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.
- MBA or Master's degree in a management, technical or engineering field, or equivalent practical experience.
- Experience driving complex strategic and operational initiatives across various functional domains and geographies.
- Experience in using metrics and analytics to business problems and generate actionable insights.
- Ability to deliver effective presentations and build partnerships with executive leaders and their teams across Google.
- Ability to structure analysis and drive/execute data modeling and reporting initiatives.
- 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 sound long-term product strategy decisions to meet the needs of AI2.
- Develop strategic analysis, working with leadership and product management teams (e.g., market sizing, buy, build, or partner assessment, strategy/game theory, portfolio rationalization).
- Develop commercial models, pricing/packaging strategies, business cases, and financial models/projections.
- Provide insightful data-driven strategic recommendations to leadership, based on strategic insights, analysis, experience, technical acumen, and good judgment.
Vacancy posted 15 days ago
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