Senior Product Manager, AI Figure Generation
BiorenderFull Time
Senior (5 to 8 years)
Candidates should possess a strong product orientation and storytelling instinct, grounded in real-world experience at the intersection of data, cloud, and life sciences. They must understand how to position a platform relevant to various technical personas, including CDOs, Heads of IT, scientists, data engineers, and AI practitioners. A systems thinking approach with an eye for simplification and scale is crucial, along with an understanding of data architecture and FAIR principles in enabling scientific AI. The ideal candidate thrives in high-growth, cross-functional environments and is motivated by building category-defining products and narratives.
The Senior Product Marketing Manager will define and drive the go-to-market strategy for the Tetra Scientific Data and AI Cloud platform. This involves crafting clear, compelling positioning, messaging, and sales enablement materials in collaboration with Product, Engineering, Sales, and Strategic Partners. Responsibilities include shaping the narrative for the ecosystem, supporting partner co-marketing efforts with major cloud and AI partners, and serving as the voice of the platform in customer briefings, industry events, webinars, and analyst conversations. The role requires owning the platform product marketing strategy across all technical personas, defining and refining positioning, messaging, and value propositions, and creating product marketing content such as solution briefs, explainer videos, competitive battlecards, web copy, white papers, and thought leadership assets. Additionally, the manager will collaborate with sales and field teams to deliver training and content that accelerates pipeline and sales velocity, and track key metrics to evaluate market opportunity, share, impact, and adoption patterns.
Cloud platform for scientific data management
TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.