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Specialist Partner Engineer IV, AI/ML, Google Cloud

🌎

Chicago, IL, USA, Austin, TX, USA, Cambridge, MA, USA, New York, NY, USA, Los Angeles, CA, USA, Seattle, WA, USA, San Francisco, CA, USA

6h ago
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Job Description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud architecture in a partner-facing or support role.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  • Experience designing and building architectures and migrating workloads to cloud environments.
  • Experience with AI/ML technologies (e.g., frameworks for deep learning (PyTorch, Tensorflow, Jax, Ray), AI accelerators (TPUs, GPUs), model architectures (encoders, decoders, transformers), or using machine learning APIs).

Preferred qualifications:

  • Experience building business partnerships with partners and customers in an architecture or solution delivery role.
  • Experience with virtualization or containerization platforms and migrating applications and services to cloud platforms.
  • Experience with networking and security concepts.
  • Experience with Google Cloud AI/ML products and solutions.
  • Experience managing multiple stakeholders, and working cross-functionally, in a collaborative, fast-paced environment.
  • Experience conducting partner CTO/technical engagements.
As a Specialist Partner Engineer specialized in Artificial Intelligence (AI) and Machine Learning (ML), you will work closely with Partner Development Managers and Partner Engineers to grow and support the Google Cloud AI/ML partner ecosystem. Specialist Partner Engineers understand the technical solutions and capabilities of our partners and are in the best position to recommend the right partner to our customers.

In this role, you will lead all AI/ML efforts to enable partners with technical knowledge in AI/ML technologies and solutions. You will contribute to customer adoption of Google Cloud by supporting partners as they illustrate how Google Cloud AI/ML services can help customers innovate, bring their services to market faster, differentiate from participants, and create new business growth streams. You will help partners succeed in the proof-of-concept, data migration, application migration, and deployment phase, ensuring they have full access to Google Cloud’s artifacts, tools, templates, and best practices.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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.

The US base salary range for this full-time position is $181,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 share 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 benefits at Google.
  • Enable partners in prototyping and demonstrating product integrations and guiding customers through assessments of their existing legacy application environments. Support partners developing solutions, ensuring the best use of Google Cloud.
  • Recommend and review integration strategies, enterprise architectures, platforms and application infrastructure required to implement complete solutions on Google Cloud.
  • Work with Partner Managers and Partner Engineers to identify and recruit partners in the market that can deliver innovative and complete solutions to our customers. 
  • Build technical assets, collaborate with partners to develop Google Cloud-specific solution documentation, joint technical articles, webinars, whitepapers, and demos with ISV products and Google Cloud.
  • Scale customer wins through partners by promoting the partner with account teams and developing relationships. 

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