About this opportunity
Elios AI lists this Sr. Technical Product Manager, AI Platform - Hybrid (Charlotte) opportunity in charlotte, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Sr. Technical Product Manager, AI Platform - Hybrid (Charlotte)
New
Location: Charlotte, NC
Workplace Type: Hybrid
Position Type: Permanent
Sector: Technology
Skills
Technical Product Management
AI Platform
LLMs
Agentic Systems
Platform Product Management
AI Governance
AWS Orchestration
Observability
MLOps
Cloud-Native Architecture
Job Description
Senior Technical Product Manager, AI Platform
Location: Hybrid, based in Charlotte, NC | Type: Full Time, Exempt | Experience: 8+ years
About the Role
You'll own the roadmap for an enterprise AI platform, including the primitives, runtime, orchestration, and governance that product teams build on top of. This is platform product management, so your customers are the application teams and AI product managers who depend on what you ship.
Our client is building a shared AI platform that powers agent-driven capabilities across its product portfolio. This role sits at the center of that effort, deciding what should become a reusable platform service and what belongs in the application layer.
What You'll Do
Define and evolve the multi-horizon roadmap for the AI platform, spanning primitives, runtime infrastructure, orchestration, governance, and release controls
Turn platform strategy into prioritized capability requirements and delivery milestones tied to adoption and scale
Lead execution so roadmap priorities ship as reliable, production-ready platform capabilities, not one-off features
Partner with application teams and AI product managers to translate workflow needs into reusable platform services
Define requirements for AI runtime behavior, including execution reliability, scaling, tenant isolation, context assembly, and policy‑aware interactions
Set orchestration primitives, intent interpretation frameworks, and safe tool‑in‑invocation patterns that application teams can use to build agent‑assisted experiences
Establish observability, evaluation, and governance standards, including execution tracing, telemetry, auditability, and evaluation‑gated releases
Drive alignment across engineering, security, compliance, data, and product so capabilities scale safely across the portfolio
Qualifications
8+ years in technical product management, with at least 3 years in platform, infrastructure, or AI/ML environments
Track record delivering platform products used by multiple product teams or services
Strong understanding of LLM‑based and agentic systems, including runtime design, context assembly, orchestration patterns, and tool‑using architectures
Comfort defining measurable success criteria for non‑deterministic AI systems
Familiarity with AI governance and risk management principles in enterprise environments
Experience coordinating cross‑functional delivery across engineering, product, security, and compliance teams
A clear communicator who can turn complex technical systems into product and executive narratives
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Worksite address
charlotte, NC, 28245, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.