Experience Inc. Jobs

Job Information

Google Senior Product Manager, Natural Language Processing, Google Assistant in Mountain View, California

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in product management, consulting, co-founder or related technical role.

  • 3 years of experience building and shipping technical products.

  • 3 years of experience developing, launching products/technologies in AI/ML and Natural Language Processing (NLU).

Preferred qualifications:

  • Master's degree in Technology, or a Business related field.

  • 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.

  • 4 years of experience in a role preparing and delivering technical presentations to executive leadership.

  • Ability to navigate ambiguity and manage priorities in a fast-paced environment.

  • Excellent cross-functional and execution skills.

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

In this role, you will build a next-generation Natural Language Processing (NLP) stack powered by Large Language Models (LLMs) which will unlock advanced capabilities with higher quality.

The US base salary range for this full-time position is $168,000-$252,000 + 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 (https://careers.google.com/benefits/) .

  • Understand the NLP landscape and user needs across various product areas within Google.

  • Understand the process and flow for data pipelines, model building and iterations, and drive opportunities for quality improvements or strategic investments.

  • Partner with engineer to prioritize experimentation paths and deliver on NLP initiatives.

  • Partner with relevant research and other teams working in related areas for technical collaborations and learning.

  • Review the entire stack powered by LLMs, aimed at higher efficiency and developer velocity.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

DirectEmployers