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Veeva Systems

Builds cloud software for life sciences

Senior Technical Product Manager - AI

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeBoston, MA, USA

About the Job

Requirements

  • At least 7 years of experience in enterprise software product management, engineering, or data science.
  • At least 2 years of hands-on focus on artificial intelligence and machine learning applications, specifically large language models and generative artificial intelligence.
  • Strong coding skills in languages such as Python and experience with artificial intelligence frameworks such as LangChain and LlamaIndex, and APIs.
  • Deep understanding of data flow design, prompt engineering, and model fine-tuning for highly regulated content.
  • Ability to translate complex artificial intelligence concepts into business value for non-technical stakeholders in Legal, Medical, and Regulatory departments.
  • Proven track record of working with user experience and Engineering to build intuitive tools for complex workflows.
  • Experience with data modeling using entity-relationship diagrams.
  • Bachelor’s degree in engineering, computer science, or a related discipline.
  • Must be based in a region in the Eastern Standard Time zone.
  • Must be legally authorized to work in the United States or Canada.

Responsibilities

  • Design, prototype, define, configure, and validate solutions rapidly to solve customer problems in the right order.
  • Design, implement, and iterate on solutions.
  • Author and design high-quality specifications and communicate specific, actionable requirements to engineering teammates.
  • Work with Engineering, Quality Assurance, and Product Management to build solutions that work across Veeva applications.
  • Lead the design of production-ready artificial intelligence agent applications, focusing on data flow orchestration, retrieval-augmented generation architectures, and complex prompt engineering.
  • Identify high-impact use cases where large language models can solve non-deterministic problems in Medical Affairs workflows.
  • Define and track clear key performance indicators for artificial intelligence success to demonstrate return on investment to stakeholders.

Desired Qualifications

  • Direct experience with Veeva Vault Medical.
  • Familiarity with scientific literature planning, authoring, review, submissions, or publishing.
  • Experience in a data scientist, machine learning, or data engineering role.

About the Company

Veeva Systems

Builds cloud software for life sciences

Veeva Systems builds cloud software and data products for pharmaceutical, biotechnology and other life sciences companies. Its applications support clinical trials, regulatory submissions, quality management, drug safety and commercial teams that work with healthcare professionals. Teams use the software to organize documents, track records and coordinate regulated work across departments on Veeva's Vault platform. Veeva earns revenue from subscriptions to its software and data products, alongside implementation, consulting and other professional services. Founded in 2007, Veeva Systems is headquartered in Pleasanton, California, United States.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Pleasanton, CA
Founded
2007

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