Engineering Manager at Saris Ai

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. 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 WHO YOU ARE - 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 BONUS POINTS IF YOU - 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 WHY JOIN SARIS AI? - 🏦 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.