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Condor Software

Biopharma finance automation and forecasting platform

Forward Deployed Engineer - Biopharma/Lifescience

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • The candidate must have held a forward-deployed, founding-engineer, or similar zero-to-one customer-facing role and turned real-world requirements into shipped software.
  • The candidate must have 4–10 years of software engineering experience and experience building and owning end-to-end production systems.
  • The candidate must use large language models and agent frameworks, including function calling or tool use, retrieval-augmented generation, and evaluations, to build systems quickly, and own their reliability, evaluation, and cost.
  • The candidate must have a track record of implementing customer-problem solutions directly in a shared core codebase.
  • The candidate must have strong software engineering fundamentals and proficiency in Python and Django, data modeling and SQL on PostgreSQL, and AWS, including Bedrock, ECS/Fargate, and Lambda.
  • The candidate must be able to communicate with technical and non-technical stakeholders and be credible in front of customers.
  • The candidate must be able to work independently in a fast-changing, ambiguous environment and drive deployments to completion.

Responsibilities

  • Embed directly with biopharma customers to understand workflows, constraints, and success criteria across finance, including accruals, forecasting, and reconciliation, and clinical operations, including vendor activity, study execution, and operational data.
  • Uncover and validate use cases in the field, investigate detailed clinical operations problems adjacent to finance and clinical operations, and turn valuable use cases into product.
  • Design, build, and deploy AI-driven solutions to operational problems rapidly.
  • Translate ambiguous customer requirements into technical architecture and ship solutions into Condor’s core platform rather than as one-off prototypes.
  • Build and maintain production Django services and APIs, agent workflows on AWS Bedrock, data integrations, monitoring, and feedback loops.
  • Build customer-facing systems end-to-end across user interface, backend, data, and AI.
  • Own deployments from initial scoping through launch and iteration.
  • Operate in high-stakes environments where reliability, speed, accuracy, and judgment matter, including financial data customers use to close their books.
  • Identify patterns across deployments and codify field work into core product and platform capabilities.
  • Partner with Product and Engineering to influence the roadmap, abstractions, and long-term system design.
  • Travel occasionally to customer locations as needed.

Desired Qualifications

  • React experience for customer-facing user interfaces.
  • Experience at companies known for the forward-deployed engineering or zero-to-one model, such as Palantir, Anduril, Cursor, or Cognition.
  • Experience with vector search and retrieval tools such as Pinecone or pgvector, and graph or relationship stores such as Neo4j.
  • Exposure to clinical operations, biopharma research and development, financial systems, or other regulated, high-correctness data domains, or experience integrating with clinical and financial systems such as enterprise resource planning, clinical trial management systems, electronic data capture, procurement, or vendor feeds.
  • Experience building evaluation and observability for large language model applications.

About the Company

Condor Software

Biopharma finance automation and forecasting platform

Condor Software provides a cloud-based financial intelligence platform for biopharma, MedTech, and CROs that unifies clinical, operational, and financial data into a single source of truth for trial finances. It works by connecting to ERP and CTMS systems and automating processes such as clinical accruals, financial planning and forecasting, vendor management, and audits through its Copilot, Compass, and Connect products, giving teams real-time visibility into R&D spend. The company differentiates itself by targeting life sciences finance at scale with a dedicated SaaS platform that integrates multiple systems and delivers measurable outcomes like forecast accuracy and faster month-end closes. Its goal is to streamline fragmented clinical development finances, reduce manual work, ensure compliance, and speed up data-driven decisions in drug development.

Company size
51-200
Company stage
Series A
Total funding
$24M
Headquarters
San Diego, CA
Founded
2020

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