Product Management Lead

Scorpion Therapeutics; California (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

Genesis Molecular AI seeks a Product Manager to oversee internal AI and computational chemistry platforms, accelerating drug discovery workflows. You will define roadmaps and lead cross-disciplinary collaboration among ML, chemistry, biology, and engineering teams to deliver scalable AI-driven solutions.

Key focus areas include creating a closed-loop AI chem pipeline, enhancing data-driven decision-making, and standardizing scalable workflows to speed up model-lab feedback cycles, with a strong

Qualifications

• PM with 5+ years; background in CS/engineering/chemistry or related fields.
• Strong understanding of ML systems and data infrastructure.
• Experience with drug discovery processes and biotech workflows.

Responsibilities

• Define and execute product roadmaps for internal AI and computational platforms.
• Foster cross-disciplinary collaboration among ML, chemistry, biology and engineering teams.
• Translate scientific and technical needs into scalable solutions.
• Drive strategic programs accelerating drug discovery workflows.
• Lead stakeholder engagement and manage cross-functional priorities.

Skills

Product management

ML systems

Data infrastructure

Cross-disciplinary collaboration

Drug discovery

Tools

GEMS

Pearl

Computational chemistry platforms

Job description

Role: Product Manager overseeing internal AI and computational chemistry platforms within Genesis Molecular AI, focused on accelerating drug discovery workflows.

Responsibilities include defining and executing product roadmaps, facilitating cross-disciplinary collaboration among ML, chemistry, biology, and engineering teams, and translating scientific and technical needs into scalable solutions.

The role aims to create a closed-loop AI chem pipeline, enhance data-driven decision-making, and standardize scalable workflows to speed up model-lab feedback cycles.

Requirements: 5+ years in product management, with a background in computer science, engineering, chemistry, or related fields; strong understanding of machine learning systems, data infrastructure, and drug discovery processes.

Preferred: experience in biotech/pharma, frontier AI, or computational research, with knowledge of structural biology or molecular AI.

High-value specifics include focus on generative and predictive AI models like GEMS and Pearl, in a highly technical environment driving innovations in molecular design and optimization.

The role involves strategic and operational leadership, stakeholder engagement, and driving impactful projects that advance the company’s mission to revolutionize drug development through cutting-edge AI technologies.