Drive the technical direction and multi-year road map for conversational agent data systems, collaborating with Principal Engineers to align infrastructure capabilities with the rapid evolution of Generative AI and Agentis verticals.

Architect and implement scalable, high-performance data solutions using Spanner and Google Cloud Platform (GCP), balancing the demands of real-time runtime storage with the complexity of massive-scale offline analytics.

Act as the primary technical liaison for cross-functional partner teams, clarifying project scope and setting the architectural direction for both the producers and consumers of core product data.

Advocate a culture of production excellence by leading design and code reviews across cross-site organizations.

Support critical infrastructure investments that address scalability bottlenecks, technical debt, and operations, guiding the team through complex migrations in a high-velocity environment.

Bachelor's degree or equivalent practical experience.

8 years of experience in software development.

5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

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 ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).