Senior Technical Program Manager, Machine Learning

Senior Technical Program Manager, Machine Learning at Google

At Google, a problem isn’t truly solved until it’s solved for all. We build products that create opportunities globally. As a Senior Technical Program Manager, Machine Learning, you will leverage your technical expertise to lead complex, multi-disciplinary projects from inception to completion. This involves collaborating with stakeholders to define requirements, identify risks, manage project schedules, and clearly communicate with cross-functional partners across the company. You will be adept at explaining team analyses and recommendations to executives while also engaging in technical trade-offs with engineers during product development.

The ML, Systems, & Cloud AI (MSCA) organization at Google is responsible for designing, implementing, and managing the hardware, software, machine learning, and systems infrastructure that powers all Google services (e.g., Search, YouTube) and Google Cloud. Our users include Googlers, Cloud customers, and billions of people worldwide. We prioritize security, efficiency, and reliability in all our endeavors, from developing advanced TPUs to managing a global network, all while shaping the future of hyperscale computing. Our global impact spans both software and hardware, notably through Google Cloud’s Vertex AI, a leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

• Implement and maintain communication standards across a portfolio of programs, including executive and key partner communications.
• Establish a reliable and visible cadence for program reviews, decision-making, prioritization, and effective Resource Stewardship (deployment of machine and people resources).
• Ensure measurable improvements in efficiency and utilization gains that generate organization-wide impact.
• Lead a governance structure that facilitates effective executive decision-making.
• Ensure the governance structure effectively exposes and mitigates dependencies across projects.
• Actively identify and seek out change management opportunities to increase program velocity across multiple teams.
• Define and manage a program portfolio focused on solving high business impact problems for the organization and product area.

Minimum Qualifications

• Bachelor's degree in a relevant field, or equivalent practical experience.
• 8 years of experience in program management.
• 8 years of machine learning work experience.

Preferred Qualifications

• 8 years of experience managing cross-functional or cross-team projects.

Benefits

In accordance with Washington state law, Google offers a comprehensive benefits package 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 (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Compensation

The US base salary range for this full-time position is $183,000-$271,000, complemented by bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Individual pay is influenced by work location and additional factors such as job-related skills, experience, and relevant education or training. Your recruiter can provide specific salary range details for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect base salary only, excluding bonus, equity, or benefits.

Location

By applying to this position, you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; New York, NY, USA; Sunnyvale, CA, USA.

Key skills/competency

• Program Management
• Machine Learning
• Cross-functional Leadership
• Stakeholder Management
• Risk Mitigation
• Project Scheduling
• Executive Communication
• Resource Management
• Governance Structure
• Change Management