Scientific Product Marketing Manager - Scientific AI Use Cases

TetraScience Product Marketing Leader

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life, at scale, in a growing suite of data management and automation products and AI-enabled Scientific Use Cases.

TetraScience is the category leader in this emerging and critical market. The world's leading compute, cloud, data, and AI infrastructure providers have aligned with TetraScience as the de facto standardforming strategic co-innovation and go-to-market partnerships.

In connection with your candidacy, you will be asked to review the Tetra Way letter, authored by our CEO, Patrick Grady. This letter is critical in helping you determine whether TetraScience is the right fit for you. If you join us, you'll be expected to live out its contents every day.

We are seeking an elite product marketing leader to define and execute our go-to-market strategy for Scientific Analytics and AI use cases - applications that accelerate drug discovery, development, manufacturing and QC by fusing curated scientific data with cutting-edge AI models and data visualizations.

This is a role for a high clock-speed thinker, a doer, a collaborator, and an evangelist. You are passionate about solving humanity's greatest challenges through the transformative power of data and AI. You bring a deep understanding of the scientific lifecycle, the needs of biopharma, and the challenges of deploying AI.

You are obsessed with clarity and storytelling. You translate technical innovation into customer value and engagement. You thrive at the intersection of product, marketing, sales, and scienceand know how to orchestrate messaging, content, and strategy that makes Scientific AI real and indispensable for the pharmaceutical industry.

You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of delivering best-in-class products to market and ensuring high levels of customer adoption.

In this role, you will own the product marketing strategy and execution for a rapidly expanding portfolio of Scientific Analytics and AI use cases, built on the Tetra Scientific Data and AI Cloud and in collaboration with the world's leading biopharma companies. These use cases span the pharmaceutical value chain.

You have spent your most formative years relentlessly focused on the digitalization of the life sciences laboratory. You are unaccepting of the status quo - i.e., the data silo quagmire, point-to-point integrations, lack of visionary data strategy, and IT "projects" v. productized data stacks.

You will know that only by replatforming and reengineering all available scientific data can you unlock the potential for the life sciences industry to achieve advanced scientific and operational outcomes via Scientific AI.

You will shape and scale how we present these solutions to the worldthrough compelling messaging, differentiated positioning, effective packaging, pricing strategies, and go-to-market enablement.

You'll collaborate deeply with product management, demand generation, solutions, field sales, and our scientific SMEs (business analysts, data architects, and applied AI engineers) to drive awareness, education, and pipeline for our Scientific AI solutions.

Responsibilities

• Define and continuously refine messaging and positioning for Scientific Analytics and AI use cases, ensuring clarity and differentiation across applications and personas.
• Develop packaging, pricing, and tiering strategies to scale adoption across the world's leading biopharmaceutical companies.
• Build technical and visionary marketing contentsolution briefs, blog posts, web copy, webinars, white papers, video scripts, presentations, and customer stories.
• Partner with sales and field enablement to deliver high-impact tools, pitch decks, ROI calculators, battlecards, and competitive intelligence that drive sales velocity.
• Drive engagement with relevant biopharma and data science personas, including Heads of R&D, manufacturing and QC, Data Science leads, and Scientific IT.
• Collaborate with Product to influence roadmap decisions based on market and customer insight.
• Represent TetraScience at industry events, customer briefings, and Scientific AI showcases.
• Define and track metrics to assess content performance and contribution to the sales pipeline.