---
title: 'Staff Software Engineer at Condor Software'
canonical: 'https://feeny.ai/job/staff-software-engineer-condor-software-san-francisco-5p7mc99vagth'
type: 'job'
last_seen: '2026-09-09'
---

# Staff Software Engineer at Condor Software

- **Company:** Condor Software
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-02-03
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/condor-software/98c029bb-878c-4af4-9b95-fbae2441161a

## Job description

## 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.

Condor is pharma-native, AI-driven infrastructure built to scale industry standards we helped define with Big 4 partners. It powers prediction, control, and execution across the most complex R&D environments in the world.

## WHY THIS MATTERS NOW

Condor has moved past proving the concept. Enterprise teams already trust Condor to run critical operations and finance. The work ahead is the hardest part: scaling something people depend on when the stakes are this high.

Condor is a high-growth company backed by top institutional partners like Felicis and 645 Ventures, growing rapidly with Top 200 biopharma companies. This is a rare opportunity to help build foundational infrastructure that will shape how new therapies reach patients.

## THE ROLE

We are looking for a Staff Software Engineer, Backend & Data to set the technical direction for the core data infrastructure behind Condor's financial intelligence platform. This role sits at the heart of how Condor turns complex clinical and financial activity into intelligence that enterprise biopharma teams trust to run their operations.

You will design and own the data foundations that power Condor's financial engine and AI-driven capabilities. That means modeling highly complex, high-stakes data, building reliable pipelines and services, and ensuring that downstream product features and intelligence workflows operate with accuracy, consistency, and scale. As a Staff engineer, you will drive architectural decisions that span multiple teams and establish the patterns others build on. The systems you shape will directly support mission-critical finance and operational use cases, not dashboards or experiments.

This is a hands-on, high-leverage role with broad technical ownership. You will work across backend services, data pipelines, and APIs, taking the hardest problems from design through production, while raising the bar for how the wider engineering organization models, moves, and serves data. You will help define the schemas, transformations, and architectural patterns that become the backbone of the platform as it scales. While the primary focus is backend and data engineering, you are expected to engage pragmatically across the stack—including machine learning and AI systems—to ensure data and intelligence are surfaced correctly in the product.

This role is for engineers who want to build durable infrastructure under real-world complexity, where correctness, trust, and scale are not optional, and where the systems you design will shape how an entire industry operates.

## KEY RESPONSIBILITIES

- Set technical direction for Condor's data platform, driving cross-team architectural decisions on data modeling, storage strategies, and integration with LLMs, embeddings, and vector databases.
- Design, build, and maintain scalable data pipelines that ingest, normalize, and transform financial and clinical trial data from multiple internal and external sources, with a focus on making data suitable for analytics, reporting, and LLM-based AI agents.
- Develop backend services and data access layers that expose high-quality financial data to internal systems and customer-facing features, ensuring data is structured for direct consumption by LLMs and automated workflows.
- Implement and operate embedding pipelines and vectorized representations of structured and semi-structured data to support semantic search, RAG, and agentic workflows.
- Partner with ML and AI engineers on feature pipelines, model inputs, and serving patterns, ensuring data foundations support both classical machine learning and LLM-based systems in production.
- Optimize database performance, query execution, and batch processing jobs to support large-scale financial datasets and AI-driven access patterns.
- Work closely with product managers and analysts to translate business requirements into durable datasets, metrics, and APIs.
- Contribute to frontend implementations to ensure data-heavy and AI-enabled features are presented clearly and correctly.
- Mentor engineers across teams on data modeling best practices, SQL performance optimization, ETL design patterns, and building reliable, observable data systems.

## REQUIRED SKILLS & EXPERIENCE

- 8+ years of professional software engineering experience, with a strong focus on backend development and data engineering, including demonstrated Staff-level technical leadership and cross-team impact.
- Deep expertise in SQL and relational database design (PostgreSQL, MySQL, or similar), including complex analytical queries and performance tuning.
- Experience building and operating ETL or ELT pipelines using orchestration frameworks (Airflow, Dagster, Prefect, or AWS Step Functions).
- Production experience building AI-powered data systems, including vector databases (pgvector, Pinecone), embedding pipelines, and designing data access patterns for RAG and agentic workflows.
- Solid exposure to machine learning: understanding of the ML lifecycle (feature engineering, training, evaluation, and serving) and experience building the data foundations that power ML and AI systems in production.
- A pragmatic approach to the full stack, including a willingness to contribute to React codebases to ensure data-heavy features are delivered end-to-end.
- Familiarity with data quality validation, testing, and monitoring practices in production systems.
- Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

## PREFERRED QUALIFICATIONS

- Strong proficiency in Python, with experience using web frameworks (Django, DRF).
- Experience working with modern data warehouse platforms (Snowflake, BigQuery, Redshift).
- Hands-on experience with the ML/MLOps stack—building feature pipelines, and training or serving models in production (SageMaker, MLflow, or similar).
- Experience integrating backend systems or data pipelines with LLM APIs for enrichment, summarization, or analysis.
- Experience with data transformation and validation tools (dbt, Great Expectations).
- Experience building production AI features end-to-end, including LLM integration, prompt engineering, agentic workflows, and observability/evaluation frameworks.
- Experience working in a Series A-C startup with rapid scale.

