Director, AI Infrastructure Partnerships

Genesis Molecular AI

3d

About The Position

As Genesis continues to scale the industry’s most advanced molecular AI platform, GEMS, our relationships with leading AI organizations as well as our high-performance compute capacity serve as critical engines enabling us to train ever larger foundation models and deploy them at scale for industrial screening workloads.
We are looking for a seasoned operator who can navigate the volatile landscape for advanced AI chips, negotiate high-stakes complex multi-million dollar deals, forge transformational research collaborations and secure investment opportunities from leading AI organizations to accelerate AI research velocity at Genesis. This is a high-impact, business-led role that owns the end-to-end lifecycle of our critical AI infrastructure investments and strategic relationships with key technology partners as well as current and potential AI investors (from a16z to NVIDIA).
About Genesis Molecular AI
Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company’s generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets.
Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

Requirements

• AI Partnerships: 8+ years of industrial experience in external facing strategic roles partnering with AI cloud infrastructure providers and AI hardware leaders (e.g., strategic partnerships / business development in a high-growth AI organization, or venture capital / top-tier management consulting working with AI leaders)
• Advanced degree: MBA or other advanced degree in a STEM field from a top institution, or equivalent industrial experience; curiosity and willingness to learn emerging computational workflows for drug discovery are essential
• Experienced Negotiator: Proven track record of leading complex, multi-year AI compute deals (buy-side or sell-side), and demonstrated success in securing substantial investments for scaling AI
• Executive-level Communications: Exceptional written presentation skills, with a proven ability to level up complex technical and financial analyses for executive decision-making and build AI-oriented pitch decks for investors / partners
• Technically Fluent: A deep technical understanding of the AI computing landscape, including next-generation GPU / TPU chip architectures, high-performance networking considerations, and the evolving provider and partner ecosystem
• Financial Architect: Expert-level financial modeling skills and direct experience with strategic capacity planning and evaluating AI computing contract structures, including flexible capacity, reserved instances, and complex commitment models
• Strategic Operator: Experience operating in fast-paced, high-growth environments

Responsibilities

• Lead Genesis' partnership with NVIDIA and pursue additional strategic collaborations with leading AI organizations, including creative contract structures, equity investments, technical optimizations, co-publication opportunities, and data partnerships for access to or generation of public/proprietary experimental and synthetic data at scale
• Prepare materials articulating Genesis' platform vision and technology differentiation for current and potential AI partners and investors, and integrate themes / key narratives into Genesis’ broader external communications activities
• Serve as business lead and primary negotiator for all major cloud computing and AI infrastructure deals, securing high-end AI compute capacity at competitive rates and owning relationships with key AI partners
• Continuously evaluate the AI computing market, assessing trade-offs in cost, reliability, and availability across existing and prospective cloud providers to support AI research and platform deployment
• Partner with ML Engineering to forecast compute requirements across foundation model training, synthetic data generation, fine-tuning, and industrial-scale inference, optimizing performance and spend across multi-cloud environments and tracking utilization to maximize infrastructure value
• Drive the internal budget process for all compute spend, translating capacity plans into financial models across multiple time horizons including long-range corporate planning, and present recommendations to leadership on infrastructure capital allocation

What This Job Offers

• Job Type: Full-time
• Career Level: Director