Technical Product Manager - AI

Agile Resources, Inc.; Alpharetta (GA); Hybrid; USD 93,676 - 100,564; Part time

Job summary

A leading technology consulting firm is seeking a Principal Technical Product Manager in Alpharetta, GA. This hybrid role involves driving strategic AI roadmapping for software portfolios. The ideal candidate should have extensive experience in Technical Product Management, particularly in AI-enabled products. Responsibilities include modernizing product architecture, collaborating with engineering teams, and implementing AI-driven optimizations. Competitive hourly pay is offered.

Qualifications

• 7+ years of experience in Technical Product Management.
• 1–2+ years of experience with AI-enabled or LLM-based products.
• Deep technical fluency in modern AI toolchains.

Responsibilities

• Serve as the internal AI Catalyst to modernize product architecture.
• Lead strategic delivery of product roadmaps with engineering teams.
• Implement AI-driven automation within the SDLC.

Skills

Technical Product Management

AI-enabled products

API structures

Backlog refinement

Agile processes

Tools

Vertex AI

GitHub Copilot

Spec Kit

Job description

Our client is looking for a Principal Technical Product Manager to join their team to drive strategic AI roadmapping for large software portfolios!

Location:

This role follows a hybrid schedule: 3 days onsite and 2 days remote each week. While Alpharetta, GA is the preferred location, we will also consider candidates local to St. Louis, MO; Atlanta (Midtown), GA; or Louisville, KY. Onsite work will be conducted at designated office hubs in these specific cities.

Pay:

$68-$73/hour W2

Here is what you will be doing:

• Serve as the internal AI Catalyst to modernize product architecture and agile processes across the public safety software portfolio.
• Lead the strategic delivery of current product roadmaps by partnering with engineering teams to drive on-time execution of product pods.
• Implement AI-driven automation within the SDLC to optimize backlog refinement, sprint reporting, and developer productivity.
• Partner with Technical Architects to roll out modern specification frameworks and tools like GitHub Copilot and Spec Kit.
• Bridge the gap between high-level AI strategy and technical execution by vetting model feasibility, RAG architectures, and data security.
• Define and evaluate success metrics for AI-powered features to ensure high standards for quality, usability, and adoption.

Here is what our ideal candidate has:

• 7+ years of experience in Technical Product Management, including experience leading complex, multi-team portfolios.
• 1–2+ years of direct experience working with AI-enabled or LLM-based products, agents, and prompt-driven workflows.
• Deep technical fluency in modern AI toolchains, including Vertex AI, Gemini, MCP servers, and API structures.
• Proven track record of modernizing SDLC standards or rolling out new architectural frameworks across global engineering teams.
• Strong ability to translate complex AI concepts into clear, actionable technical specifications and PRDs.
• Previous experience in Public Safety, GovTech, FinTech, or highly regulated industries is a plus.