Senior Staff Uber Technical Lead, Observability Intelligence

In this role, you will serve as the Uber Technical Lead (UTL) for Observability Intelligence, driving strategic initiatives to pivot SRE incident response toward an AI-driven paradigm, at a pivotal moment of Google's monitoring systems undergo a generational evolution. You will be a part of a transformative shift away from a disjointed collection of isolated tools into a cohesive, "Northstar" observability ecosystem., * Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

• Define and socialize a cohesive "Observability Intelligence" strategy that aligns with the broader Monitoring Northstar, ensuring we build shared technical concerns once and solve them for the entire organization.
• Represent the Observability Intelligence organization in high-stakes technical reviews and collaborate across organizational boundaries (AlertManager, AI Operations, Incident Response Management, and Site Reliability Engineering teams across all Product Areas) to drive consensus on critical observability standards
• Act as the primary technical partner to Product Management, translating broad product "Whats" into scalable architectural "Hows."
• Lead high-level design reviews that ensure technical consistency across the stack, prioritizing interoperability, reusability, and semantic cohesion.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Do you have experience in Solution architecture design?, Do you have a Bachelor's degree?, * Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development.
• 7 years of experience managing technical projects, ML design, and working with industry ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with design and architecture; and testing/launching software products., * Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Familiarity with and interest in the current AI landscape (Large Language Model (LLMs), generative agents, etc)., As a part of this role, we are seeking a leader with a proven history of managing business-critical domains, possessing the expertise to navigate architectural trade-offs between urgent product requirements and long-term technical durability.The US base salary range for this full-time position is $262,000-$365,000 + 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.