Principal PM for AI & Vector Search Platform

Elastic; United States; Remote; USD 136,000 - 215,000; Full time

Benefits offered by this job

Stock program

RRSP match

Health coverage

Flexible locations and schedules

Generous vacation days

Volunteer time

Parental leave

Job summary

Elastic, a leader in Search AI, seeks a Principal Product Manager to own the strategy for embedding/reranking, vector databases, and related capabilities. You will define the roadmap for vector indexing, hybrid retrieval, and developer-focused APIs, collaborating with engineering and research to meet customer needs and stay ahead in AI technology.

The role emphasizes shipping at scale, guiding trade-offs, and defining metrics like recall, latency, and cost of ownership across Serverless and

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Master's degree in a relevant discipline preferred.
• 8+ years in product management, with focus on technical infrastructure, databases, search, or ML/AI platforms.
• Strong knowledge of vector search fundamentals, embeddings, ANN indexing, and hybrid retrieval.
• Familiarity with generative models, model fine tuning, and document processing for large corpora.
• Proven experience shipping developer- or infrastructure-facing products at scale.

Responsibilities

• Lead strategy and roadmap for embedding/reranking, vector database, and related capabilities.
• Guide direction on search/vector search, vector indexing, and hybrid retrieval.
• Collaborate with engineering and research to align with business goals and market needs.
• Define long-term goals and milestones for vector use cases and AI data management.
• Own vision and multi-quarter roadmap for vector database and core search use cases.
• Partner with engineering and applied research on trade-offs; define key metrics (recall, latency, index size, throughput, TCO).
• Set unified strategy across embedding models, indexing, lifecycle, and end-to-end retrieval quality.
• Manage operating cadence; align research, cloud and engineering; communicate updates to stakeholders.

Skills

Vector search

Embeddings

ANN indexing

Hybrid retrieval

Generative models

Model fine-tuning

Dev-facing products

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Job description

Elastic, a leader in Search AI, seeks a Principal Product Manager to own the strategy for embedding/reranking, vector databases, and related capabilities. You will define the roadmap for vector indexing, hybrid retrieval, and developer-focused APIs, collaborating with engineering and research to meet customer needs and stay ahead in AI technology.

The role emphasizes shipping at scale, guiding trade-offs, and defining metrics like recall, latency, and cost of ownership across Serverless and