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Senior Software / Data Engineer

Sleuth · Hybrid (San Francisco, California, US) · Hybrid

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About Sleuth

About Sleuth Sleuth is building a modern, agentic, and intelligent decision-making platform for the biopharma and life sciences industry. Backed by CRV and Felicis.

About the role

We are seeking an experienced data engineer who has built enterprise-grade, cloud-native data infrastructure and products. In this role, you’ll support our forward-deployed engineering efforts to build and ship data assets as part of pharma projects involving competitive intelligence and complex analytical tasks. You will be the primary bridge between these projects and the core engineering efforts to transform those assets into standard Sleuth platform AI-powered features.

What they're looking for

  • Design, develop, and operate AI-powered data solutions (ETL pipelines, entity extractions, and analytics) to deliver client projects
  • Investigate new tools and technologies and develop proof of concepts to accelerate the delivery of data solutions
  • Identify patterns that could be turned into platform capabilities and product features, document and analyze requirements, and deliver technical proposals
  • Collaborate closely with the rest of the engineering team to ship platform capabilities and product features
  • Develop applications and pipelines leveraging LLMs and modern agentic frameworks and tooling
  • Leverage large-scale datasets for advanced analytics
More about this role

About the role

We are seeking an experienced data engineer who has built enterprise-grade, cloud-native data infrastructure and products. In this role, you’ll support our forward-deployed engineering efforts to build and ship data assets as part of pharma projects involving competitive intelligence and complex analytical tasks. You will be the primary bridge between these projects and the core engineering efforts to transform those assets into standard Sleuth platform AI-powered features. You will need to have knowledge and working experience with complex datasets in the pharma and biotech industry, a broad knowledge of data engineering tools and technologies, and the ability to swing between short/mid-term deliverables with customers and the mid/long-term sleuth technology roadmap.

What you'll do

  • Design, develop, and operate AI-powered data solutions (ETL pipelines, entity extractions, and analytics) to deliver client projects.
  • Investigate new tools and technologies and develop proof of concepts to accelerate the delivery of data solutions.
  • Identify patterns that could be turned into platform capabilities and product features, document and analyze requirements, and deliver...

Read the full posting on Sleuth's site ↗

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