Solutions Consultant, GenAI ML Data and Developer Services

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience developing or revamping and managing processes involving temps, vendors, contractors or other external groups.
  

Preferred qualifications:

• MBA or other advanced degree or equivalent practical experience.
  
• Experience collecting feedback from stakeholders and collaboration across multiple teams.
  
• Experience thinking strategically, with exceptional writing and analytical skills.
  
• Experience navigating ambiguity and driving solutions.
  
• Exposure to Machine Learning frameworks.
  

About the job

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).

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.

The US base salary range for this full-time position is $106,000-$156,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Lead strategic initiatives that directly affect the training and evaluation data scaling efforts for GenAI products.
  
• Serve as an engagement lead and thought partner for various internal stakeholders. Proactively manage robust, executive-facing communications regarding program status, risks or blockers, issues, and priorities.
  
• Manage human-in-the-loop workflows ensuring quality data for training and model tuning are delivered in a timely fashion and within budget.
  
• Build subject matter expertise and stay up-to-speed on data best-practices related to Machine Learning (ML) model training/fine tuning, key performance indicators, and evaluative criteria.
  
• Collect and synthesize user feedback to the stakeholders to influence product improvements directly.