- 12+ years in data platform/infrastructure roles, with 5+ years in senior leadership
- Proven track record of leading large-scale platform transformations
- Experience building production embedding systems and vector databases
- History of building and scaling teams of 20+ engineers
- Deep expertise in modern data architectures (data mesh, lakehouse, streaming-first)
- Proficiency with, Stream processing (Kafka, Flink, Spark Streaming), Modern data warehouses/lakes (Snowflake, Databricks, BigQuery), Workflow management (Airflow, etc), Container orchestration (Kubernetes, EKS/GKE), Infrastructure as Code (Terraform, CloudFormation), ML platforms (MLflow, Kubeflow, SageMaker)
- Exceptional communication skills to articulate complex technical concepts to diverse audiences
- Strategic thinking with ability to balance long-term vision with short-term deliverables
- Strong business acumen to connect technical decisions with business outcomes
- Track record of influencing without authority across organizational boundaries
- Knowledge of privacy-preserving analytics and clean room technologies
- Contributions to open-source projects in ML infrastructure or vector search
- Advanced degree in Computer Science, Machine Learning, or related field
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