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Salary: USD 145,000 - 185,000 / annual
H1 is a healthcare data and AI platform on a mission to provide optimal medical insights to inform every doctor interaction globally. The company harnesses data and AI technology to unlock medical insights that drive better patient outcomes and accelerate equitable drug development.
As a Senior Forward Deployed Software Engineer, you will be embedded within H1's high-performing, mission-driven teams spanning Product, Data Engineering, Implementations, and Customer Success. You'll take ownership of strategic enterprise pharma accounts and define how H1 scales its forward-deployed engineering function.
Currently, H1 relies on external Salesforce vendors for pharma engagements. This role is critical to building and owning this capability in-house to control the roadmap, maintain strategic relationships, and expand from single-customer to multi-customer models.
Key responsibilities:
- Own end-to-end Salesforce Life Sciences Cloud (Engage 360) implementations for enterprise pharma clients, including real feature development, customization, and data model design
- Design and execute customer implementations, translating business requirements into technical solutions, defining data architecture, ETL workflows, and integration strategies
- Build data movement and ETL pipelines using Python and Airflow to ingest, transform, and integrate data from multiple sources and structures
- Write and optimize SQL queries; design efficient data models to support complex pharma workflows and analytics requirements
- Conduct requirement analysis and translate complex client workflows into architecture diagrams, technical specifications, and implementation plans
- Own client calls and serve as the technical point of contact for enterprise pharma accounts, independently managing relationships and navigating ambiguity
- Define the technical standards, processes, and tooling for how H1's Forward Deployed function scales to support multiple customers
You'll work in a fast-paced, ambiguous environment where you're constantly translating what clients need into what's technically feasible, and finding the optimal path when the ideal solution isn't possible.
REQUIREMENTS:
- 5+ years of hands-on Salesforce consulting with proven expertise in real feature development and customization (Apex, Flows, Lightning Components); you've shipped real solutions, not just scoped requirements
- Strong Python engineer with real-world Airflow and ETL pipeline experience; you understand data transformation, pipeline design, and can optimize data workflows
- SQL proficiency and data model design experience; you can write and optimize complex queries and design efficient schemas to support analytics and operational needs
- Proven ability to translate client requirements into technical architecture and drive implementations from discovery through deployment
- Direct experience working with enterprise clients in a consulting capacity; you've managed demanding stakeholders, navigated scope, and delivered under constraints
- Comfort navigating technical ambiguity; ability to define feasible solutions when requirements are unclear or competing constraints exist
NICE-TO-HAVES:
- Life Sciences Cloud (LSC) specific experience or implementation background
- Healthcare or pharma industry consulting experience
- Experience designing data warehouses or working with Snowflake, Redshift, or similar platforms
- Track record managing or mentoring technical teams while staying hands-on
