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Gemini Partner Engineer, gTech Users and Products

Gemini Partner Engineer, gTech Users and Products

1 Hour ago • 9-9 Years • Product Management

About the job

Summary

The Gemini Partner Engineer at Google's gTech Users and Products (gUP) contributes to expanding Gemini's capabilities. This role involves shaping the future of human-AI interaction, building partner-facing solutions, and improving the model's capabilities. Responsibilities include serving as a technical expert, mentoring team members, contributing to LLM-based solutions, influencing product strategy, staying updated on industry trends, and advocating for partners and user experience. The ideal candidate possesses extensive experience in web technologies, programming languages, software development, and technical troubleshooting, along with strong collaboration and communication skills. This position is at the forefront of AI technology and innovation, offering opportunities to build first-of-their-kind technical solutions and improve Gemini's market reach.

8 skills required for this role

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html

javascript

cpp

css

python

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cross-functional

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Must have:

9+ years web tech experience (HTML, CSS, JavaScript, HTTP)
9+ years coding experience (Python, C++, etc.)
5+ years software development & system design
Technical troubleshooting & partner management
Expertise in LLM solutions and processes

Good to have:

MBA or Master's degree
Experience with external clients/partners
Machine Learning experience (6+ years)
Experience with geographically distributed teams
Independent work, prioritization, project management

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Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
9 years of experience working with web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
9 years of experience coding with one or more programming languages (e.g. Python, C++).
5 years of experience with software development and with architectural components and system design.
Experience in technical troubleshooting, and managing internal/external partners or customers.

Preferred qualifications:

MBA or Master's degree in Computer Science or Engineering, a related technical field, or equivalent practical experience.
9 years of experience running technical engagements with external clients/partners.
6 years of experience using Machine Learning and building solutions.
Experience collaborating with geographically distributed teams to execute on a shared goal.
Ability to work independently, prioritize team assignments and manage multiple projects simultaneously.
Ability to share opinions on and contribute to complex technical projects and influence direction with stakeholders.

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).

Gemini is a nascent and fast-changing space that is both exciting and ambiguous. You will be shaping the future of human-Artificial Intelligence (AI) interaction and building innovative partner-facing solutions that seamlessly integrate into users' daily lives, and thrive in a nascent, growing and fast-paced environment, this role is at the forefront of this field. The gTech Users and Products (gUP) Gemini Partner Engineering team is a highly technical, collaborative and passionate group that brings the best of Gemini to users through first party and third party partner integrations.

In this role, you will be contributing to the expansion of Gemini’s capabilities. You will shape the future of highly competitive area at the forefront of AI technology and innovation, evolve how Gemini can get more done for users through partner integrations, build first-of-their-kind technical solutions, improve the model's capability/bring it to market, and dive into evaluations to understand the gaps and address opportunities.

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 .

The US base salary range for this full-time position is $171,000-$257,000 + 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 .

Responsibilities

Serve as the technical expert for the team, providing guidance on architecture, design, implementation, and best practices.
Mentor and coach team members, foster their technical growth and development through code reviews, collaborative troubleshooting, and knowledge sharing.
Contribute to the evolution of Gemini through Large Language Model (LLM)-based solutions/processes (ex: tools/colabs) for partner schema ingestion, data preparation and quality iterations, prompt engineering, running evaluations, loss bucket analysis, Supervised Fine Tuning (SFT) data points.
Influence product strategy and work with cross-functional teams to bring partner-facing features to market. Stay up-to-date on industry trends and latest Machine Learning (ML) research, tools and techniques.
Advocate for partners, user experience, and for partner success with Engineering and Product teams.

View Full Job Description

$171.0K - $257.0K/yr (Outscal est.)

$214.0K/yr avg.

Worldwide

About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.