Technical Program Manager, Cloud Supply Chain and Operations

1 Month ago • 8-8 Years • Logistics • $183,000 PA - $271,000 PA

Job Summary

Job Description

As a Technical Program Manager at Google, you will lead complex, multi-disciplinary projects related to Cloud Supply Chain and Operations. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate with cross-functional partners. Responsibilities include establishing a reliable cadence for program reviews, leading a governance structure for effective decision-making, identifying change management opportunities, leading data analysis for quality goals, investigating quality escapes, and partnering with various teams to drive quality initiatives. The role requires strong technical expertise and experience in program management, machine learning, and AI/ML, particularly within Contact Center AI (CCAI).
Must have:
  • 8+ years program management experience
  • 8+ years machine learning experience
  • 3+ years AI/ML product development/launch experience
  • CCAI experience
  • Lead program reviews and decision-making
  • Drive quality initiatives with cross-functional teams
Good to have:
  • 8+ years managing cross-functional projects
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree in a relevant field, or equivalent practical experience.
  • 8 years of experience in program management.
  • 8 years of machine learning work experience.
  • 3 years of experience developing or launching products or technologies within artificial intelligence or Machine Learning (AI or ML) and experience in Contact Center AI (CCAI).

Preferred qualifications:

  • 8 years of experience managing cross-functional or cross-team projects.

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.

In the role of Quality and Reliability Technical Program Manager (TPM), you will work with quality Technical Leads, Engineering, Supply Chain, Data Center Operations, and other key contributors and stakeholders to define quality targets, monitor key metrics, initiate corrective and preventative actions as needed, and regularly report quality status to leadership and cross functional teams.

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 $183,000-$271,000 + 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 .

Responsibilities

  • Establish a reliable and visible cadence for program reviews, decision-making, prioritization, and Resource Stewardship (effective deployment of machine and people resources) whereby improvements such as efficiency and utilization gains are measurable and the impact can be felt organization wide. 
  • Lead a governance structure that drives effective executive decision-making. Ensure governance structure effectively exposes and mitigates dependencies.  
  • Seek out and identify change management opportunities that increase program velocity and which affect multiple teams. 
  • Lead data analysis effort in support of quality goals. Investigate quality escapes by working with analytics and engineering teams
  • Partner with Supply Chain, Logistics, Server Operations, Reliability and Product and Supplier Quality teams to drive quality initiatives

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