In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).
gUP’s Trusted Tester program enables pre-launch insights from real users to ensure product quality and market fit at scale. Our program increases product and feature quality at launch with a specific focus on GenAI products and features. The Trusted Tester program is critical for our product area stakeholders, and is a gUP Technical Solutions and Insights Core Priority.
As a Program Manager and Solutions Engineer focused on the Cross-Product Area (xPA) program, you own the operational infrastructure supporting
cross-functional and cross-organizational workflows to enable scaled pre-launch product and feature testing across Google. You proactively identify, organize, and lead program initiatives to deliver business, operational, and technical improvements at scale. You scope, phase, and lead ambiguous
cross-functional and cross-organizational projects to address challenges within the program and capitalize on new opportunities. In this role, you will also exercise technical judgment across multiple teams to develop technical analysis, tools, and processes that support research and engineering execution, excellence, and velocity. You embrace the evolving tooling landscape for tech workers, balancing present speed and long-term resilience.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $222000 (USD) + 15% bonus target + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Lead complex program charters by defining scope, Objectives and Key Results (OKRs), and resourcing while utilizing data-driven insights to manage risks and facilitate executive-level stakeholder decision-making.
- Strategize with cross-functional partners to prioritize objectives and deliver optimized communication plans that ensure alignment between executive leadership and key technical teams.
- Implement scalable tooling to integrate user-centric insights into the development lifecycle, bridging requirements between UX researchers, product managers, and engineers to resolve constraints.
- Evaluate engineering feasibility, milestones, and resourcing needs by staying current with evolving technology landscapes to ensure accurate scoping and execution of technical initiatives.
- Lead organizational pivots and change management roll outs, monitoring progress and implementing continuous process improvements to mitigate risks and unblock critical program obstacles.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, in a related technical discipline, or equivalent practical experience.
- 6 years of experience working with database technologies (e.g., SQL, NoSQL).
- 6 years of experience coding with one or more programming languages (e.g., Python, Java, or JavaScript).
- Experience troubleshooting technical issues for internal/external partners or customers, and program managing within a technical organization.
Preferred qualifications:
- Proficiency in continuous improvement, execution, organizational change, and stakeholder management.
- Knowledge of AI and actively seeking opportunities to use AI technologies to lead improvements across programs.
- Ability to demonstrate technical understanding and comfort working with engineers and with technology.
- Ability to communicate clearly, actively, and align shared or conflicting goals to arrive at the best collective outcome and effective collaboration attributes.
- Excellent planning skills with the ability to organize ambiguous projects into clear longer-term objectives.
- Excellent unstructured problem-solving skills, with the ability to draw insights from data.