Forward Deployed Engineer

Terra API is a company focused on health data infrastructure, and they are seeking a Forward Deployed Engineer to serve as a technical bridge between their platform and high-value customers. The role involves designing integration architectures, writing production code, debugging across the full stack, and managing technical relationships with strategic accounts.

Responsibilities:

• Design integration architectures for complex health data use cases — determining which Terra endpoints, webhook configurations, and data models map to the customer's product requirements
• Write production code in the customer's environment: building webhook consumers, data transformation layers, authentication flows, and retry logic against Terra's API
• Debug across the full stack — from a Garmin watch failing to sync, to a webhook payload arriving with unexpected schema, to a customer's data pipeline dropping events
• Own the technical relationship with 3–5 strategic accounts simultaneously, serving as their dedicated Terra expert from pre-sales scoping through production go-live and beyond
• Translate field learnings into product — when you see three customers struggling with the same edge case in sleep data normalization, you don't just fix it for them; you work with our engineering team to fix it in the platform
• Build reference implementations, SDKs, and sample apps that make Terra's API easier for every developer, not just your accounts
• Scope and qualify technical requirements during the sales cycle — determining whether a prospect's use case fits Terra's data model, estimating API call volumes, and defining integration timelines

Requirements:

• 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
• 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
• You are an athlete. You train, you compete, you push limits — or at the very least, you are obsessed with quantifying your own data