Technical Program Manager — Plant AI Research & Data Ops

The Electric Plant Co; San Francisco (CA); On-site; USD 220,000 - 250,000; Full time

Benefits offered by this job

Equity

Standard benefits

Presidio SF in-person office

Job summary

The Electric Plant Co. is hiring a Technical Program Manager to run our research roadmap and the DGP and partner operations that make it real: translating hypotheses into a trusted plan and coordinating with our science and AI/ML teams.

You'll manage external researchers (CROs, university partners), align on data-generation needs, and help build credibility through papers, a science advisory board, grants, and new research partnerships.

Qualifications

• Experience mapping data-generation programs from discovery to deployment.
• Ability to hold firm on data-quality and requirements with external partners.
• PhD or equivalent deep research training in life sciences or related field.
• Fluency coordinating with external CROs and university researchers.
• Strong written communication and ability to document plans trusted by scientists, engineers, and executives.
• Comfort working with minimal processes.

Responsibilities

• Validate capabilities across locations, ages, species ahead of deployment.
• Track active research bets from discovery to deployed capability.
• Source and manage external research partners to meet specs from day 0 to wrap.
• Translate between science/AI teams and external partners into a single plan.
• Build research capacity through partnerships, advisory board, grants, and partnerships.

Skills

Data-generation work

Experimental design

External partner management

Cross-functional coordination

Scientific communication

Education

PhD or equivalent deep research training

Plant physiology / agronomy background

Job description

The Electric Plant Co. is hiring a Technical Program Manager to run our research roadmap and the DGP and partner operations that make it real: translating hypotheses into a trusted plan and coordinating with our science and AI/ML teams.

You'll manage external researchers (CROs, university partners), align on data-generation needs, and help build credibility through papers, a science advisory board, grants, and new research partnerships.