GenAI Program Management Solutions Engineer

Google

Town of Montana (WI)

On-site

USD 152,000 - 221,000

Full time

13 days ago
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Job summary

Google's gUP team is seeking a Mid-level Solutions Engineer and Program Manager to lead cross-functional initiatives around GenAI pre-launch testing and operational infrastructure.

You will partner with engineers, UX researchers, and product teams to scope, plan, and deliver scalable tooling and workflows, ensure clear OKRs, manage risks, and drive continuous improvements across programs.

Qualifications

  • 6 years of experience working with database technologies (SQL, NoSQL).
  • 6 years of experience coding with one or more programming languages (Python, Java, or JavaScript).
  • Experience troubleshooting technical issues for internal/external partners or customers, and program managing within a technical organization.

Responsibilities

  • Lead complex program charters by defining scope, OKRs, and resourcing with data-driven insights for decision-making.
  • Strategize with cross-functional partners to prioritize objectives and deliver optimized communication plans for alignment between leadership and technical teams.
  • Implement scalable tooling to integrate user-centric insights into the development lifecycle, bridging requirements between UX researchers, product managers, and engineers.
  • Evaluate engineering feasibility, milestones, and resourcing needs by staying current with evolving technology landscapes for accurate scoping and execution.
  • Lead organizational pivots and change management rollouts, monitoring progress and implementing continuous process improvements to mitigate risks.

Skills

Database technologies
Programming languages
Troubleshooting
Program management

Education

Bachelor's degree in Engineering/CS

Job description

Google's gUP team is seeking a Mid-level Solutions Engineer and Program Manager to lead cross-functional initiatives around GenAI pre-launch testing and operational infrastructure.

You will partner with engineers, UX researchers, and product teams to scope, plan, and deliver scalable tooling and workflows, ensure clear OKRs, manage risks, and drive continuous improvements across programs.

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