Leadership Technical Program Manager II, Machine Learning, Google Cloud

Leadership Technical Program Manager II, Machine Learning, Google Cloud

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

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 $227,000-$320,000 + 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 share 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 benefits at Google.

Minimum Qualifications:

• Bachelor's degree in a relevant field, or equivalent practical experience.
• 10 years of machine learning work experience.
• 7 years of experience in leadership role(s) with/without direct reports.
• 5 years of experience managing projects.

Preferred Qualifications:

• 10 years of experience managing cross-functional/team projects.
• 7 years of supervisory experience.

Responsibilities

• Be a highly credible thought leader within Google and industry on the subject matter domain of the respective organization.
• Establish a reliable and visible cadence for portfolio reviews, decision making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide. e.g., effective (re)deployment of machine and people resources leading to efficiency and utilization gains (mapping to the concept of Resource Stewardship).
• Drive measurable program performance gains correlated to execution velocity. Establish governance over prioritization decisions to ensure alignment with key performance indicators.
• Be a change advocate responsible for initiating and leading multiple organizations through pivots needed to address shifts in business trends and priorities.
• Lead strategic planning framework for a complex program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders.