Senior Product Manager, Machine Learning

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

About Precision Neuroscience

Precision Neuroscience is building a next-generation brain–computer interface (BCI) to heal and empower millions of people living with neurological conditions.

Our Values

• We build for human impact, measuring progress by the lives our work can change.
• We do no harm, holding ourselves to the highest standards of safety, integrity, and responsibility.
• We innovate with urgency, because the stakes are high and our users can’t wait.
• We bring sharp minds, open ears, pairing expertise with curiosity, humility, and respect.
• And we lead the way, taking ownership of our work and helping to shape the future of our field.

We are seeking a Senior Product Manager, Machine Learning to own product management for our machine learning initiatives. This individual will partner closely with our ML team and cross-functional teams to plan, prioritize, and deliver ML-driven features and capabilities in support of our clinical programs and next-generation product roadmap.

In this role you will own the end-to-end product development life cycle for our neural decoding capabilities: understanding and prioritizing user needs, defining clear requirements and success metrics, and breaking down complex initiatives into actionable plans to bring structure to fast-moving work. This is a unique opportunity to shape groundbreaking brain–computer interface technology that will directly impact the lives of people living with severe neurological conditions.

This position will be based in our Manhattan or Santa Clara office. We are unable to consider remote workers or people not currently based in the United States, with working rights.

Key Responsibilities

• Discovery & Requirements: Collaborate closely with the ML lead and cross-functional stakeholders (clinical, UX, hardware, software, and other PMs) to gather, define, and document user needs, detailed ML requirements and success metrics.
• Feature Definition & Acceptance Criteria. Partner with research and design to translate needs and requirements into user-centered features. Define implementation details and acceptance criteria for ML-driven features.
• ML Team Planning & Execution: Own the day-to-day planning and management of the ML team’s work, including backlog generation, refinement, and prioritization. Break down complex ML priorities into clearly scoped epics to sequence and track
• Clinical Collaboration: Partner with the clinical team to ensure the ML team has the data and patient enrollment necessary for model development and validation. Support NSR case planning, goal-setting, and learnings capture.
• Cross-functional Coordination: Ensure seamless communication between the ML team and other departments, including regulatory, quality, UX, and software engineering.

Skills, Knowledge And Expertise

• 3-5 years of experience in product management, ideally with a strong focus on brain computer interfaces, machine learning, and/or AI-driven products.
• Proven ability to drive the end-to-end product development life cycle for complex projects with multiple internal stakeholders.
• Proven experience in Agile development, including sprint planning, backlog management, and epic/story creation, or similar framework.
• Proven technical fluency in machine learning concepts, methodologies, and data pipelines to partner credibly with ML engineers to deliver ML-led features.
• Strong track record working with cross-functional teams including ML engineers, SW engineers, UX researchers and designers, and clinical professionals.
• Excellent communication, interpersonal, and presentation skills.
• Comfort operating independently in a fast-paced, innovative environment.
• Experience in healthcare, neuroscience, or a related field is a plus.

Diverse workforces create the best culture, company, and products. We at Precision are committed to an inclusive culture that celebrates the uniqueness and contributions of everyone.

As an equal opportunity employer, Precision does not discriminate on the basis of sex, race, religion, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment.

For roles based in Massachusetts

it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.