Principal Engineer, Applied AI, Cloud Applications

Minimum qualifications:

• Bachelor’s in Computer Science, Software Engineering, or Information Technology, or a related technical field, or equivalent practical experience
• 15 years of software engineering experience
  
• Experience creating roadmaps for execution, including timelines and projected engineering resources
• Experience influencing multiple teams of engineers concurrently while partnering across the organization on development initiatives
• Experience as a technical leader, leading engineering teams and supporting the development of innovative technology

Preferred qualifications:

• Master's degree or PhD in Computer Science or equivalent practical experience
• Experience as an engineering leader
• Experience innovating with technology at scale, while motivating others to act by creating a shared sense of outlook and purpose
• Expertise in databases/storage, including structured and unstructured blobs, applying to a scale of users, including understanding concepts of cost, reliability, and compliance. Knowledge of Spanner
• Expertise in OLAP or analytics workflows, and how to extract data insights both real-time and in batch
• Knowledge in databases, storage, and analytical processing

About the job

As a Principal Engineer in Applied AI, you will be responsible for the technical architecture for the product portfolio. Through having an entrepreneurial and strategic mindset, you will deliver architecture that enables the ability to deliver high impact features, at a faster time to market, with reduced cost, while managing data governance and reliability requirements. You will partner with other Google Cloud AI experts and researchers to ensure appropriate architecture and apply research ideas. You will work cross-functionally to execute the architecture and enable feature launches, cost savings, reliability, and data insight improvements. Technical scope includes CES (Engagement Suite) CCA, Food Ordering, and Healthcare Life Sciences. You will be responsible for technical guidance and architecture across Applied AI products. You will be expected to actively develop and grow talent through effective mentoring, coaching, and retention strategies for key talent while providing an environment where everyone can do their very best work.

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.

Responsibilities

• Provide technical outlook and strategy for the team. Design and lead a multi-year technical roadmap, balancing short- and long-term technology investments.
• Partner closely with Research and partner teams to apply research to current product experiences, and build infrastructure to facilitate this development.
  
• Partner closely with Product Management, UX, Program Management, and other Google Engineering teams to create, drive, and deliver an innovative, compelling and user-friendly experience to our customers.
  
• Lead, through influence, an engineering team to innovate, invent, implement, and deploy complex software solutions in a commercial, mission-critical environment with a focus on scalability, efficiency, performance and sustainability.
  
• Unlock roadblocks at corporate level and cultivate collaboration with senior technologists across Google through leadership, creativity, intelligence, and presence.