Manifold Benefits Overview

Build and deploy AI, data, and software solutions for life sciences customers. Responsibilities include architecting implementations, developing data pipelines and automation, troubleshooting infrastructure and applications, leading customer discovery and training, supporting production adoption, and translating deployment insights into product improvements. The role requires production Python and SQL experience, scientific or clinical fluency, strong customer communication, autonomous execution, and approximately 10% travel.

Own strategic customer relationships from post-implementation adoption through renewals and expansion. Manage account health, retention, upsells, cross-sells, executive relationships, business reviews, account planning, commercial negotiations, and internal coordination. Identify new use cases across genomic, imaging, clinical, and real-world data workflows while partnering with Product, Professional Services, Legal, and Finance.

Designs, builds, and operates core platform services for compute infrastructure, workflow orchestration, data pipelines, APIs, and MCP services. Responsibilities include improving reliability and observability, establishing operational standards, mentoring engineers, making architectural decisions, and translating enterprise customer needs into durable platform capabilities. The role supports AI-driven analysis of genomics and life sciences data at scale and requires hands-on backend, infrastructure, and distributed systems expertise.