Senior ML PM for Brain-Computer Interfaces

Precision Neuroscience; Santa Clara (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Precision Neuroscience is seeking a Senior Product Manager, Machine Learning to own ML-driven features for our clinical programs and next-generation brain–computer interface products. You will partner closely with our ML team and cross-functional groups to plan, prioritize, and deliver ML initiatives in a fast-moving, safety-conscious environment.

Based in Manhattan or Santa Clara, this role requires hands-on leadership, strong ML fluency, and excellent communication with clinical, hardware,

Qualifications

• 3-5 years of experience in product management.
• Proven ability to drive end-to-end product development for complex projects.
• Proven experience in Agile development, including sprint planning, backlog management, and epic/story creation.
• Proven technical fluency in machine learning concepts and data pipelines.
• Strong track record working with cross-functional teams including ML engineers, software engineers, UX researchers and clinicians.

Responsibilities

• Discovery & Requirements: gather and document user needs, ML requirements and success metrics.
• Feature Definition: translate needs into user-centered features and define acceptance criteria.
• ML Team Planning: manage backlog, prioritization, and epics.
• Clinical Collaboration: work with clinical team for data and patient enrollment.
• Cross-functional Coordination: align ML with regulatory, quality, UX, and software teams.

Skills

PM experience 3-5y

BCI/ML focus

Agile methodologies

ML concepts fluency

Cross-functional collaboration

Communication skills

Job description

Precision Neuroscience is seeking a Senior Product Manager, Machine Learning to own ML-driven features for our clinical programs and next-generation brain–computer interface products. You will partner closely with our ML team and cross-functional groups to plan, prioritize, and deliver ML initiatives in a fast-moving, safety-conscious environment.

Based in Manhattan or Santa Clara, this role requires hands-on leadership, strong ML fluency, and excellent communication with clinical, hardware,