## WHAT WE OFFER

- Competitive compensation and meaningful equity participation
- Comprehensive employee benefits, including 100% company-paid health, dental, vision, and life insurance
- 401(k) plan with a 3% company match that vests immediately
- Unlimited PTO

Condor is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected status.

## About Condor Software

## Company Overview
- **One-liner**: Condor Software is an AI-powered financial intelligence platform that unifies clinical, operational, and financial data for life sciences R&D teams.
- **Entity Type**: Private (Series A – $24M raised in March 2026, total funding $36M)
- **Headquarters**: San Diego, California, USA
- **Founded**: 2020
- **Founders**: Jennifer Kyle (CEO)

## Core Business
- **Primary industry**: Life sciences/healthcare IT – financial software for biopharmaceutical R&D
- **Target customers**: B2B – CFOs, FP&A, Accounting, and Clinical Operations teams at biopharma companies
- **Mission**: “Intelligent finance for life sciences” – helping bring life-saving treatments to patients faster by eliminating inefficiencies in clinical trial finance.

## Products & Services
- **Condor Platform**: AI-powered financial intelligence layer that automatically ingests data from CROs, CTMS, ERP, EDC, procurement, and FP&A tools into a proprietary data model built for drug development economics. Covers accruals, vendor management, change order management, and a guided financial close checklist.
- **Advanced Analytics & Dynamic Scenario Suite** (launched May 2026): Customizable executive dashboards and scenario-aware forecasting that lets teams model enrollment delays or site activations without corrupting actuals, with live, shareable reports.
- **Clinical Finance AI Agents** (previewed): Automated subject‑matter experts that surface patterns, flag risks, and bridge context between clinical operations and finance, built on a clinical and financial ontology co‑developed with Big 4 firms.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: Manages over $19 billion in R&D spend
- **Notable Investors/Partners**: Insight Partners (led Series A), Felicis, SNR Ventures, Bramalea Partners, 645 Ventures, Prebys Ventures; co-developed with Big 4 accounting firms (KPMG, EY); trusted by Acadia Pharmaceuticals, Alumis Therapeutics, BridgeBio Pharma, Madrigal Pharmaceuticals.
- **Growth Signals**: $24M Series A closed March 2026; launched Advanced Analytics suite in May 2026; previewed AI agents; headcount growing (jobs listed on Ashby).

## Competitive Advantages
- **Purpose-built for clinical trial complexity** – not a generic FP&A tool; connects clinical and financial data natively.
- **Co-developed with Big 4** – built‑in compliance (SOX/SOC), audit trails, and controls that meet auditor expectations.
- **Proprietary clinical finance ontology & knowledge graph** – automatically updates as protocols, enrollment, or vendor contracts change.
- **Go‑live in weeks** – customers report rapid implementation versus years of configuration for generic tools.

## Strategic Focus
- Cover the full R&D financial lifecycle: from automated close through forecasting and scenario planning to executive reporting.
- Expand AI agent capabilities to further bridge clinical operations and finance.
- Continue scaling the platform to support portfolio‑level analysis without adding headcount.

## Why Work Here
- **Mission‑driven**: “Help bring life-saving treatments to patients faster” – employees work on eliminating inefficiencies that delay therapies.
- **Built by industry veterans** – leadership team has deep experience scaling global biopharma and CRO operations ([condorsoftware.com](https://www.condorsoftware.com/company/leadership)).
- **Fast‑growing startup** – recent $24M Series A from Insight Partners signals strong traction and investment in product/team.
- **Culture**: “Built with purpose. Yours.” – emphasis on empowering innovators behind clinical breakthroughs ([condorsoftware.com](https://condorsoftware.com/company/about)).
- **Work policy**: Not explicitly disclosed; HQ in San Diego (401 West A Street) – likely hybrid/office with remote flexibility (check careers page for details).
- **Notable perks**: Enterprise‑grade engineering, AI‑first product, visibility with top biopharma customers.

## Sources
1. [condorsoftware.com](https://www.condorsoftware.com/)
2. [condorsoftware.com/about](https://condorsoftware.com/company/about)
3. [condorsoftware.com/leadership](https://www.condorsoftware.com/company/leadership)
4. [cbinsights.com](https://www.cbinsights.com/company/condor-software)
5. [PRNewswire (May 2026)](https://www.prnewswire.com/news-releases/condor-software-launches-advanced-analytics-and-dynamic-scenario-suite-302487006.html)
6. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/condor-software)

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