About this role
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.
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.
Tech stack
LLM
About Saris AI
Saris AI is hiring for the engineering manager role. NewJob aggregates active openings directly from Saris AI's applicant tracking system, so this listing is current.
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