Principal Engineer, AI and Business Intelligence, Looker
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- 15 years of experience in SaaS web applications architecture and building systems.
- 10 years of experience engineering and operating data-focused systems (e.g., PowerBI, Looker, Tableau, etc.).
- 10 years of experience driving product innovations and technical roadmaps across stakeholders.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering or Computer Science.
- Experience balancing legacy migrations and greenfield development.
- Experience in business intelligence, reporting/dashboarding, and embedded analytics.
- Experience interacting with customers to represent the team and the organization.
- Understanding of the technology involved in analytics (e.g., ETL, data governance, BI tools).
About the job
Within Google Cloud, Looker is the core of our business intelligence (BI) and analytics platform. Our mission is to reinvent BI by moving it from a 'descriptive' (what happened) tool to a 'prescriptive' and 'collaborative' partner (what should we do next?). We are doing this by deeply infusing Generative AI into the Looker platform. This is an opportunity to change how the world interacts with data. This role is central to that mission, defining how we leverage Looker's unique semantic layer to provide trusted, governed, and conversational data experiences to everyone.
In this role, you will be an expert visionary and generalist, leading the technical and architectural reinvention of the Looker platform. You will define and drive the long-term strategic technical priorities for integrating AI as a core competency into our BI product.
Additionally, you will be responsible for defining how Generative AI, machine learning, and our semantic layer (e.g. LookML) will converge to create a truly conversational, trusted, and predictive analytics experience. This role will employ a hybrid approach of direct technical guidance, mentorship, and risk/growth management. You will act as an escalation point for technical decisions across the team when necessary and function as a trusted partner for other C-level leaders in defining strategy and shaping our investment portfolio. You will function as a trusted partner and key technical influencer both internally and externally.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Work closely with our strategic customers to understand their challenges and co-develop our AI-first roadmap.
- Partner with other C-level leaders in defining strategy and shaping our investment portfolio.
- Influence thought leaders across Google Cloud (e.g. Vertex AI) and Google (e.g., Google AI, DeepMind) to align roadmaps and leverage the best of Google's technology.
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