A wearable company wants to become a data supplier on Terra's platform — making their data available to Terra's downstream developer and AI ecosystem. You lead the technical onboarding: validating their data format against Terra's schema requirements, configuring consent flows, setting up data quality monitoring, and scoping which downstream developers get access to what.
Must-Haves
3+ years building software, with direct experience designing and consuming REST APIs at scale.
You've owned integrations end-to-end: auth flows (OAuth 2.0, API keys), webhook architectures, error handling, retry logic, idempotency.
Strong in Python or JavaScript/TypeScript — you can prototype a webhook consumer, build an SDK wrapper, or debug a customer's data pipeline in the same afternoon.
You've worked directly with customers or partners in a technical capacity — you know how to translate "our data looks wrong" into a root cause and a fix.
You can context-switch between five different customer architectures in a week without losing depth on any of them.
You communicate clearly and concisely with both engineering teams and non-technical stakeholders — executives, product managers, compliance teams.
Strong Signals
Experience with health, fitness, or biomedical data — you know what HRV is, why sleep staging is hard, and what makes wearable data noisy.
Familiarity with health data standards and compliance: HIPAA, GDPR, FHIR, HL7.
Background in developer tools, platform engineering, or API-first products.
You've worked at or with companies in the wearables, digital health, or health AI space.
Experience building data pipelines that handle real-time streaming and batch backfill at scale.
You've contributed to developer documentation, sample code, or open-source SDKs.
Big Plus
You are an athlete. You train, you compete, you push limits — or at the very least, you are obsessed with quantifying your own data. The discipline, ambition, and courage it takes to show up every day and get better is the same energy we run on. If you understand the data because you live it, you'll build a better product.