Precision Neuroscience
Senior Product Manager, Machine Learning
- Santa Clara, California
- Onsite
- full time
- Posted today
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About the role
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 first product, Layer 7, is designed to help people with severe paralysis
operate digital devices using only their thoughts—opening up new possibilities
for daily life.
Our team brings together experts in neurosurgery, AI and machine learning,
microfabrication, electrical engineering, clinical science, and more. We combine
deep technical rigor with a people-first mindset to turn breakthrough research
into real-world medical solutions.
As a Precision employee, you’ll join one of the fastest-moving and
best-capitalized companies in the emerging field of brain–computer interfaces.
Since our founding in 2021, we have raised more than $430 million, advanced our
technology through validation, and initiated human trials with leading hospitals
across the country.
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.
We prioritize candidate security. Please be aware that job offers will only come
from emails ending with @precisionneuro.io [http://precisionneuro.io]
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.
Precision Neuroscience does not accept unsolicited resumes or candidate profiles
from recruitment agencies, staffing firms, or third-party recruiters. Any
resumes submitted without a prior written agreement and an authorized job order
will be considered the property of Precision Neuroscience, and no fee will be
owed in the event a candidate is hired. All qualified candidates should apply
directly through our careers page.
Skills
- Product management
- Machine learning
- Brain-computer interface
- Agile development
- Backlog management
- Data pipelines
- Neural decoding
- Cross-functional leadership
- Clinical collaboration
- Requirement gathering
- Product development life cycle
- Technical fluency
- Stakeholder management
- User-centered design
- Healthcare technology
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