Senior Manager, Applied AI Engineering - Remote

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 : The Senior Manager, Applied AI Engineering is a senior individual contributor role with broad ownership across Ceribell's internal AI engineering portfolio. This person will carry projects from initial problem definition through production deployment, operating effectively under conditions of ambiguity and incomplete specification. The technical bar is high — this is first and foremost an engineering role — but the ability to engage at the business layer and translate between technical and commercial realities is equally non-negotiable.   This role reports directly to the Director of Strategic Programs and Applied AI and works in close, ongoing collaboration with Engineering leadership. The successful candidate will direct external engineering contractors, partner cross-functionally with stakeholders across commercial, clinical, finance, and operations, and take on expanding ownership of the AI project portfolio as the function scales.   This is a remote position. Candidate can be based anywhere within the US. What you'll do: Assume end-to-end ownership of AI engineering projects across the portfolio — from requirements definition through architecture, development oversight, and production deployment Design  GCP  infrastructure across all environments , in partnership with engineering : Cloud Run, IAM, VPC network isolation, CI/CD pipelines, secrets management, observability, and security controls   Translate business requirements into technically precise specifications — and proactively challenge scope or approach when a stronger path exists Lead company-wide AI infrastructure rollout and upskilling initiatives, including training programs, office hours, super-user community development, and AI governance scaffolding Develop PRDs, architecture documents, and project scopes that enable contractors and engineering partners to execute independently Forecast build timelines and resource requirements across a portfolio of concurrent initiatives Direct and quality-review the output of external engineering contractors Identify  and advance system-level improvements proactively — with a recommendation and a plan, not merely an observation Build documentation and operational foundations designed to scale beyond any individual project   What We're Looking For:  Required   8+ years of experience spanning software engineering, cloud infrastructure, and technical program or product management   Active, daily use of LLM-based AI tools (Claude, Gemini, or equivalent) as a core part of your professional workflow — not familiarity, fluency   Demonstrated ability to architect and own GCP infrastructure end-to-end, without external direction   Proven capacity to move from an ambiguous problem statement to a structured technical plan independently   Strong ability to engage cross-functional business stakeholders,  identify  the root of what they  actually need , and translate that into technically sound specifications   Experience writing PRDs, architecture documents, and detailed project scopes   Bachelor's degree  required ;  Master's  degree strongly preferred   Preferred   Familiarity with mobile development constraints and cross-platform frameworks Experience with Salesforce integrations or CRM-adjacent technical work Experience directing or managing external engineering contractors or vendors Background in MedTech, health IT, or a regulated industry   What Sets the Best Candidates Apart   You leave every system, document, and process better than you found it — consistently, without being asked You bring fully-formed  ideas and recommendations, not status updates awaiting direction You think in systems and design for scale, not just for the immediate ask You are genuinely invested in arriving at the best answer, and will push back — respectfully and constructively — when you believe a better one exists You are energized by fast-moving, resource-constrained environments where ownership is total  and the problems are genuinely novel   Compensation Range $177,000 — $226,000 USD 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 13 Paid Holidays + 3 Company Wellness Days Excellent parental leave policy Fantastic culture with tremendous career advancement opportunities Joining a mission-minded organization! Application Deadline: Ongoing Other Job Details Ceribell reports transfers of value to health care providers (HCPs) as