Job Details
Posted date: Sep 09, 2024
Location: Kirkland, WA
Level: Executive
Estimated salary: $338,500
Range: $278,000 - $399,000
Description
Lead technical direction of several teams covering the whole spectrum of data analytics from data organization and data exploration to results.Work closely with product management to define the product roadmap and ensure that GenAI is used to its full potential.
Collaborate with designers to create user-friendly and intuitive data analytics interfaces.
Work with other stakeholders to ensure that GenAI-powered data analytics products are aligned with the company's overall business goals.
Stay up-to-date on the latest trends in Data Analytics, and Artificial Intelligence (AI).
As a Principal Engineer, you will be responsible for leading technical direction for teams of engineers in the development and delivery of Machine Learning and Generative AI (GenAI) powered data analytics products. You will work closely with product managers, designers, and other stakeholders to ensure that GenAI is used to its full potential to create innovative features for BigQuery. You will guide the teams to build tools and platforms that will empower BigQuery users to get more value and better informed decisions out of the data.
You will set and communicate a clear technical direction that supports our business goals, drive standards for engineering excellence that lead to scale and customer satisfaction, and effectively collaborate with other leaders across various functions and execution areas. You will understand and contribute to technical and operational problems of significant complexity. As Google Cloud embraces differences of opinion and a culture of respect, you will be able to mentor other leaders and individual contributors and become a great cultural addition.
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 $278,000-$399,000 + 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.
Qualifications
Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience.15 years of experience in engineering leadership or related technical roles.
10 years of experience operating in an entrepreneurial environment, scaling new and emerging products from the ground-up.
5 years of experience working with Machine Learning, AI, and Large Language Models (LLM) to process and create data.
Preferred qualifications: PhD in Computer Science or similar field.
10 years of experience working in the data and analytics or Business Intelligence space.
Experience bringing innovative, industry-leading, category-defining tech products to market.
Experience working with executive level internal and external clients/partners, acting as a representative of the company.
Ability to work cross-functionally, partnering with groups (e.g., Product Management, Product Marketing, UX and UI), brokering trade offs with stakeholders and understanding their needs.
Excellent communication, narrative and storytelling, and presentation skills.
Extended Qualifications
Bachelor's degree in Computer Science or equivalent practical experience.15 years of experience in engineering leadership or related technical roles.
10 years of experience operating in an entrepreneurial environment, scaling new and emerging products from the ground-up.
5 years of experience working with Machine Learning, AI, and Large Language Models (LLM) to process and create data.
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