About Saris AI
We're a San Francisco, Montreal and Toronto based applied AI startup that's building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what's possible with multi-turn AI agentic systems.
Our goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration across legacy systems, and strict compliance loops: the ones without known answers.
We've shipped real agents that handle real customer workflows in production. With a growing customer base and live deployments, we're scaling up fast and looking for deeply technical builders who want to have outsized impact early.
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.
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
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
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
🏦 Join us in building the future of work for the trillion-dollar banking industry using cutting edge AI technology.
👥 Join as one of the first engineering leaders — your decisions will define how engineering management works at Saris for years.
🤖 Manage engineers building production AI in regulated finance — your team works with LLMs, evals, and agentic systems where outputs need to be auditable, compliant, and correct.
💲 Competitive compensation with premium benefits and equity package.
🤝 Work with a stellar team of engineers, builders, and leaders; including repeat YC founders with a successful exit (Ready Education).
📈 We already have production agents live with revenue-generating customers.
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