Principal PM: Vector AI & Search Platform

Elastic; United States; Remoto; USD 200.000 - 316.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive pay

Health coverage

Flexible locations

Generous vacation days

Donation matching

Volunteer hours

Parental leave

Descrizione del lavoro

Elastic is seeking a Principal Product Manager to lead strategy and roadmap for embedding/reranking, vector database, and related capabilities. You will be the go-to expert on search/vector search, guiding indexing and hybrid retrieval with engineering and research teams.

In this senior role, you will own the vision for Elastic's vector database and core search use cases, from low-level indexing internals to developer-facing APIs and SDKs.

Competenze

• Bachelor's degree in Computer Science, Engineering, or related field.
• Master's degree in a relevant discipline preferred.
• 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms.
• Working knowledge of vector search fundamentals: embeddings, ANN indexing, recall vs latency, hybrid retrieval.
• Working knowledge of generative models, model fine tuning, and document processing for large corpora.
• Track record shipping developer- or infrastructure-facing products that scaled.

Mansioni

• Conduct market research on search/vector databases and SOTA model research to manage unstructured data with the model team.
• Evaluate the competitive landscape and develop user personas to guide features.
• Collaborate with cross-functional teams to align strategy with business goals and prioritize features by customer feedback.
• Establish long-term goals and milestones for vector use cases; document AI and unstructured data management; allocate resources and validate roadmaps.
• Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database and core search use cases, from indexing internals to APIs/SDKs.
• Partner with engineering and applied research on trade-offs; define metrics: recall, latency, index size, throughput, total cost of ownership.
• Define a unified strategy across embedding/reranking models, vector indexing, semantic ingestion, model lifecycle, and retrieval quality.
• Manage operating cadence; align research, cloud, and engineering metrics and priorities.

Conoscenze

PM experience

Vector search

Embeddings

Hybrid retrieval

Model fine-tuning

APIs & SDKs

Formazione

Bachelor’s degree in CS/Engineering or related

Master’s degree preferred

Descrizione del lavoro

Elastic is seeking a Principal Product Manager to lead strategy and roadmap for embedding/reranking, vector database, and related capabilities. You will be the go-to expert on search/vector search, guiding indexing and hybrid retrieval with engineering and research teams.

In this senior role, you will own the vision for Elastic's vector database and core search use cases, from low-level indexing internals to developer-facing APIs and SDKs.