Job Overview
Location
United States
Job Type
Full-time
Category
Engineering Manager
Date Posted
April 9, 2026
Full Job Description
đź“‹ Description
- • Lead a backend/platform engineering team responsible for powering SentiLink’s core identity and risk solutions, ensuring systems are scalable, reliable, and secure.
- • Drive execution, technical direction, and team growth while contributing hands-on to architecture, code, and complex problem-solving in a fast-moving, growth-stage environment.
- • Partner with product, data science, infrastructure, and front-end teams to translate requirements into robust backend systems and productionize decisioning workflows.
- • Foster a culture of ownership, accountability, and continuous improvement while mentoring engineers and maintaining high standards for code quality and operational excellence.
🎯 Requirements
- • 3-5+ years of engineering management experience leading backend or platform teams
- • Strong background as a senior or staff-level backend engineer
- • Deep experience building API-driven systems using Golang, Python, or similar
- • Experience owning and evolving backend architecture in production environments
- • Track record of shipping complex, customer-facing or platform systems
- • Comfortable leading technical discussions and diving into implementation details
🏖️ Benefits
- • Employer paid group health insurance for you and your dependents
- • 401(k) plan with employer match
- • Flexible paid time off
- • Regular company-wide in-person events
- • Home office stipend
Skills & Technologies
About SentiLink Corporation
SentiLink builds real-time identity verification and fraud prevention infrastructure for banks, fintechs, and government agencies. Its API-driven platform uses machine learning and authoritative data sources to spot synthetic identities, stolen identities, and other high-risk applications at account opening. The company also offers compliance tools for KYC, CIP, and CDD mandates. Headquartered in San Francisco and founded in 2017, SentiLink serves major U.S. lenders and card issuers, reducing fraud losses and manual review costs while improving onboarding speed and accuracy.
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