Product Strategy and Operations Lead, AI and Infrastructure

Product Strategy and Operations Lead, AI and Infrastructure corporate_fare Google place Kirkland, WA, USA ; Seattle, WA, USA ; +2 more ; +1 more bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. 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

Note:

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

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 8 years of experience in management consulting, product management and strategy, or analytics in a technology company. 7 years of experience in Management Consulting, Product Management, Corporate Development, High-Tech, Engineering, Operations, or Finance/Investment Banking/Venture Capital. Experience working with and analyzing data, and managing multiple projects. Experience managing operational initiatives across various functional domains and geographies.

Preferred qualifications:

MBA or Master's degree in a management, technical or engineering field, or equivalent practical experience Experience with Infrastructure, Cloud, Enterprise/B2B businesses. Ability to deliver effective presentations and build partnerships with executive leaders and their teams across Google. Ability to provide insightful data-driven strategic recommendations to leadership, based on strategic insights, analysis, experience, technical acumen, and good judgment. Excellent strategic thinking, problem-solving, analysis, and written/verbal communication skills, with effective business acumen and attention-to-detail. About the job The US base salary range for this full-time position is $150,000-$218,000 + 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 Drive business and product strategy for the various domains within Machine Learning, and AI Cloud systems working with product and engineering leadership. Enable the product and engineering leadership to make long-term product strategy decisions to meet various needs of Google Cloud Platform (GCP). Build commercial models, pricing and packaging strategies, business cases, and financial models/projections. Deliver data-driven strategic recommendations to leadership, based on strategic insights, analysis, experience, technical acumen, and good judgment. Lead cadence for managing the business, define and track key product, business metrics, or KPIs, lead monthly and quarterly business reviews that enable timely feedback and decisions, drive annual planning (ZBB, Headcount, OpEx) for spend across prioritized initiatives