Technical Product Lead, Deal and Payment Solutions, YouTube
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 3 years of experience troubleshooting technical issues for internal/external partners or customers.
- 3 years of experience with data analysis and SQL/MySQL.
- Experience in system architecture and code comprehension/reading in one programming language (e.g., Java, C++, Python).
Preferred qualifications:
- Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field.
- 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
- 5 years of experience in a customer-facing role.
- 5 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc).
- Experience drawing insights from large data sets using SQL to drive both business and technology decisions.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
In this role, you will play the central role in defining and implementing the strategy for how we validate, measure, and govern the critical data that powers YouTube's negotiations and partner payments.You will develop strategies for validating data at scale, establish the metrics and build the dashboards that measure data accuracy, design rules-based engines to check data quality, and own the operational workflows for our human-in-the-loop review teams.
You will own the product goal for our contract creation platform built on Salesforce, working with engineering to simplify complex workflows, achieving unprecedented scale and accuracy. You will own the data quality life-cycle, from strategic ideation to operational execution, and see your work directly influence YouTube's bottom line.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
Responsibilities
- Lead the strategy and design of products and capabilities that ensure the integrity of data across YouTube’s business organization.Own the data quality life-cycle the goal, roadmap, prioritization, research, requirements, and execution for all data validation initiatives.
- Partner with engineering teams to translate your data quality strategies into technical solutions, including rules-based engines and data model enhancements.
Partner on the product strategy for AI-driven products like our automated contract term extraction tool. - Write and execute complex SQL queries to perform in-depth search data analysis, identifying patterns and opportunities for quality improvement.
- Design, build, and maintain a suite of dashboards and reports that provide a real-time view of data accuracy and completeness for stakeholders.
- Communicate insights and build consensus across cross-functional teams, the importance of data quality.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.