Senior Manager, Applied AI Engineering
New
C
Ceribell, IncMedTech
RemoteFull-TimeManager
Salary$177,000 — $226,000 USD
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Job Details
- Experience
- 8+ years of experience spanning software engineering, cloud infrastructure, and technical program or product management
- Required Skills
- GCPProduct ManagementCI/CDSoftware EngineeringLLM
Requirements
- 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
- Demonstrated ability to architect and own GCP infrastructure end-to-end
- Proven capacity to move from an ambiguous problem statement to a structured technical plan independently
- Strong ability to engage cross-functional business stakeholders and translate their needs into technically sound specifications
- Experience writing PRDs, architecture documents, and detailed project scopes
- Bachelor's degree required (Master's degree strongly preferred)
- Familiarity with mobile development constraints and cross-platform frameworks (preferred)
- Experience with Salesforce integrations or CRM-adjacent technical work (preferred)
- Experience directing or managing external engineering contractors or vendors (preferred)
- Background in MedTech, health IT, or a regulated industry (preferred)
Responsibilities
- 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 including 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 when a stronger path exists
- Lead company-wide AI infrastructure rollout and upskilling initiatives, including training programs, office hours, and AI governance scaffolding
- Develop PRDs, architecture documents, and project scopes to 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
- Build documentation and operational foundations designed to scale
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