Note: The job is a remote job and is open to candidates in USA. Leap is a rapidly growing company specializing in employer specialty pharmacy solutions. The Forward Deployed Engineer in Care Operations will be responsible for managing the technical infrastructure that facilitates member activation and ensures seamless transitions through the care funnel.
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
Benefits
- Offers Equity
Company Overview
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