Google Looking For Director, Technical Program Management, Core ML Fleet Capacity at Sunnyvale, CA Full Time

Applications will be accepted through February 10, 2022.

Minimum qualifications:
Bachelor’s degree or equivalent practical experience

10 years of experience in product or technical program/operations management

10 years of experience managing technical projects in software and/or hardware engineering

5 years of experience leading and growing teams within technical program management or equivalent roles

Preferred qualifications:
Experience working with Machine Learning in a production environment and/or familiarity with large-scale data center operations

Ability to effectively influence and communicate cross-functionally with all levels of management

Ability to thrive in a fast-paced, constantly evolving team environment

Ability to make decisions and understand the risks, trade offs, and rewards that accompany those decisions

About the job

Core ML is focused on driving Machine Learning (ML) excellence across Google and thereby bringing the best experience to users across the world. We bring together the company’s overall ML efforts, creating a more formal path for ML experimentation, development, and product realization. By aligning infrastructure initiatives with different areas of research and product innovation, we are able to best meet the challenges and opportunities of ML technology.

In this role, you will be primarily responsible for leading the analytical and capacity functions within the Core ML and Core Resource Engineering organizations. You will use a transformational approach to scaling an organization and delivering impact to our clients. You will be bring teams together across Google to achieve this goal. You will work across efforts to efficiently manage Google’s investment in ML infrastructure.

You will lead through strategy to achieve our desired results. There will be a rich operations aspect to your work, which will require engagement and oversight, as a result, you will partner with Engineering, Product, and other cross-functional teams to deliver cost-effective and scalable capacity to support their development and product roadmaps. You will help leverage systems and transform what can be done with Machine Learning.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

Demonstrate thought leadership for the ML resource ecosystem to enable Google’s product and business goals.

Provide oversight of planning and delivery across the full ML fleet portfolio. Oversee data science analytics to influence business decisions/outcomes.

Drive technical projects from requirements through launch, including managing complex project schedules and ensuring processes/operational cadence run smoothly.

Partner with Engineering, Product Management, and Operations teams to define, prioritize, and deploy features, infrastructure, processes, and workflows.

Manage and build upon the current team dedicated to the technical program management of the ML fleet.

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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.