Technical Program Manager, Foundation Models

Summary

Join a world-class team at Genesis Therapeutics, a company at the forefront of AI and biochemistry, focused on developing AI foundation models for groundbreaking therapies. As the Technical Program Manager, you will be the operational leader, orchestrating critical scientific and engineering initiatives to deliver foundation models. You will manage large-scale compute resources, implement configuration management for reproducible research, and drive cross-functional execution. The role involves designing and maturing operational processes, ensuring clear communication across teams, and translating strategic research goals into executable roadmaps. You will work closely with AI researchers, platform engineers, and drug discovery teams. Success in this role requires a strong technical background and exceptional communication and collaboration skills.

Requirements

• A seasoned Technical Program Manager with significant experience managing complex ML, scientific computing, or biotech-focused projects
• A deeply technical partner whose background allows you to communicate fluently with ML researchers, platform engineers, and computational chemists
• An expert at navigating research-driven ambiguity , skilled at bringing structure, clarity, and focus to open-ended scientific projects, aligning priorities across science and engineering
• A master of execution and organization , able to translate high-level strategy into detailed plans and manage multiple concurrent workstreams flawlessly
• An exceptional communicator and collaborator who excels at building consensus and aligning technical and non-technical partners toward a common goal
• Passionate about advancing science through technology in high-impact, mission-driven work
• Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite

Responsibilities

• Orchestrate the end-to-end delivery of our foundation models , translating strategic research goals into executable roadmaps and concrete milestones
• Manage our large-scale compute resources , partnering with research and engineering leads to ensure efficient scheduling and allocation for our most critical experiments
• Implement and oversee configuration management , establishing best practices for experiments, data, and models to ensure research is reproducible, traceable, and robust
• Drive cross-functional execution and mitigate risk by proactively identifying dependencies, anticipating blockers, and ensuring clear communication across all teams
• Design and mature our operational processes , creating lightweight, effective systems for experiment tracking, project documentation, and model release governance
• Act as a central communication hub , ensuring stakeholders from the AI team, the drug discovery labs, and leadership are aligned and informed

Preferred Qualifications

• A BS or higher in Computer Science, Computational Chemistry, BioEngineering or a related field
• Experience at an early-stage biotech or AI startup
• Familiarity with small molecule drug discovery: cheminformatics, molecular property modeling, or structure-based design
• Hands-on experience with tools like Asana, Notion, GitHub, Weights & Biases, or similar experiment tracking and project management platforms