Senior Product Manager, Machine Learning

Precision Neuroscience • Santa Clara, CA

2h • Onsite

About The Position

Precision Neuroscience is seeking a Senior Product Manager, Machine Learning, to own product management for machine learning initiatives supporting clinical programs and the next-generation product roadmap. The role partners closely with the ML team and cross-functional teams to plan, prioritize, and deliver ML-driven features and capabilities.

The position owns the end-to-end product development life cycle for neural decoding capabilities, including understanding and prioritizing user needs, defining requirements and success metrics, and turning complex initiatives into actionable plans. The role is based in Precision Neuroscience’s Manhattan or Santa Clara office; remote workers and people not currently based in the United States with working rights cannot be considered.

Requirements

• 3–5 years of product management experience; experience focused on brain–computer interfaces, machine learning, and/or AI-driven products is ideal.
• Proven ability to drive the end-to-end product development life cycle for complex projects involving multiple internal stakeholders.
• Proven experience with Agile development, including sprint planning, backlog management, and epic/story creation, or a similar framework.
• Technical fluency in machine learning concepts, methodologies, and data pipelines sufficient to partner credibly with ML engineers.
• Strong track record working with cross-functional teams, including ML engineers, software engineers, UX researchers and designers, and clinical professionals.
• Excellent communication, interpersonal, and presentation skills.
• Comfort operating independently in a fast-paced, innovative environment.
• Must be based in the United States and have working rights; the position is based in the Manhattan or Santa Clara office, and remote workers cannot be considered.

Nice To Haves

• Experience in healthcare, neuroscience, or a related field.
• Product management experience focused on brain–computer interfaces, machine learning, and/or AI-driven products.

Responsibilities

• Collaborate with the ML lead and cross-functional stakeholders—including clinical, UX, hardware, software, and other product managers—to gather, define, and document user needs, detailed ML requirements, and success metrics.
• Partner with research and design to translate needs and requirements into user-centered features, and define implementation details and acceptance criteria for ML-driven features.
• Own day-to-day planning and management of the ML team’s work, including backlog generation, refinement, and prioritization; break complex ML priorities into scoped epics for sequencing and tracking.
• Partner with the clinical team to ensure the ML team has the data and patient enrollment needed for model development and validation.
• Support NSR case planning, goal-setting, and capture of learnings.
• Coordinate communication between the ML team and other departments, including regulatory, quality, UX, and software engineering.
• Manage the end-to-end product development life cycle for neural decoding capabilities, from prioritizing user needs through defining requirements and success metrics and organizing delivery plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed