B
Not Specified Permanent

San Diego, California · USA job

BIOVIA Product Manager, Agentic Lab Informatics

Biovia

San Diego, California

Job description

Overview

As Senior Product Manager for MARIE's Laboratory Science competency, you own the strategy and roadmap for AI-enabled lab workflows on the 3DEXPERIENCE platform. You collaborate with scientists, lab managers, and QA to prioritize automation use cases and translate workflows into agent-driven tasks. You shape data-model interactions, autonomy governance, and validation criteria to deliver production-ready capabilities. This role connects Scientific AI, lab programs, and MARIE competencies to accelerate laboratory automation at scale.

Responsibilities
  • Identify and prioritize laboratory automation use cases with scientists, lab managers and QA stakeholders
  • Decompose lab workflows into agent-executable tasks with inputs, tools, decision points, failure modes and human checkpoints
  • Define agent interactions with the ONE Lab data model on 3DEXPERIENCE and assess legacy systems scope
  • Contribute to evaluation framework for agent quality, including correctness, first-pass acceptance and required evidence
  • Own the autonomy roadmap, defining human-in-the-loop, supervised autonomy, and audit/validation controls
  • Partner with Scientific AI and Lab organizations and with other MARIE competencies
  • Evaluate partnerships with laboratory automation and robotics providers to extend workflows into physical execution
  • Represent the product externally and internally through customer engagements, webinars, and live demos
Key requirements
  • 5+ years in product management or comparable ownership in enterprise software
  • Direct working knowledge of laboratory informatics systems (LIMS, ELN, LES, instrument data capture or inventory management)
  • Practical knowledge of LLM-based and agentic systems: task planning, tool calling, multi-agent orchestration, retrieval grounding, evaluation methods, failure modes, and cost, latency, reliability implications
  • Proficiency with AI tools for research, requirement drafting, data analysis and content production
  • Ability to translate complex scientific workflows into actionable specifications for engineering teams
  • Working understanding of regulated laboratory environments (GxP, 21 CFR Part 11, audit trails, electronic signatures, data integrity)
  • Experience presenting to technical and executive audiences, including live product demonstrations
  • Strong written communication
  • strong communication
  • stakeholder alignment
  • strategic thinking
  • LIMS
  • ELN
  • LES

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