Sr. Product Manager, Software & AI

EMD Millipore Corporation•Burlington, MA

7d•$116,600 - $175,000•Hybrid

About The Position

As the Sr. Product Manager for Software & AI, you will drive pioneering innovation in the strategy, development, and commercialization of cutting-edge software and AI-enabled solutions that revolutionize protein science workflows. This role requires deep expertise in scientific software and digital technologies, with a strong emphasis on transforming assay knowledge, customer insights, and automation data into smart, forward-thinking, and intuitive workflow innovations. You will collaborate closely with automation, R&D, software engineering, and data science teams to co-create advanced digital capabilities that set new standards for ease of use, reproducibility, and workflow efficiency across our Protein Sciences portfolio.

Requirements

Bachelor’s degree in biology, bioengineering, computer science, data science, or related field.
5+ years of experience with scientific software, digital platforms, or data/analytics solutions in life science research, drug discovery or related field.

Nice To Haves

M.Sc., Ph.D., or MBA
Experience in product management, scientific software development, applications, or equivalent
Experience with AI/ML applications in assay development, signal analysis, data interpretation, or workflow optimization
Familiarity with cloud‑based software, data pipelines, and workflow orchestration tools
Strong ability to translate scientific complexity into user‑friendly digital tools
Experience working across biology, software, engineering, and commercial teams

Responsibilities

Define and drive the technical roadmap for scientific software, data infrastructure, and AI/ML capabilities across the Protein Sciences portfolio, delivering differentiated data-driven and algorithm-enabled solutions.
Serve as the technical and innovation lead for scientific software and AI, bridging assay workflows, data models, and advanced analytics to enable next-generation protein analysis.
Identify and drive opportunities where AI and modern data methods unlock new capabilities, advancing assay development, signal processing, data harmonization, and performance monitoring beyond traditional approaches.
Translate customer, market, and workflow needs into software and AI product requirements, including data models, feature definitions, and user experiences aligned to real-world scientific applications.
Lead the integration of software, data, and automation systems, defining data capture, metadata standards, control interfaces, and interoperability across instruments and digital platforms.
Drive cross-functional product development and innovation, partnering with Software Engineering, UX, R&D, Automation, and PM Operations from concept through launch.
Evaluate and develop strategic partnerships with external software, data, and AI providers to accelerate platform capabilities and innovation.
Support go-to-market strategy and commercial enablement, including product positioning, messaging, and launch execution for software and AI solutions.