Associate Director of AI Market Development

10x Genomics•Pleasanton, CA

About The Position

10x Genomics is seeking a technically fluent, commercially minded market development leader to build the market for large-scale perturbation and single-cell data among organizations developing AI and foundation models for biology. Customers include AI-native biotechs, large pharmaceutical discovery and data science groups, and technology partners building virtual cell and related models. The role requires understanding model builders’ data needs—including scale, perturbation design, quality, and consistency—and explaining how large-scale screens can support useful models and adoption of 10x platforms. This is a builder role in a new market without an established playbook. The successful candidate will be entrepreneurial, credible with machine learning and biology teams, and comfortable creating demand before the category is fully defined. The role develops market strategy, builds an ecosystem of customers and partners, collaborates across commercial, product, R&D, corporate development, and marketing teams, and reports market insights and business impact to executive leadership.

Requirements

Advanced degree in genomics, computational biology, machine learning, molecular biology, or a related field; a PhD is preferred.
7 to 10+ years of experience in AI-driven drug discovery, functional genomics, life science tools, or biopharma, including market development, business development, strategy, or commercial roles.
Working knowledge of single-cell technologies, CRISPR and perturbation screens, and how data feeds machine learning and foundation models.
Established relationships with pharma discovery, data science, or AI-bio leaders, and ability to influence senior stakeholders.
Ability to build and execute a strategy in an undefined market and work without a playbook.
Excellent storytelling, executive communication, and cross-functional leadership skills.

Nice To Haves

Experience at an AI-native biotech, a technology or cloud company with a life sciences group, or a data or tools company selling to discovery teams.
Experience structuring partnerships or data agreements with pharma or AI companies.
Ability to hold credible conversations with machine learning scientists and biologists alike.

Responsibilities

Define and own the market development strategy for AI-driven science, focusing on large-scale perturbation screens and drug discovery applications.
Segment the market and size demand across AI-native biotech, pharma in-house AI teams, technology companies, and academic model builders.
Identify data requirements, use cases, and customer decision points that lead to purchases of large-scale single-cell and perturbation data.
Build competitive positioning and a perspective on where 10x data and platforms are the best inputs for model training and validation.
Build relationships with AI-bio companies, pharma discovery and data science leaders, and technology and cloud partners.
Shape and support partnerships, lighthouse collaborations, and benchmark or dataset programs demonstrating the value of 10x data for model development.
Develop thought leadership with customers and investigators through publications, conference presence, and advisory relationships.
Work with the commercial team to identify flagship accounts, build pipeline, and advance large-scale screen opportunities through long sales cycles.
Bring customer and market insights to Product, R&D, and Corporate Development to influence platform roadmap, scale, and partnership decisions.
Partner with Marketing Communications to turn customer evidence into narratives, content, and sales enablement for pharma audiences.
Coordinate with the translational market development team so discovery and translational customers are served coherently.
Build an insights engine tracking model builders, data purchases and public datasets, competitive offerings, and technology trends.
Brief executive leadership regularly on market signals and strategic opportunities.
Track and report impact metrics tied to pipeline creation, flagship accounts, partnerships, and revenue.