Data Product Lead, Natural Language Search, YouTube - Google

San Bruno, CA

About the Job

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; New York, NY, USA; Mountain View, CA, USA.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
10 years of experience with data analysis and SQL/MySQL.
9 years of experience in either system design or in one programming language (Java, C++, Python, etc.).
9 years of experience in technical troubleshooting, and managing internal/external partners or customers.

Preferred qualifications:

Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field or equivalent practical experience.
Experience delivering data products at large enterprises with complex requirements.
Ability to navigate ambiguity in a fluid environment with multiple stakeholders.
Demonstrated ability to think critically and investigate, breaking down complex issues into manageable components.
Excellent business and technical communication, organizational, and analytical skills.

About the job

In this role, you will be part of a community of analytics professionals who work on high impact projects ranging from developing critical data pipelines that help run the business, build tools to analyze the content partnerships and creator ecosystem which guide business leadership on optimizing the effectiveness and efficiency of our partner facing business teams. You will develop solutions for enabling Natural Language Search (NLS) at scale for business users that may be ambiguous or lacking clear precedent. Anticipate upcoming opportunities (e.g., changing business needs, industry evolution) and proactively develop solutions. Generate and execute ideas for new project initiatives that make clear, wide, and measurable impact

Data is the fundamental building block for every tool and every insight. We build the data sets that help run the business, piping the relevant data into and out of our tools, and making it useful for analysts across the organization to drive reporting and insights.

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.

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 benefits at Google.

Responsibilities

Lead and manage Go-to-market products supporting the YouTube Business teams.
Serve as a subject matter expert in conversational analytics, with a proven track record of technical expertise and understanding of internal Google products/systems.
Utilize broad and deep, core technical role-related knowledge, relevant Google-wide technologies and processes, and translate business needs into technical solutions.
Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.
Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users to enable data-driven decision-making.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Source : Google