About Ceribell
Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography (“EEG”) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!
Position Overview:
Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography (“EEG”) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN’s across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!
Ceribell is seeking a highly motivated Senior Product Manager to lead the evolution of our Clarity seizure algorithm portfolio. This individual will play a critical role in defining next-generation algorithmic solutions.
The ideal candidate will bring a strong technical background, preferably in EEG, biomedical signal processing, or ML algorithm development, and be passionate about translating clinical needs into impactful solutions. This role will also serve as a key point of contact with Neurology Key Opinion Leaders (KOLs) to collect voice-of-customer insights and shape the roadmap for future product and algorithm innovation.
What you'll do:
- Conduct market research and competitive analysis to identify unmet clinical needs and define product strategies that align with Ceribell’s vision and business objectives
- Translate clinical needs into product and algorithm requirements.
- Serve as the Voice of Customer (VOC) by building and maintaining strong relationships with neurology KOLs and other stakeholders.
- Collaborate closely with cross-functional teams including Design, Engineering, Clinical, and Regulatory to design and develop the algorithm products.
- Partner with commercial teams to define go-to-market strategies that align with Ceribell’s vision and business objectives, support product positioning and launch plans.
What We're Looking For:
- Bachelor’s degree in Biomedical Engineering, Neuroscience, Electrical Engineering, Computer Science, or related technical discipline; Advanced degree (PhD or MD) preferred.
- Proven technical or clinical background in EEG signal processing, biomedical signal processing, or algorithm development.
- Proven experience managing algorithm or software product development lifecycles.
- 2+ years of product management or business analytics experience preferred.
- Ability to independently conduct product research, including literature review, physician interviews, and competitive landscape assessments.
- Strong analytical skills with the ability to derive market and product insights from complex data.
- Excellent executive communication, presentation, and stakeholder management skills.
- Ability to travel up to 25%.
A candidate’s final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell’s corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.
In addition to your base compensation, Ceribell offers eligible employees the following:
- Performance-based incentive compensation (varies by role)
- Equity opportunities
- 100% Employer paid Health Benefits for Employees
- 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
- 100% paid Life and Long-Term Disability Insurance
- 401(k) with a generous company match
- Employee Stock Purchase Plan (ESPP) with a discount
- Monthly cell phone stipend
- Flexible paid time off
- 11 Paid Holidays + 5 Company Wellness Days
- Excellent parental leave policy
- Fantastic culture with tremendous career advancement opportunities
- Joining a mission-minded organization!
Application Deadline: Ongoing
Equal Opportunity Employer
Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Any applicant with a disability who requires an accommodation during the application process should contact [email protected] to request reasonable accommodation.
Privacy Statement
For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.
Compliance Disclaimer
If you believe this job posting is non-compliant, please submit a report to [email protected]. Please note that we will not respond to inquiries unrelated to job posting compliance.
Top Skills
Ceribell Sunnyvale, California, USA Office
360 N Pastoria Ave, Sunnyvale, CA, United States, 94085
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
