Global Data and AI Strategic Partner Development Manager
Listed on 2026-06-24
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IT/Tech
Technical Sales, AI Engineer (Applied/Software), Sales Engineer
Global Data and AI Strategic Partner Development Manager
Locations:
Sunnyvale, CA, USA;
Atlanta, GA, USA;
Austin, TX, USA;
Cambridge, MA, USA;
Irvine, CA, USA;
Kirkland, WA, USA;
New York, NY, USA;
Los Angeles, CA, USA;
Raleigh, NC, USA;
Durham, NC, USA.
As a Global Data and AI Strategic Partner Development Manager, you will facilitate C‑level relationships with partners, showcase Google’s technology solutions, guide partners in developing their service offerings and work closely with Google Cloud solution sales and engineering teams. You will be the primary technical partner liaison, driving the co‑creation and adoption of AI solutions on Google Cloud. You will be responsible for elevating partners’ technical capabilities, ensuring architectural excellence, and accelerating customer value through technical enablement and strategic go‑to‑market (GTM) execution tailored around the Google Gemini Enterprise.
In this role you will work closely with a Global System Integration (GSI) partner to develop pipeline, land joint wins, and accelerate customer and partner value, including accelerating consumption for joint solution offerings. You will lead the GTM strategic priority plays initiative by defining sales plays and acting as a trusted advisor to the partner throughout identifying opportunities, developing capabilities, solutions, and service offerings, pursuing GTM sales plays, landing wins, and delivering customer success.
You will drive campaign execution in orchestration with partners’ technical, sales, and marketing teams.
You will leverage your experience in solution building, partner management, strategy, and sales, demonstrating your aptitude and passion for working with partners to transform large organizations with Google Cloud technologies.
Individual pay is determined by factors including job‑related skills, experience, and education. US: $224,000 - $312,000 (USD) + 25% bonus target + equity + benefits.
Benefits include Health, dental, vision, life, disability insurance;
Retirement (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;
Sick Time: 40 hours per year (increased to 69 hours per year for Seattle) including five 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 in a technical field or equivalent practical experience.
- 15 years of experience in business development/customer or partner‑facing roles relating to public cloud services.
- Experience in designing AI and Analytics solutions.
- Experience working with global system integrators to build GTM offerings in Analytics, AI/ML, and Generative AI, and tracking program outcomes.
- Experience taking new products and solutions to the market, developing and driving go‑to‑market (GTM) offerings with partners.
- Experience developing GTM offerings (Analytics, AI/ML, Generative AI) based on industry and regional requirements.
- Experience winning/delivering large cloud agreements.
- Experience conducting partner executive briefings with an understanding of industry offerings and excellent communication skills.
- Experience launching and landing GTM offerings (Analytics, AI/ML, Generative AI) with partners and tracking new business.
- Familiarity with the Google Gemini platform, Vertex AI, and enterprise GenAI application development.
- Help partners grow their business on Google Cloud by driving Data and AI solutions as their trusted advisor for pre‑sales and post‑sales customer engagements, anchored on the Google Gemini Enterprise.
- Bridge the gap between business strategy and technical implementation, engaging in C‑level discussions on AI strategy while also leading technical workshops (up to L200).
- Review and validate partner‑developed solution architectures to ensure technical excellence, scalability, security, cost‑effectiveness, and adherence to Google Cloud best practices, providing direct technical guidance to partners on performance and consumption.
- Lead…
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