About Condor

Every year, hundreds of billions of dollars are invested to discover and develop new therapies, yet the financial infrastructure behind that work has not kept pace. Clinical operations and finance live in disconnected worlds, forcing teams to make high-stakes decisions using fragmented tools and static data.

Condor exists to change that. We are a system of action, building the financial intelligence layer that will power the next era of clinical development. Condor connects clinical operations, vendor activity, and financial signals into a single, real-time intelligence layer, giving R&D and finance leaders true command over how their organizations operate. Our platform is pharma-native, AI-driven infrastructure — built around an operation layer of guarded, audited business logic, a bitemporal source of truth, and AI agents that reason over real clinical and financial data. We are a high-growth Series A company backed by Insight Partners, Felicis, and 645 Ventures, growing rapidly with Top 200 biopharma companies.

About Condor

About the Role

As a Forward Deployed Engineer, you sit at the intersection of engineering, product, and customer delivery. Embedded directly with biopharma customers, you will learn their clinical and financial workflows firsthand to design and deploy high-impact, AI-powered solutions.

This is an active engineering role, not solutions consulting. When you spot a problem in the field, you solve it by opening PRs against our core codebase—building production-grade capability rather than throwaway prototypes. Working alongside product and customer leadership, you are the technical authority in the room, driving rapid execution with zero translation layer.

Your insights from field deployments directly feed back into our core platform architecture and product roadmap. It is a highly autonomous, hands-on opportunity for an engineer who thrives in high-stakes environments and wants to shape the future of biopharma infrastructure.

What You’ll Do

Embed directly with biopharma customers to understand their workflows, constraints, and definition of success across both finance (accruals, forecasting, reconciliation) and clinical operations (vendor activity, study execution, operational data)

Uncover and validate new use cases in the field to the granular details, including clinical operations problems adjacent to finance and clinical operations and turn the most valuable ones into product

Design, build, and deploy AI-driven solutions to real operational problems — fast, in days rather than quarters

Turn ambiguous customer requirements into technical architecture and ship them into Condor’s core platform, not one-off prototypes

Build and maintain production systems: Django services and APIs, agent workflows on AWS Bedrock, data integrations, monitoring, and feedback loops

Build customer-facing systems end-to-end—from UI to backend to data to AI—to surface a capability fully.

Own deployments end-to-end, from initial scoping through launch and iteration