AI Activation Lead, Google Cloud

Google; Chicago (IL); On-site; USD 111,000 - 159,000; Full time

Job summary

Google Cloud Consulting Professional Services is seeking an AI Activation Lead to own the delivery and business success of AI engagements with Google Cloud customers. You will partner with engineers, solution architects, and stakeholders to manage end-to-end delivery, executive communication, and rollout planning to translate AI concepts into measurable business value.

You will guide priorities, manage sprint planning and risk, and ensure customer sponsors remain aligned on outcomes, while

Qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience leading programs and cross-functional teams.
• 3 years delivering presentations at the executive level.
• Experience with artificial intelligence or machine learning projects, tools, or infrastructure.
• Experience in business development, sales, or account management promoting customer adoption of AI solutions.

Responsibilities

• Lead end-to-end delivery of AI engagements with strategic customers. Establish program structures, milestones, sprint plans, risk tracking, and delivery cadences across distributed teams.
• Serve as the primary point of contact for customer delivery, owning executive communication and escalations. Lead steering committees to align sponsors on progress, risks, and priorities.
• Partner with engineers, architects, product teams, and sales to align priorities and clear blockers, enabling engineering teams to focus on building.
• Advise on change management, operational enablement, and rollout planning to drive adoption and bring AI solutions from concept to production.
• Leverage AI to streamline briefings, analysis, and reporting, helping build repeatable workflows, methods, and agent skills across engagements.

Skills

Program leadership

Executive communications

AI/ML experience

Business development / sales

Education

Bachelor's degree

Technical degree or equivalent practical experience

Job description

AI Activation Lead, Google Cloud

Locations: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.

The application window will be open until at least October 26, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience leading programs and working with cross-function teams.
• 3 years of experience delivering presentations at the executive level.
• Experience with artificial intelligence or machine learning projects, tools, or infrastructure.
• Experience in business development, sales, or account management promoting customer adoption of solutions and business growth in AI or related technology fields.

Preferred qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• Background in AI/ML.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As an AI Activation Lead, you’ll own the delivery and business success of AI engagements with Google Cloud’s customers. Partnering closely with engineers, solution architects, and other internal and external stakeholders, you will be responsible for engagement health from end to end, including milestones, sprint planning, risk tracking, executive cadences, and the commercial guardrails behind them. You’ll keep customer sponsors aligned on business outcomes and lead the change management and rollout planning that take AI from idea to production. You’ll also ensure every engagement delivers measurable business value.

In this role, you’ll bring a product mindset, strong executive presence, and a relentless focus on execution. You’ll guide sprint priorities and user acceptance testing. You’ll also turn technical progress into a compelling business story for customer and Google leadership, backed by clearly quantified outcomes. You’ll know how to navigate complex organizations and build advocates. You’ll spot risks early and clear the blockers that slow your team down, so engineers can stay focused on building. You’ll also use AI to speed up briefings, analysis, and reporting, and help build the workflows and agent skills that make our delivery model repeatable.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $111000 - $159000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead end-to-end delivery of AI engagements with strategic customers. Establish program structures, milestones, sprint plans, risk tracking, and delivery cadences across distributed teams.
• Serve as the primary point of contact for customer delivery, owning executive communication and escalations. Lead steering committees to align sponsors on progress, risks, and priorities.
• Partner with engineers, architects, product teams, and sales to align priorities and clear blockers, enabling engineering teams to focus on building.
• Advise on change management, operational enablement, and rollout planning to drive adoption and bring AI solutions from concept to production.
• Leverage AI to streamline briefings, analysis, and reporting, helping build repeatable workflows, methods, and agent skills across engagements.