Director, Technical Program Management, Cloud AI

Director, Technical Program Management, Cloud AI corporate_fare Google place Kirkland, WA, USA bar_chart Director+ info_outline X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

Health, dental, vision, life, disability insurance

Retirement Benefits:

401(k) with company match

Paid Time Off:

20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

Sick Time:

40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

Baby Bonding Leave:

18 weeks

Holidays:

13 paid days per year Minimum qualifications: Bachelor's degree in Electrical or Computer Engineering, a related field or equivalent practical experience. 15 years of experience managing technical projects in the cloud or silicon development industries. 10 years of experience leading teams within technical program management or engineering management or equivalent roles. Experience with the domain area of Generative AI, Large Language Models, Agents and AI Workflow tools.

Preferred qualifications:

Experience with enterprise programs and cloud technologies. Strong analytical, problem-solving, negotiation and organizational skills. Deep technical expertise in systems and software with the leadership skills needed to influence technical leaders across the company. About the job Within the Cloud AI organization, we focus on building highly differentiated, highly scalable, and easy-to-use AI enabled products and services that enable our customers to transform their business with AI. Products such as Vertex AI and Vertex AI Search comprise a portfolio that spans the needs of data scientists, developers, and overall infrastructure. We not only provide customers with state-of-the-art foundation models, such as Gemini, but also full AI model building/serving toolsets and management workflows to enable customers to turn ideas into high-quality production AI solutions across verticals on Google's industry leading infrastructure. 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. The US base salary range for this full-time position is $282,000-$392,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities Manage development and delivery of Cloud AI programs and solutions. Provide both technical and organizational leadership. Be responsible for leading planning, execution, and delivery of internal and external programs and initiatives. Partner with senior leadership, engineering and product managers to ensure alignment with engineering and product priorities. Forecast program management resourcing requirements, while driving sublinear scaling at a rapid pace. Lead and inspire an organization of technical program managers drawn from several parts of the business, with a goal of driving predictable outcomes for our customers and business. Build a healthy, scalable and growth-oriented technical program management organization across multiple locations. Lead groups to streamline processes, simplify execution, manage OKRs, release on time, bring tooling efficiencies and help teams in execution.