Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with Machine Learning model development and deployment.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
- Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
Preferred qualifications:
- Experience with virtualization or containerization platforms, migrating applications and services to cloud platforms and with networking and security concepts.
- Experience working with partners and customers as sales engineering or delivery roles providing solutions.
- Experience with Google Cloud Data, Artificial Intelligence and Machine Learning Services.
- Experience in building strategic business partnerships.
- Excellent communication skills and ability to conduct partner CTO and technical discussions , engagements and managing multiple stakeholders.
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
As a Partner Engineer, you will play a crucial role in growing and supporting the Google Cloud partner ecosystem. Your expertise in business development, technical sales and services, coupled with your experience in modern public cloud platforms, with an emphasis on Data and Artificial Intelligence/Machine Learning (AI/ML) capabilities using Google Cloud AI products and services (e.g., Vertex AI, Google Agent space, Customer Engagement Suite and Applied AI applications).
You will lead the activation and enablement of partners across various technologies and solutions. You will contribute to the adoption of Google Cloud by empowering partners to develop creative cloud solutions and demonstrate how Google Cloud services drive innovation, accelerate time to market, differentiate against competitors, and create new business growth streams for customers. Your support will be vital during the proof-of-concept, migration, and deployment phases for partners.
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.
Responsibilities
- Build and enable partners technical capability and capacity through co-developing solutions, prototyping and demonstrating product integrations and guiding them to help customers through assessments of their existing legacy application environments.
- Empower partners to drive a pilot, PoC or production workload.
- Build focused technical assets. Collaborate with partners to develop GCP specific solution documentation, joint technical articles, webinars, whitepapers, demos with ISV product and also recommend/review integration strategies, enterprise architectures, platforms and application infrastructure required to implement a complete solution on Google Cloud.
- Scale customers wins through partners by promoting the partner with account teams and developing deep partner relationships.