-engineer-baselayer-new-york-b28qdk6n0dz2'
type: 'job'
last_seen: '2026-09-06'
---

# Solutions Engineer at Baselayer

- **Company:** Baselayer
- **Location:** New York, NY
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/baselayer/jobs/5412427008

## Job description

## ABOUT BASELAYER

Every day, financial institutions make consequential decisions about which businesses to onboard and trust, in order to grow with confidence. Baselayer exists to make those decisions faster, more accurate, and much less expensive. We offer the leading AI Risk Platform that automates merchant onboarding, underwriting, and fraud prevention for over 20% of the Financial Institutions in America. By combining authoritative government data, AI agents purpose-built for web analysis, and a network powered by millions of applications, Baselayer prevents billions of dollars in merchant fraud and credit risk and instantly automates good merchant applications.

## ABOUT THE TEAM

We're a small team solving a big problem. Business fraud costs the financial system billions every year, and the tools built to fight it are slow, expensive, and outdated. We're changing that. You'd be joining a small, close-knit team where ownership is real, customer impact is immediate, and the work you ship matters from day one. We move deliberately, communicate directly, and care deeply about quality. If you want to look back in five years and know you worked on something that changed how trust works across major financial institutions, let's chat!

## ABOUT THE ROLE

We're looking for a technical bridge-builder who thrives at the intersection of engineering and customer success. You have a passion for translating complex technical concepts to diverse audiences and enjoy diving into code to solve real-world problems. You're energized by helping customers implement solutions that drive measurable business value.

## WHAT YOU'LL DO

- Technical Consultation: Help understand customer requirements and design appropriate implementation strategies for Baselayer's identity verification solutions
- Implementation Support: Guide customers through API integrations and ensure successful deployment of Baselayer products
- Solution Design: Create technical documentation and implementation plans that address specific customer needs
- Product Demonstrations: Deliver technical demonstrations that showcase Baselayer's capabilities
- Cross-functional Collaboration: Work closely with sales, product, and engineering teams
- Technical Documentation: Develop implementation guides and solution architectures for various customer scenarios
- Customer Training: Educate customers on Baselayer's products and APIs
- Feedback Loop: Collect and communicate customer feedback to product and engineering teams
- Continuous Learning: Stay current with industry trends and emerging technologies in the identity verification space
- Post-implementation Support: Provide ongoing technical guidance to ensure customer success

## MINIMUM REQUIREMENTS

- You have 2+ years of experience in a technical role, product management, or customer-facing position
- You possess fundamental knowledge of API concepts and web technologies
- You're detail-oriented and able to document requirements effectively
- You're a natural problem-solver who enjoys finding solutions to complex challenges
- You're adaptable and can navigate ambiguity with confidence
- You're highly collaborative and enjoy working with cross-functional teams

## WHAT SETS YOU APART

- Experience in solutions engineering, implementation, or technical customer success
- Basic coding skills in Python or JavaScript
- Familiarity with identity verification, KYC/KYB processes, or financial compliance
- Experience with fintech or financial institutions
- Experience leading technical discovery calls, product demos, or implementation workshops

## WORK LOCATION

- Based in New York City; Full-time in office

## COMPENSATION

- Salary Range: $135,000 – $220,000 + Equity

## BENEFITS

- Time off when you need it: Flexible PTO so you can recharge without red tape
- In-person energy: We're based in NYC and meet in the office full-time
- 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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