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

Elios, Inc.; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Elios, Inc. is seeking a Senior Technical Product Manager for the AI Platform, based in Charlotte with hybrid work. You will own the platform roadmap, focusing on primitives, runtime, orchestration, and governance that product teams leverage to build AI capabilities.

You will partner with application teams and AI product managers to convert workflow needs into reusable platform services, ensuring measurable success for non-deterministic AI systems and scalable deployments.

Qualifications

• 8+ years in technical product management or equivalent.
• Experience with platform, infrastructure, or AI/ML environments is required.
• Strong understanding of LLM-based and agentic systems including runtime design and orchestration.
• Ability to define 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.
• Excellent communication skills to translate complex technical systems into product narratives for executives.

Responsibilities

• 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-invocation patterns for 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 for scalable capabilities.

Skills

Technical Product Management

AI Platform

LLMs

Agentic Systems

Observability

MLOps

Cloud-Native Architecture

AI Governance

Orchestration

Tools

AWS

Job description

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

Location Charlotte, NC

Workplace Type Hybrid

Position Type Permanent

Sector Technology

Years of Experience 8+ years

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-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