Sr. Technical Product Manager, AI Platform - Hybrid (Charlotte)

Elios AI; Charlotte (NC); Hybrid; USD 130,000 - 160,000; Full time

Job summary

Elios AI is looking for a Sr. Technical Product Manager for their AI Platform in a hybrid role based in Charlotte, NC. This position entails managing the roadmap and ensuring production-ready platform capabilities for AI frameworks.

The ideal candidate will have at least 8 years of experience in technical product management with a focus on platform and AI/ML environments. You will be instrumental in defining platform strategy, ensuring alignment across teams, and developing reusable services.

Qualifications

• 8+ years in technical product management, at least 3 years in platform or AI/ML environments.
• Strong understanding of LLM-based and agentic systems.
• Experience in cross-functional delivery across engineering and product teams.

Responsibilities

• Define and evolve the multi-horizon roadmap for the AI platform.
• Translate platform strategy into prioritized capability requirements.
• Lead execution of roadmap priorities ensuring production-ready capabilities.

Skills

Technical Product Management

AI Platform

LLMs

Agentic Systems

Platform Product Management

AI Governance

AWS Orchestration

Observability

MLOps

Cloud-Native Architecture

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