About the role

Senior Forward Deployed Engineer at PocketHealth implementing healthcare automation solutions by leading client deployments. Collaborating closely with healthcare providers and integrating diverse technologies.

Responsibilities

Own deployments end to end: Lead the full technical implementation of Conductor for each client, from kickoff through go-live, as the primary point of contact for their technical and operational stakeholders. Write the code, own the integration scope, and build the trust that turns a successful go-live into a long-term relationship.
Accelerate the sales cycle: Partner with the GTM team to drive deals forward. You'll run technical demos, prototype automations against a prospect's real workflows, and lead the sessions that give prospective clients the confidence to commit.
Build, integrate, and ship: Write and extend agentic workflows in Conductor's orchestration engine — building custom tools, integration adapters, and transformation logic tailored to each client's operational patterns.
Diagnose and resolve issues quickly: Be the first line of technical escalation during and after go-live. Use logs, workflow state, and system telemetry to diagnose problems at the code level and resolve them fast.
Shape how Conductor evolves: Translate client friction into structured product feedback. Identify patterns across deployments that should drive platform decisions.
Strengthen the platform as you go: Document what works. Contribute to integration libraries, shared tooling, and deployment runbooks that make future deployments faster and the platform more capable.

5-8 years of software engineering experience, with meaningful time in a forward deployed, solutions engineering, or embedded client-facing engineering role
Track record of shipping production code in client environments — not just internal products
Strong full-stack engineering fundamentals: comfortable owning backend services, APIs, data pipelines, and integration layers end to end
Proficient in Python and/or TypeScript; able to write clean, maintainable, production-quality code
Hands-on experience with AWS (ECS, Lambda, API Gateway, or similar)
Experience building and debugging integrations against third-party APIs and data systems
Experience with workflow orchestration engines (Step Functions, Cadence, Temporal, Prefect, or similar) is a strong plus
You're an engineer first — your default response to a problem is to build a solution, not escalate it
You use AI tools fluently as part of your daily engineering practice: Claude Code, Codex, Cursor, Copilot, or equivalent
You thrive in environments where requirements are discovered through doing, not just scoping
You communicate clearly and naturally with non-technical stakeholders, without losing engineering precision
You can manage multiple active deployments without dropping threads or cutting corners
You hold yourself to a high bar on both code quality and client outcomes.