Engineering Manager

Saris AI•San Francisco, CA

About The Position

Our core engineering team is looking for a hands-on Engineering Manager who thrives in early-stage, ambiguous environments. You've built and led engineering teams, owned delivery end-to-end, and know what it takes to ship high-quality software in a fast-moving AI-native environment. Your mission is to Lead a product engineering team building AI-native financial infrastructure for banks and credit unions Own delivery, engineering quality, and the operating cadence for your team Scale the team by hiring, onboarding, and ramping engineers to achieve a consistently high Develop engineers through regular coaching, direct feedback, and individualized growth plans that help people level up and take on bigger roles Partner with Product, ML, and executive leadership on technical strategy and roadmap Establish engineering management best practices across sprint rituals, release processes, and incident response that the org can build on as it scales

Requirements

7+ years of engineering experience, including 2+ years managing engineering teams in a product context
Strong enough technically to evaluate architecture decisions, guide trade-offs, and get into the code when it matters
Fluent in AI/ML systems: You understand LLM behavior, eval frameworks, and prompt engineering well enough to guide how AI gets built into the product, not just how to use AI tools personally
Proven track record of developing team members
Execution-focus: you ship, hold the team accountable, manage scope aggressively, and don't wait for perfect information to move
Experience building teams or processes from scratch, not just inheriting and optimizing someone else's
Comfortable operating with high autonomy in ambiguous, early-stage environments where you'll wear multiple hats
Clear communicator who translates technical complexity for stakeholders and business context for engineers

Nice To Haves

Have shipped AI or LLM-powered systems in production, particularly in a regulated industry (financial services, healthcare, etc.)
Have experience with eval frameworks, prompt versioning, or ML observability tooling
Have hired and built a team from the ground up, owning the full recruiting funnel from sourcing through close
Have worked in a Series A / early-stage environment where the playbook didn't exist yet

Responsibilities

Lead a product engineering team building AI-native financial infrastructure for banks and credit unions
Own delivery, engineering quality, and the operating cadence for your team
Scale the team by hiring, onboarding, and ramping engineers to achieve a consistently high
Develop engineers through regular coaching, direct feedback, and individualized growth plans that help people level up and take on bigger roles
Partner with Product, ML, and executive leadership on technical strategy and roadmap
Establish engineering management best practices across sprint rituals, release processes, and incident response that the org can build on as it scales