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 Google Cloud Applied AI team is working on incorporating new AI into the next generation agents. This work builds upon an already product line and will help enterprise customers enhance their chatbot and virtual agent experiences. This work is a core part of the Applied AI strategy to enhance our AI products and platforms to meet the demand of the market.

The Technical Program Manager (TPgM) team is a high execution team which requires AI and technical experience, product domain knowledge and real enjoyment of executing at a highly accelerated pace.

In this role, you will work closely with a large cross-functional team of Product Managers, engineers, and multitude of cross-functional teams to navigate the complex landscape of processes, deadlines and technologies. You will own large programs with broad scope, meaning you enjoy big-picture thinking while also in-depth search into technical projects with engineering. You will be a key partner for your peers as the broader organization works to deliver a cohesive generative AI ecosystem to our customers.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google Deep Mind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities

• Drive capacity programs across multiple products.

• Collaborate with software engineers, product managers, and cross-functional groups to drive software development, and manage technical dependencies across the stack.

• Define, continuously refine, and execute processes for gathering, assessing and prioritizing feature requests and problems requested.

• Manage a collection of technical programs, drive a multi-quarter roadmap, and communicate to a complex web of executive stakeholders.

• Drive alignment across teams/organizations/product areas to reach consensus on product direction, north-star metrics, engineering feasibility, etc.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.

• 5 years of experience in program management.

• Experience managing multiple day-to-day workstreams with internal and external stakeholders.

Preferred qualifications

• Experience executing product launch or go-to-market processes and launch execution.

• Knowledge of Google Cloud or other cloud technologies.

• Familiarity with ML/AI and differentiation of AI model building vs traditional software builds.

• Ability to ensure stakeholder alignment across key milestones and deliverables.

• Ability to advocate a strong team-based working environment and creation of partnerships with other teams.

• Ability to guide ambiguity and work collaboratively with multiple internal and external cross-functional teams.