Note: The job is a remote job and is open to candidates in USA. Leap is one of the fastest-growing benefits solutions and a pioneer in employer specialty pharmacy. As a Forward Deployed Engineer on the Care Operations team, you will own the technical infrastructure for member activation and work on building systems that enhance operational efficiency.
Responsibilities
- Own the technical systems that move members from 'New' to 'Scheduled' and 'Infused', including the automations, integrations, and workflows that drive each transition
- Identify funnel drop-off points through data and direct observation; 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
- Write production-grade code and automation (Python, SQL, APIs, webhooks, low-code tools) that the Care Ops team depends on daily
- Leverage AI tooling, including LLMs, to build faster, automate intelligently, and solve problems that traditional scripting can't
- Own data quality and system reliability; when something breaks or drifts, you catch it and fix it before it affects members
- Translate operational problems into technical solutions, and technical constraints into process design that the team can actually execute
- Document workflows, system architecture, and integration logic so the team isn't dependent on tribal knowledge
- Work directly with Care Coordinators and clinical staff to understand where manual effort is highest and where automation will have the most impact
- Contribute to sprint planning and roadmap prioritization; you have a point of view on what to build next and why
- Build dashboards and reporting that give the Care Ops team real-time visibility into funnel performance, outreach quality, and activation rates
- Design and maintain computed metrics (e.g., time-to-schedule, outreach cadence health, case aging) that surface actionable signals rather than just raw data
- Partner with Member Growth and Client Success to ensure commercial and clinical metrics are aligned and trustworthy
Skills
- 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
- Clear communicator: you can explain a technical decision to a non-technical teammate and an operational tradeoff to an engineer
- 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
- Familiarity with healthcare operations, specialty pharmacy, or care coordination workflows
- Experience with CRM platforms (HubSpot preferred) and patient-facing systems
- Comfort with multi-agent AI architectures or Claude Code / LLM-assisted development workflows
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