Senior Program Manager, Machine Learning (AI)

TL;DR

Senior Program Manager (AI/ML): Leading machine learning initiatives from research to execution, ensuring strategic alignment and actionable insights. Focus on integrating emerging technologies, maintaining data quality, and fostering rapid experimentation to drive program progression.

Location: San Francisco, CA or Cambridge, MA (Hybrid and On-Site available depending on team needs).

Salary: $108,000–$186,000 USD per year

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.

What you will do

• Guide the ML program, ensuring strategic alignment and translating research insights into actionable initiatives.
• Evaluate and integrate emerging technologies to shape and refine program objectives.
• Lead technical projects, ensuring the robustness and scalability of the technology stack.
• Manage and maintain data quality and relevance, collaborating across teams to set and monitor performance metrics.
• Serve as the key interface between technical and business teams, effectively communicating complex outcomes and securing necessary resources.
• Develop clear documentation and reporting to communicate vision, progress, and align initiatives with organizational priorities.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a strong focus on AI/ML technologies.
• Proven experience in program management within research-driven or early-stage environments.
• Familiarity with ML frameworks and data management tools.
• Strong analytical and problem-solving skills, with the ability to turn technical requirements into actionable program roadmaps.
• Excellent organizational and communication skills, with experience leading cross-functional teams and driving programs to successful completion.

Nice to have

• A proactive leader passionate about transforming research insights into tangible program value.
• Skilled at managing both technical and operational aspects of early-stage program development, ensuring alignment with strategic business objectives.
• Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration.

Culture & Benefits

• Bonus potential and generous early equity.