Inato
Inato is a Tech for Good company striving to bring clinical research to each and every patient, regardless of who they are or where they live. To do this, we are building the world's first clinical trial platform to create greater visibility, access, and engagement across a more diverse population of doctors and their patients.
Drug development is a challenging, intellectually complex, and rewarding endeavor: we enable global pharmaceutical companies to confidently partner with community-based researchers to increase patient access to the latest medical innovations. Our AI-powered platform currently offers clinical trials from leading companies to over 5,500 sites across the globe and we are well poised for growth in 2026.
We are a growing team of passionate pharmaceutical experts, software and AI engineers, professional services members, and many more—all bringing their unique perspectives to solve the challenges facing clinical research.
Inato is the recent recipient of Fast Company’s Most Innovative Companies of 2024, Fierce Healthcare’s Fierce 15, and Built In's Best Places to Work 2025.
We're hiring a Senior Analytics Engineer, Product to own how data moves from Inato's platform into the hands of the people who depend on it — our product squads, CS and Marketing teams, sponsors, and sites. You'll enable trusted self-service at scale, prove the value of our new product offerings faster, and ship data products directly into the user experience.
You'll report to Alexandre Halley (Data Director) and partner daily with Product squads (PMs, engineers, designers), with regular touchpoints into CS, Marketing, and Sponsor / Site Ops.
Our stack includes Segment, Airbyte, Dagster, BigQuery, dbt, Hex, FullStory, and more.
You're impact-driven and pragmatic — you instinctively reach for the shortest path to the user's need. You're systematic: you'd rather improve the system than re-fix the same symptom. You're satisfied shipping the 80% solution at 20% of the effort, then iterating on it. You're equally comfortable in a stakeholder conversation, a dbt PR, and a quick prototype.
You'll thrive here if your career arc looks something like: started as an analyst or PM, moved up the stack toward analytics engineering or data product, have lived in start-ups or scale-ups where you owned a meaningful slice of the data value chain end-to-end, and have shipped complex projects with measurable end-user value.
Inato is in a phase of rapid growth driven by new product offerings, and the data team is one of the functions directly responsible for proving and scaling that value. You'll have a direct line to the VP Product, real ownership from day one, and a small senior team around you. Inato is leaning hard into AI-enablement, and the data team is pioneering it internally — there's a clear path to Lead or Staff Analytics engineer, or Data Product Manager within 2–3 years as our data-as-a-product surface grows.
