Leap
Forward Deployed Engineer, Care Operations
US (Remote)
Sponsorship not specifiedDetected 20 days ago
PythonSQLRESTData EngineeringLLMsAgileHubSpotCRMCadenceProblem Solving
About the role
- This role sits at the intersection of engineering and operations.
- You're not supporting a system someone else built.
- The foundation exists but needs to be rebuilt properly.
Responsibilities
- Own the technical systems that move members from "New" to "Scheduled" and "Infused", including the automations, integrations, and workflows that drive each transition.
- build the fixes, not just the recommendations.
- Design and maintain the member activation pipeline, ensuring every new employer deal translates into a structured, repeatable onboarding flow.
- Build tooling that surfaces the right information to the right person at the right time, reducing manual work and improving response rates.
- Build and maintain integrations across all of our internal and external tooling as the stack evolves.
- Leverage AI tooling, including LLMs, to build faster, automate intelligently, and solve problems that traditional scripting can't.
- Own data quality and system reliability
- Operational Process Design
- Translate operational problems into technical solutions, and technical constraints into process design that the team can actually execute.
Requirements
- Clear communicator: you can explain a technical decision to a non-technical teammate and an operational tradeoff to an engineer.
- Required
- Technically autonomous, you build your own tools, write production code, and lean heavily on AI to move faster than a team three times your size.
- Fluent across the full technical stack this role requires: Python or equivalent scripting, SQL, REST APIs and webhooks, and low-code/no-code automation platforms.
- Operationally literate, you understand process design, can map a workflow, and know the difference between a tool that technically works and one that the team will use.
- Strong systems thinker: you build for scale from day one and leave things more structured than you found them.
- AI-native in how you work, you use LLMs as a force multiplier for building, debugging, and problem-solving, not as a novelty.
- Preferred
- Familiarity with healthcare operations, specialty pharmacy, or care coordination workflows.
Nice to have
- High ownership orientation, you don't wait to be told what to fix, and you don't consider something done until it's working in production.
- Prior experience in ops-heavy or process-engineering environments, you've lived inside a workflow before you automated it.
- Experience working in early-stage startups where the infrastructure you're inheriting is uneven and the roadmap is yours to shape.
- Experience with CRM platforms (HubSpot preferred) and patient-facing systems.
- Comfort with multi-agent AI architectures or Claude Code / LLM-assisted development workflows.
- A rebuilt, reliable member activation pipeline, from deal close through first infusion, with clear handoffs, reduced manual steps, and measurable throughput improvement.
- Integrations across core systems that are documented, monitored, and trusted by the team.
- A reduction in manual ops work through targeted automation, with the team spending less time on data entry and more time on members.
Company info
- Leap is one of the fastest-growing benefits solutions and a category-defining pioneer in employer specialty pharmacy.
- We are reshaping how life-changing therapies are delivered and financed, ensuring patients get the treatment they need while employers finally get a fair deal.
- Specialty drugs and infusions represent nearly 10% of all healthcare spend and are the fastest-growing cost category for employers.
This listing is sourced directly from Leap's careers page and normalized into a canonical job model.