Vice President, Engineering

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🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $280k - $340k / year

⏰ Full Time

🔴 Lead

🖥 Software Engineer

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Doma

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

💸 Finance

🏠 Real Estate

💳 Fintech

Finance • Real Estate • Fintech

Doma is a company that specializes in technology solutions and title insurance services for lenders, point-of-sale providers, and the mortgage industry. Acquired by Title Resources Group (TRG) on September 27th, 2024, Doma operates as a sister company under the TRG umbrella, with a focus on providing unmatched underwriting services and supporting agency revenue growth. The company, previously known as North American Title Company, offers settlement services across various states and continues to prioritize customers and partners as part of its mission.

📋 Description

• own our engineering platform end to end • partner closely with data science and machine learning to build and scale the real time decision engine • lead a team of 10+ engineers based in the Bay Area • report directly to the CEO • measure success by how much faster, more reliable, and automated processes become • replace manual, paper based review processes with software by ingesting messy public records, documents, and outside data • apply proprietary risk models built on 100,000+ policies • ship a production system already approved by Fannie Mae and live in real mortgage transactions

🎯 Requirements

• 8+ years of engineering experience, including leading and scaling a team of 10 or more engineers • AI/ML platforms: you've shipped production systems that rely on machine learning or agentic automation, not just prototypes • Regulated, financially significant transactions: fintech, proptech, or insurtech experience where your software plugged directly into a customer's financial decision • Startup environments: Series A through growth stage, where you've operated with little direction and owned ambiguous problems end to end • Ownership: comfortable owning a platform end to end and reporting directly into the CEO • Technical depth: able to go deep with data science and ML partners on the core decision engine, not manage from a distance • Data infrastructure: experience solving real world problems around fragmented records, scraping, ingestion, and reliability at scale • Velocity: can materially increase engineering speed without sacrificing reliability in a regulated industry • Communication: can align a small, senior team around a fast moving roadmap and keep data science, ML, and engineering in sync

🏖️ Benefits

• medical/dental/vision insurance • 401(k) • generous vacation time • paid bonding leave