Group Product Manager, AI Query Engine, BigQuery

3 Days ago • 10-15 Years • Product Management • $227,000 PA - $320,000 PA

Job Summary

Job Description

This Group Product Manager role focuses on the AI Query Engine (AIQE) within Google's BigQuery. Responsibilities include defining the product strategy and roadmap, aligning with company objectives and market trends in AI and data warehousing. The role involves leading the development of cutting-edge features using generative AI to enhance BigQuery's capabilities. Strong collaboration with engineering teams and cross-functional partners is crucial. The successful candidate will be a product leader, advocating for customer needs, ensuring product-market fit, and driving customer satisfaction through continuous improvement. This involves gathering and analyzing customer feedback to enhance offerings and deliver exceptional value. The role requires experience in product management, generative AI, large language models, and data analytics within the cloud space.
Must have:
  • 10+ years product management experience
  • 5+ years taking products from conception to launch
  • Generative AI/LLM experience
  • Data analytics/Cloud/ML experience
  • Cross-functional collaboration
  • Strategy & roadmap definition
Good to have:
  • Master's degree
  • Experience with executive-level clients
  • Experience in ambiguous environments
  • Building scalable products
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in product management or related technical role.
  • 5 years of experience taking technical products from conception to launch.
  • Experience with the domain area of Generative AI or Large Language Models.

Preferred qualifications:

  • Master's degree in a technology or business related field.
  • 10 years of experience in the space of data and analytics/Cloud/ML.
  • Experience operating in an ambiguous environment, proposing innovative approaches and solutions to address market shifts to capitalize on opportunity in a dynamic market.
  • Experience working with executive level internal and external clients/partners.
  • Demonstrated ability for building scale products, collaborating with engineering, working cross-functionally, and brokering trade offs with stakeholders and understanding their needs.

About the job

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.

AIQE brings the power of Large Language Models (LLMs) directly into BigQuery SQL. AIQE mobilizes LLMs’ real-world knowledge, linguistic understanding, and profound textual reasoning abilities to create an entirely new type of deep insights, regardless of the data format or complexity. AIQE is a cornerstone deliverable towards the vision of “autonomous data warehousing”.

Define the strategy and roadmap for the AI Query Engine by aligning with company objectives and AI/data warehousing trends. Drive product innovation for new customer journey improvements in SQL with features like generative AI, leading a distinguished engineering team and securing early customer adoption. Cultivate strategic partnerships across Google Cloud and the wider company is crucial for expanding the engine's reach.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

  • Define the strategy and roadmap for the AI Query Engine in BigQuery, ensuring alignment with broader company objectives and market trends in AI and Data warehousing. 
  • Lead the development and evolution of cutting-edge CUJs with compelling product features, incorporating advanced technologies like generative AI to enhance capabilities and accelerate customer adoption of multi-modal queries in BQ. Be the product leader for a highly distinguished team of engineers.
  • Forge and nurture relationships with key parter teams both in GCP (Vertex, Databases, AppEco) and Google wide to expand the reach and impact of the new query engine offerings.
  • Be an advocate for customer needs, ensuring there is good product/market fit, a focus on landing versus launching, and deliver exceptional value. Gather and analyze customer feedback to continuously improve offerings and drive customer satisfaction.

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