Senior Technical Program Manager, GTM AI Tech, Google Cloud

Socket.dev; Sunnyvale (CA); On-site; USD 240,000 - 333,000; Full time

Job summary

Google is seeking a Technical Program Manager to lead strategic programs in the Forward Deployed Engineering organization within Google Cloud. You will coordinate cross-functional teams across engineering, product management, and sales to translate executive priorities into structured, measurable execution.

The role demands navigating high ambiguity with executive credibility. You will partner with stakeholders across engineering, product, field sales, and customer leadership, bridging customer

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of experience in program management or customer-facing technical roles.
• Experience in Generative AI.
• Ability to travel up to 25% of the time.

Responsibilities

• Manage programs with deep technical and product understanding, applying rigorous program management to complex AI contexts. Leverage technical knowledge to identify efficiencies and provide thought leadership.
• Provide clear project status updates to audiences, including cross-functional partners and leadership. Partner with engineering and product management to define workstreams, resource plans, and project milestones.
• Surface deteriorating accounts early with a diagnosis and a proposed path to green, before they require intervention from Cloud leadership. Build the cadence so it scales as the high-touch account portfolio grows, incubating process improvements that reduce reactive escalation over time.
• Establish and enforce cross-functional standards for how customer-blocking issues are filed, triaged, deduplicated, and tracked to closure across engineering and field teams.
• Shape briefing materials for executive customer meetings and drive follow-through on the commitments made in them.

Skills

Program management

Generative AI

Stakeholder management

Travel readiness

Education

Bachelor's degree in a technical field

Equivalent practical experience

Tools

Google Cloud

Job description

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10 years of experience in program management or customer-facing technical roles.
• Experience in Generative AI.
• Ability to travel up to 25% of the time.

Preferred qualifications:

• Experience transforming ambiguous goals into impactful and measurable programs, leveraging program management skills.
• Google Cloud technical experience, with a deep understanding of Google Cloud product/solution stacks.
• Track record of managing complex global operations and driving cross-functional alignment, with a bias toward direct resolution over process.
• Deep understanding of the AI/ML landscape, agentic frameworks, and the common failure modes of enterprise AI deployments.
• Ability to hold peers and executive stakeholders accountable to commitments in a matrixed environment.
• Ability to synthesize customer technical feedback into actionable product requirements to constructively advise and counsel executive leadership and Product teams.

About the job:

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

In this role, you'll lead strategic technical programs for the Forward Deployed Engineering organization, owning the operating cadence that turns executive priorities into structured, measurable execution. The portfolio is deliberately broad and will evolve with business driving proactive management of our highest-risk enterprise engagements, standing up early access and product feedback programs for new models and capabilities, scaling delivery best practices across regions, and incubating whatever the organization needs next. What these programs share is a common shape high ambiguity, high visibility, several organizations that must move together, and no single team with the authority to alignment.

This is an opportunity to work within a team with high visibility at Google, with daily exposure to the accounts and decisions that matter most to the business. You'll engage with various stakeholders: Engineering, Product, field sales, account teams, and customer technical leadership, bridging the gap between customer expectations and engineering capacity. The position offers significant exposure to the business at an executive level and requires the credibility to hold executive stakeholders to their commitments.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Manage programs with deep technical and product understanding, applying rigorous program management to complex AI contexts. Leverage technical knowledge to identify efficiencies and provide thought leadership.
• Provide clear project status updates to audiences, including cross-functional partners and leadership. Partner with engineering and product management to define workstreams, resource plans, and project milestones.
• Surface deteriorating accounts early with a diagnosis and a proposed path to green, before they require intervention from Cloud leadership. Build the cadence so it scales as the high-touch account portfolio grows, incubating process improvements that reduce reactive escalation over time.
• Establish and enforce cross-functional standards for how customer-blocking issues are filed, triaged, deduplicated, and tracked to closure across engineering and field teams.
• Shape briefing materials for executive customer meetings and drive follow-through on the commitments made in them.