US
0 suggestions are available, use up and down arrow to navigate them
PROCESSING APPLICATION
Hold tight! We’re comparing your resume to the job requirements…
ARE YOU SURE YOU WANT TO APPLY TO THIS JOB?
Based on your Resume, it doesn't look like you meet the requirements from the employer. You can still apply if you think you’re a fit.
Job Requirements of Sr. Principal Technical Product Manager, AI:
-
Employment Type:
Contractor
-
Location:
Alpharetta, GA (Onsite)
Do you meet the requirements for this job?

Sr. Principal Technical Product Manager, AI
Agile
Alpharetta, GA (Onsite)
Contractor
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.
- 1â2+ 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.
Get job alerts by email.
Sign up now!
Join Our Talent Network!