Senior Technical Program Manager I, AI Programs, Core Systems

Socket.dev; San Jose (CA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a Technical Program Manager to lead strategic, multi-disciplinary programs in AI/ML and data infrastructure within the Context and Understanding organization. You will plan requirements, assess risks, manage schedules, and communicate with executives and engineers across the company.

You will collaborate with Context and Understanding and DeepMind teams to drive data strategy for model development, define technical roadmaps, and influence engineering and product priorities at

Qualifications

• 8 years of experience in program management.
• Experience with software development lifecycle (SDLC).
• Experience executing AI/ML programs and leveraging AI for productivity/automation.

Responsibilities

• Manage cross-product area programs of high complexity, high risk, and scope and critical customer landscape.
• Drive technical products launch predictably and within defined success criteria. Shape the overall direction of technical programs, ensuring alignment with long-term business objectives and company goals.
• Foster strong strategic partnerships with leadership, engineering, and product managers to ensure initiatives align with overall engineering and product priorities. Execute and communicate program status to various audiences, including cross-functional and executive leadership.
• Introduce tooling, automation and process efficiencies; provide comprehensive support to teams, enabling them to execute with high degree of fidelity and efficacy.
• Establish new programs or transform existing programs through continuous improvement. Serve as a thought leader, advocating new ideas, methodologies, and best practices in program management.

Skills

Program management

SDLC

AI/ML programs

Education

Bachelor's degree in a technical field

Job description

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience with software development lifecycle (SDLC).
• Experience executing AI/ML programs and leveraging AI for productivity/automation.

Preferred qualifications:

• Advanced degree in a highly quantitative field (such as Computer Science, Engineering, Operations Research) or equivalent practical experience.
• 8 years of experience managing cross-functional or cross-team projects.
• Understanding of the complex relationship between the organization and its environment, identifies connections, adopts different perspectives and quickly responds to changing circumstances in a strategic way.
• Strong ability to understand complex technical concepts and communicate them clearly to non-technical audiences.
• Strong technical aptitude to define requirements to track delivery, data utility and support data infrastructure demands.
• Strategic thinking, negotiation, and communication skills, with proven experience partnering with and advising executive leadership.

About the job:

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

The Context and Understanding organization at Google is responsible for building infrastructure and services that acquire, understand, index, and serve various types of data. The team serves Google's mission by leveraging ML and traditional retrieval technologies to enable fast, planet-scale retrieval for critical businesses like Search, Lens, Cloud, YouTube, and Shopping.

As a Technical Program Manager, you will lead strategic initiatives in the AI space that directly contribute to company level objectives for model training. In this role, you will collaborate within Context and Understanding and DeepMind teams to drive the strategy and execution of high quality, targeted data for model development. This degree of ambiguity puts you in close partnership with executive level engineering and cross-functional leaders to define technical roadmaps, and foster a culture of high business impact.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Responsibilities:

• Managecross-product area programs of high complexity, high risk, and scope and critical customer landscape.
• Drive technical products launch predictably and within defined success criteria. Shape the overall direction of technical programs, ensuring alignment with long-term business objectives and company goals.
• Foster strong strategic partnerships with leadership, engineering, and product managers to ensure initiatives align with overall engineering and product priorities. Execute and communicate program status to various audiences, including cross-functional and executive leadership.
• Introduce tooling, automation and process efficiencies; provide comprehensive support to teams, enabling them to execute with high degree of fidelity and efficacy.
• Establish new programs or transform existing programs through continuous improvement. Serve as a thought leader, advocating new ideas, methodologies, and best practices in program management.