info_outline
X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
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 share your preferred working location from the following:
Sunnyvale, CA, USA; Austin, TX, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 15 years of experience in Partner Management, Business Development, Sales, or Channel Development in the technology industry.
- Experience participating in or coordinating AI/ML technical transformations, utilizing an Forward Deployed Engineer (FDE) or embedded delivery model.
Preferred qualifications: - Experience launching partner products and solutions, including complex channel go-to-market motions such as multi-partner solutions, procurement through cloud marketplaces, and consumption-based solutions; experience planning and managing at strategic and operational levels.
- Experience managing and growing technology partnership relationships with cross-functional teams internally and externally.
- Experience interfacing with, and being a trusted partner for, C-level executives in partner companies.
- Proficiency with Google Cloud AI offerings (Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents, and open-source developer tool harnesses.
About the jobAs the Strategic Partner Development Manager, AI Pureplay, you will drive the recruitment strategy of new partners into the portfolio and accelerate their adoption of Google Cloud services. You will work across Google Cloud's Product Management, Engineering, Marketing, and customer-facing organizations to foster strong executive alignment with these partners, develop a co-innovation plan for new solutions and orchestrate the co-sell motion between Google Cloud and the partners' sales organizations.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $224000 - $312000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Coordinate day-to-day operations of capacity planning models to match scarce, high-value partner Forward Deployed Engineer (FDE) resources with high-stakes customer accounts, track engagement pipelines, manage staffing models, and monitor delivery milestones to safeguard co-sell and delivery excellence.
- Support partner teams as they embed directly within enterprise accounts, helping them navigate complex customer environments and successfully bridge multi-agent orchestration with legacy corporate databases and hybrid architectures.
- Drive the ground-level execution of commercial structures that accelerate time-to-value and Return on Investment (ROI) for the customer, scale business for the partner, and maximize platform consumption for Google Cloud.
- Act as a critical touchpoint between partner engineers, Google Cloud Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal Cloud AI Product and Engineering teams.
