Senior Director of Engineering, Machine Learning Developer Experience

Minimum qualifications

• 15 years of experience in an engineering leadership role.

• Experience identifying emerging trends in AI developer tools, and translating them into strategies.

• Experience leading and managing engineering teams with project delivery.

Preferred qualifications

• PhD or Master's degree in Engineering.

• Experience in applying AI solutions and ML-related technologies to solve real-world AI/ML problems in consumer or enterprise applications.

• Solid software engineering background and fluency in cloud-based development. Experience with Python, TensorFlow, PyTorch, or similar ML frameworks.

• Solid understanding of generative AI concepts (e.g., LLMs, diffusion models, etc.), development workflows, and use cases.

As the Senior Director of Engineering for Machine Learning Developer Experience, you'll drive the team mission to deliver the best possible experience for generative AI developers. You will lead the strategy and the execution of a fast growing generative AI solution developer toolset across surfaces at Google.

In this role you will articulate the customer journey and their workflows for our generative AI workloads, their pain points and how AI/ML Platform can address their constraints. Create a compelling user experience, infrastructure, design and interoperability across a suite of products and services.

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 $323,000-$465,000 + 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 (~~~/) .

• Define roadmap for Google Cloud's generative AI development tools and interfaces. Balance innovation, user research, and industry trends to push the boundaries of Machine Learning Developer Experience.

• Build, mentor, and inspire a team of engineers focused on crafting SDKs, IDE plugins, CLIs, visualization tools, and MLOps optimized for generative AI model lifecycle and generative AI based application development workflows.

• Partner closely with the broader Vertex AI teams, Google developer API team and Dev Hub teams, Cloud AppEco teams, CoreML and Google deepmind teams, and external developer communities to align tool development with real-world use cases and pain points.

• Advocate for developers, understanding their needs and ensuring that the Vertex AI Developer Experience Team delivers solutions that delight and empower users.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ~~~/ and ~~~ If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ~~~.