Generative AI TPM for Enterprise Platforms

Google; Kirkland (WA); On-site; USD 200,000 - 270,000; Full time

Job summary

Google is seeking a Technical Program Manager to lead multi-disciplinary efforts delivering Generative AI products for enterprise customers within the Cloud AI team.

You will partner with product managers and engineers to define roadmaps, prioritize features, and guide projects to successful releases, influencing Google's AI strategy across Gemini Enterprise, Agent platforms, and model deployment.

Qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience with AI model training, testing, evaluation, and tuning processes, Large Language Model (LLM) release cycles and timeline management.
• Experience with ML or AI principles and technical strategy.
• Experience working on agentic frameworks and products.

Responsibilities

• Manage programs with technical and product understanding, applying program management to complex AI contexts.
• Leverage technical knowledge to identify efficiencies and provide thought leadership.
• Manage end-to-end life-cycles, from requirement gathering and risk assessment to feature prioritization.
• Partner with engineering and product management to define workstreams, resource plans, and project milestones.
• Manage high-impact customer engagements, advocate new evaluation methodologies, and define KPIs for data quality and success.
• Provide clear project status updates to audiences, including cross-functional partners and leadership. Drive feature planning, building cohesion and alignment across all stakeholders.

Skills

Program management

AI model training

ML/AI principles

Agentic frameworks

Education

Bachelor's degree in a technical field

Job description

Google is seeking a Technical Program Manager to lead multi-disciplinary efforts delivering Generative AI products for enterprise customers within the Cloud AI team.

You will partner with product managers and engineers to define roadmaps, prioritize features, and guide projects to successful releases, influencing Google's AI strategy across Gemini Enterprise, Agent platforms, and model deployment.