Product Strategy and Operations Lead, AI and Infrastructure
$150k - $218kFull-time
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
- 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.
- 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.
- 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
Vacancy posted 1 day ago
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