Senior Product Manager, AI

Own the product vision, strategy, and roadmap for Teradata's vector search and unstructured data ingestion capabilities targeting enterprise AI applications.

Drive the development of vector and hybrid search features including indexing, filtering, ranking, and SQL-native execution at enterprise scale.

Ensure reliable, governed, and cost-efficient unstructured data pipelines with security and lineage from source to retrieval, enabling customers to move from RAG prototypes to production AI deployments.

Bachelor's degree in Engineering, Computer Science, or related field from a recognized institution.

6+ years in software product development, with at least 3+ years in product management focused on AI/ML, search, or data platform products.

Strong technical knowledge of embeddings, vector search techniques (e.g., HNSW, IVF), re-ranking, and understanding of RAG and LLMs.

Experience with unstructured data ingestion pipelines including document parsing, OCR, embedding generation, and cloud object storage connectors.

Experienced in building and scaling search, retrieval, or data ingestion products balancing recall, latency, freshness, and cost tradeoffs.

Hands-on with retrieval augmented generation applications and enterprise data integration combining structured and unstructured sources.

Comfortable with benchmarking against competitors and influencing cross-functional engineering and go-to-market teams without direct authority.