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Sr. Technical Program Manager, AI Security

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Moderna Therapeutics
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cybersecurity
Salary/Wage Range or Industry Benchmark: 145900 - 234200 USD Yearly USD 145900.00 234200.00 YEAR
Job Description & How to Apply Below
The Role:

Moderna is seeking a Senior Technical Program Manager (TPM) to drive project and program management of AI-readiness initiatives at Moderna globally. We’re looking for someone with a high level of integrity and personal accountability, strong interpersonal skills, and infrastructure technology domain expertise.

Here’s What You’ll DoProgram Management – take a structured, data-driven, and risk-based approach to program scoping, execution, and reporting

Kick off and successfully manage multiple, simultaneous, complex, high visibility work streams with full ownership, effective collaboration, and good process

Build processes, templates, and structure, or leverage existing ones as appropriate

Manage vendors, schedule, scope, and cost Measure program success (or lack thereof) and risks using data and facts

Provide balanced risk remediation strategies and recommendations and drive risk mitigation

Develop and maintain close stakeholder relationships and build influence to drive the appropriate outcomes across Moderna Provide clear, accurate, consistent, and timely communications

Advance good infrastructure and security practices and culture

Partner Collaboration - work with Cybersecurity, Builder Tools & Platforms, Infrastructure, Identity & Endpoint Engineering, GRC, AI Engineering, Data, Enablement/L&D, software engineering, and business stakeholders to manage and drive improvement projects in a structured and predictable manner

Manage multiple initiatives to oversee the architecture and lifecycle of enterprise AI systems, including agent identity, tool authorization, and secure development practices; to drive governance frameworks that define permitted AI use, contextual standards, and regulatory alignment — including GxP where applicable; and to ensure end-to-end observability and monitoring of AI agents in production.

Own the operating model for AI enablement programs, including pilots, cohorts, and phased rollouts, and partner with Enablement/L&D teams to shape role‑based learning paths for AI builders

Actively contribute to creating a more inclusive culture and environment at Moderna; endorse, create, and maintain antiracist policies and processes

Here’s What You’ll Need (Minimum Qualifications)

Experience:

8+ years in Technical Program Management, Engineering Program Management, or similar roles in AI/ML-heavy environments

Technical Depth:
Strong understanding of AI/ML systems, including model training pipelines, LLMs, MLOps, data pipelines, and cloud infrastructure

Strong understanding of AI/ML development workflows, AI‑assisted engineering tools, or modern software development platforms

Demonstrated technical depth, problem-solving capabilities, and stakeholder and vendor management skills

Experience in running programs within a cross-functional, global team of mixed engineering, architecture, and operations

Ability to successfully scope and drive complex and multi-workstream programs in a structured, risk-considerate, data-driven fashion

Experience improving developer productivity and building internal tools/platforms.

Ability to define metrics, analyze tradeoffs, and drive decisions with data.

Strong listener with the ability to deeply understand, ask the right questions, and proactively pursue constructive feedback

Proven ability to operate in highly matrixed environments and influence without direct authority.

Excellent written and verbal communication skills, including executive‑level storytelling

Here’s

What You’ll Bring to the Table (Preferred Qualifications)
Background in software engineering, data science, or machine learning

Experience with LLM platforms, prompt engineering workflows, or AI copilots

Experience with AI development platforms, copilots, developer tooling, or MLOps concepts

Experience with responsible AI, model governance, or compliance frameworks

Experience driving structured, process-driven AI transformation initiatives.

Familiarity with tools such as Kubernetes, Airflow, MLFlow, or similar MLOps stacks

Familiarity with governed enablement models (e.g., citizen development, platform standards, golden paths)
Knowledge of security and compliance standards relevant to AI and AI-assisted…
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