Senior Manager, Engineering

Snapdocs•San Francisco, CA

22d•$164,500 - $235,000•Remote

About The Position

The U.S. mortgage market is a $14 trillion pillar of the economy — and much of it still runs on fax machines, overnight shipping, and manual workflows. Snapdocs is changing that. Our platform currently powers 20% of all real estate closings in the country, and we’re just getting started. We design workflow software and AI-driven automation that connects lenders, settlement teams, notaries, and investors — eliminating friction, reducing risk, and delivering a faster, simpler closing for every borrower. Our customers range from the largest mortgage lenders to independent title companies. They trust us because we solve real operational pain with empathy, rigor, and reliability. We’re backed by Sequoia, Y Combinator, and F-Prime, and we’re building for the long term. Mortgage closing sits at the center of one of the largest, most fragmented financial transactions in the US. The process is long, multi-party by nature, and still mostly manual in ways that cost real time and money for everyone involved. Snapdocs has spent the better part of a decade automating it. Today the company connects hundreds of lenders and thousands of settlement professionals, signing services, and notaries into a single digital closing platform. Backed by Sequoia Capital and on a clear path to sustainable growth, Snapdocs is the operating standard for digital mortgage closing, built to ride out rate cycles and expand well beyond them. Our engineering organization is structured around focused product pods, each owning a distinct surface of the platform. We are looking for a senior engineering manager to lead multiple pods.

Requirements

7+ years of software engineering experience, with a strong background in full stack web application development
4+ years managing engineering teams, including experience managing multiple concurrent teams or pods
Track record of shipping software across an agile SDLC, with a bias towards rapid, iterative development and constantly shortening the feedback loop
Strong partner to product management who looks beyond the tech stack; possesses the business curiosity and customer insights necessary to make decisive product calls and navigate complex cross-functional trade-offs
Full-range people management experience: growing high performers, supporting struggling ones, and hiring new ones
Technical grounding strong enough to give credible feedback on code and architectural decisions
Informed point of view on AI in software engineering, you've thought about how the process changes, not just the speed

Nice To Haves

Experience with Ruby on Rails and React are a plus

Responsibilities

Own day-to-day execution of your engineering pod: sprint planning, delivery, and team health
Partner closely with product managers to align on quarterly goals, clear blockers, and keep work pointed in the right direction
Work alongside engineering leadership and the engineering team on architectural decisions, shaping them, not just attending them
Take on a second engineering pod within 3 to 6 months as your leadership of the first team is established
Lead full performance management for 8 to 12 engineers: 1:1s, twice-annual reviews, coaching plans, and promotion recommendations
Translate emergent AI strategies into team-level execution; partner across the org to test and refine workflows, review cycles, and SDLC practices as engineering-wide standards take shape.