Senior Manager, Applied AI Engineering - Remote
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