Job description

Role Descriptions & Responsibilities BIOVIA is looking for a Senior Product manager to own the product strategy and roadmap for our virtual companion’s laboratory science competency and skills. BIOVIA currently supports the organizations that depend on scientific innovation to differentiate themselves, including leading pharmaceutical, biotechnology, chemical, consumer goods and advanced materials companies. One of our virtual companions, MARIE, was developed by BIOVIA for deep science and is now generally available on the 3DEXPERIENCE platform. This role owns MARIE's Laboratory Science competency: the agentic Skills that carry out laboratory work, covering areas including experiment authoring and analysis, materials and inventory management, procedure execution support, and results interpretation. The competency spans every vertical BIOVIA serves, including biosciences, small molecule and synthetic chemistry, formulation, food and beverage, consumer packaged goods, and advanced materials, and applies across research, development and QA/QC laboratories. Some more of your responsibilities include the following: · Identify and prioritize the laboratory use cases worth automating, working directly with scientists, lab managers and QA stakeholders across research, development and QA/QC environments. · Decompose laboratory workflows into agent-executable tasks, specifying the inputs, tools, decision points, failure modes and human checkpoints for each. · Define how agents interact with the ONE Lab data model on 3DEXPERIENCE, and determine when laboratory data held in legacy on-premise systems needs to be brought into scope. · Contribute to and implement the evaluation framework for agent quality in MARIE: how correctness is judged, how first-pass acceptance is measured, and what evidence is required before a Skill reaches production. · Own the autonomy roadmap, determining where human-in-the-loop remains necessary, where supervised autonomy is defensible, and what audit trail, traceability and validation controls each step demands. · Partner with the Scientific AI and Lab organizations, whose priorities this role must reconcile, and with the product managers responsible for other MARIE competencies. · Evaluate potential partnerships with laboratory automation and robotics providers where agentic software workflows could extend to physical execution. · Represent the product externally and internally through customer engagements, webinars, conference presentations and live demonstrations Qualifications · Bachelor's degree in a scientific or engineering discipline relevant to laboratory work, but Masters or PHD in a scientific discipline is preferred. o Equivalent depth acquired through professional experience in laboratory operations or laboratory informatics will be considered in place of a scientific degree · 5+ years in product management or a comparable product-ownership role in enterprise software. · Direct working knowledge of laboratory informatics systems (LIMS, ELN, LES, instrument data capture or inventory management) as a product manager, implementer, or practitioner. · Practical, hands-on knowledge of LLM-based and agentic systems: task planning and decomposition, tool calling and multi-agent orchestration, retrieval grounding, evaluation methods, common failure modes and their detection, and the drivers of cost, latency and reliability. · Proficiency using AI tools in day-to-day product management work, including research and synthesis, requirement and specification drafting, data analysis and content production. · Demonstrated ability to translate a complex scientific or operational workflow into a specification an engineering team can build against. · Working understanding of regulated laboratory environments: GxP, 21 CFR Part 11, audit trails, electronic signatures and data integrity expectations. · Demonstrated experience presenting to technical and executive audiences, including live product demonstration. · Strong written communication. Preferred · Hands-on laboratory experience, in research, development or QA/QC. · Experience defining evaluation or benchmarking frameworks for AI systems. · Ability to build working prototypes using AI development tools such as Cursor, sufficient to test an idea before committing engineering effort to it. · Familiarity with laboratory data standards and instrument integration (Allotrope, AnIML, SiLA). · Exposure to computer systems validation in regulated environments. · Experience assessing or managing technology partnerships. · Familiarity with laboratory automation, scheduling or robotics. · Familiarity with the 3DEXPERIENCE platform or the BIOVIA portfolio. #LI-HYBRID Shape your career with3DS! #WeAre3DS Compensation & Benefits Dassault Systèmes offers an excellent salary with potential for bonus, commensurate with experience. Benefits include a choice of plans providing comprehensive coverage for medical, dental, vision care for employee & dependents as well as employee life, short & long term disability, tuition reimbursement, immediate 401K enrollment, 401K match (50 cents on the dollar, up to the first 8% of your eligible compensation that you contribute based on match eligibility criteria), flexible time off policy, and 10 paid holidays. Inclusion statement In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history. Salary Pay Transparency Compensation for the role will be commensurate with experience. The total expected compensation range will be between $145000 and $180000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

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Must-haves

Role Descriptions & Responsibilities
Some more of your responsibilities include the following:
Identify and prioritize the laboratory use cases worth automating, working directly with scientists, lab managers and QA stakeholders across research, development and QA/QC environments.
Decompose laboratory workflows into agent-executable tasks, specifying the inputs, tools, decision points, failure modes and human checkpoints for each.
Define how agents interact with the ONE Lab data model on 3DEXPERIENCE, and determine when laboratory data held in legacy on-premise systems needs to be brought into scope.
Contribute to and implement the evaluation framework for agent quality in MARIE: how correctness is judged, how first-pass acceptance is measured, and what evidence is required before a Skill reaches production.
Own the autonomy roadmap, determining where human-in-the-loop remains necessary, where supervised autonomy is defensible, and what audit trail, traceability and validation controls each step demands.
Partner with the Scientific AI and Lab organizations, whose priorities this role must reconcile, and with the product managers responsible for other MARIE competencies.
Evaluate potential partnerships with laboratory automation and robotics providers where agentic software workflows could extend to physical execution.
Represent the product externally and internally through customer engagements, webinars, conference presentations and live demonstrations
o Equivalent depth acquired through professional experience in laboratory operations or laboratory informatics will be considered in place of a scientific degree
5+ years in product management or a comparable product-ownership role in enterprise software.
Direct working knowledge of laboratory informatics systems (LIMS, ELN, LES, instrument data capture or inventory management) as a product manager, implementer, or practitioner.
Proficiency using AI tools in day-to-day product management work, including research and synthesis, requirement and specification drafting, data analysis and content production.
Demonstrated ability to translate a complex scientific or operational workflow into a specification an engineering team can build against.

Nice-to-haves

Bachelor's degree in a scientific or engineering discipline relevant to laboratory work, but Masters or PHD in a scientific discipline is preferred.
Hands-on laboratory experience, in research, development or QA/QC.
Experience defining evaluation or benchmarking frameworks for AI systems.
Ability to build working prototypes using AI development tools such as Cursor, sufficient to test an idea before committing engineering effort to it.
Familiarity with laboratory data standards and instrument integration (Allotrope, AnIML, SiLA).
Exposure to computer systems validation in regulated environments.
Experience assessing or managing technology partnerships.
Familiarity with laboratory automation, scheduling or robotics.
Familiarity with the 3DEXPERIENCE platform or the BIOVIA portfolio.

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Dental

Vision

401k