Staff AI Product Manager: Self-Driving Labs & Digital Twins

BlackCube Labs; Pennsylvania; Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

GSK is seeking a Staff AI Product Manager to own a major slice of the Enterprise AI opportunity portfolio, shaping how AI transforms process development worldwide. You will prioritize opportunities, structure problems, size value, prototype hands‑on, and align with forward deployed engineers to build scalable AI solutions.

You will lead high‑value AI opportunities in domain areas like self‑driving labs, digital twins, and in silico modeling, partnering with process science data analytics and R&D

Qualifications

• 10+ years of experience in AI/ML product strategy or senior product management within technology‑led organizations.
• Experience leading technology or AI initiatives from problem framing to delivery.
• Experience in pharmaceutical value chain areas (R&D, clinical, manufacturing, or commercial).

Responsibilities

• Identify and size high‑value AI opportunities within process development and related domains.
• Partner with FDE and engineering leads to steer engagements end‑to‑end.
• Build business cases with rigorous value sizing and executive alignment.
• Shape engagements end‑to‑end: scope, success criteria, exit conditions, and scaling paths.
• Drive platformization by turning one‑off solutions into reusable capabilities.

Skills

AI product management

Strategy & roadmap

Stakeholder management

Opportunity sizing

Prototyping

Data analytics

Digital twins

Self‑driving labs

Regulatory awareness

Cross‑functional leadership

Education

Bachelor's degree in technology or related field

Master's or PhD in a related field

Job description

GSK is seeking a Staff AI Product Manager to own a major slice of the Enterprise AI opportunity portfolio, shaping how AI transforms process development worldwide. You will prioritize opportunities, structure problems, size value, prototype hands‑on, and align with forward deployed engineers to build scalable AI solutions.

You will lead high‑value AI opportunities in domain areas like self‑driving labs, digital twins, and in silico modeling, partnering with process science data analytics and R&D