SDET / QA Lead

Saris AI•San Francisco, CA

About The Position

We're a San Francisco & Montreal 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. We’re hiring an SDET / QA Lead to build and scale how quality works across our AI-powered products. At Saris, quality isn’t something we test at the end — it’s something we build into the system from day one. This role is about creating the infrastructure, strategy, and culture that allows engineers to move fast while maintaining high reliability. This is a hands-on leadership role. You’ll write code, design systems, and lead how quality is done across the company.

Requirements

You have strong engineering fundamentals and are comfortable writing production-quality code.
You’ve built or significantly improved automated testing systems, and understand how to balance speed, coverage, and reliability.
You’ve worked on complex systems (APIs, microservices, async workflows), and know how to identify real risk rather than just increasing test count.
You have leadership experience — either managing or mentoring — and care about raising the bar for the entire team.
Experience with AI or LLM-based systems, both as tools in your day-to-day work as well as to test.

Responsibilities

You’ll own quality end-to-end. That includes defining our testing strategy across product, infrastructure, and AI workflows, and building the systems that support it.
You’ll design and implement automated testing frameworks across the stack — from UI to APIs to backend systems — and ensure they are fast, reliable, and deeply integrated into our CI/CD pipelines.
You’ll also lead and grow the QA function, mentoring engineers and setting clear standards for how quality is owned across teams.
A key part of this role is working closely with product and engineering to focus testing efforts on what actually matters, and building fast, trusted feedback loops.
Collaborating with our ML team, you’ll also help define how we test AI systems — including LLM and agent-based workflows — ensuring accuracy, consistency, and protection against regressions.