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ElasticPrincipal Product Manager II, AI/Vectors - Elasticsearch
Elastic, known as the Search AI Company, operates globally to help organizations locate answers in real time using large-scale data. The platform combines search capabilities with…
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About This Role
Elastic, known as the Search AI Company, operates globally to help organizations locate answers in real time using large-scale data. The platform combines search capabilities with AI to serve numerous Fortune 500 enterprises. The organization is currently hiring a Principal Product Manager II, AI/Vectors to guide the product direction for vector databases, embedding and reranking capabilities, and semantic ingestion. This senior position involves owning the overall vision, strategy, and multi-quarter…
Job Description
Elastic, known as the Search AI Company, operates globally to help organizations locate answers in real time using large-scale data. The platform combines search capabilities with AI to serve numerous Fortune 500 enterprises. The organization is currently hiring a Principal Product Manager II, AI/Vectors to guide the product direction for vector databases, embedding and reranking capabilities, and semantic ingestion.
This senior position involves owning the overall vision, strategy, and multi-quarter roadmap for vector search products spanning serverless and self-managed deployments. The selected individual will collaborate closely with engineering teams, applied research professionals, and executive stakeholders to define performance metrics like latency, recall, and total cost of ownership. Candidates should expect to manage technical trade-offs, drive feature prioritization based on market demands, and establish long-term product objectives for unstructured data management and document processing.
The position is based in London under full-time employment terms. Compensation consists of a base salary paired with stock program participation, an employer-matched RRSP up to six percent of eligible earnings, health coverage, parental leave, and volunteer time off.
Responsibilities
- Manage the strategy, vision, and multi-quarter roadmap for vector database features and core search use cases
- Partner with applied research and engineering groups to evaluate technical trade-offs
- Define key performance indicators including latency, recall, index size, ingestion throughput, and total cost of ownership
- Conduct market research and monitor competitive landscapes to shape feature decisions and product positioning
- Prioritize enhancements and feature updates based on customer feedback and technical feasibility
- Establish long-term goals for vector use cases, document AI, and unstructured data handling
- Align cloud, engineering, and research teams through a structured operating cadence and shared metrics
Requirements
- Over 8 years of product management experience focused on technical infrastructure, databases, search, or machine learning and AI platforms
- Working knowledge of vector search fundamentals such as embeddings, ANN indexing, and similarity metrics
- Familiarity with generative models, model fine-tuning, and document processing for large corpora
- Demonstrated history of shipping developer-facing or infrastructure products adopted at scale
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field
- Master's degree in a relevant academic discipline
Core Skills
Benefits
- Base salary compensation ranging from CAD 192,500 to CAD 304,500 per year
- Participation in the company stock program
- Company-matched RRSP with dollar-for-dollar matching up to 6 percent of eligible earnings
- Health coverage for employees and families in many locations
- Generous annual vacation days
- Financial donation matching up to 2000 dollars or local currency equivalent
- Up to 40 hours of paid time off yearly for volunteer projects
- Minimum of 16 weeks of parental leave
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for this role?
The starting base salary range is between CAD 192,500 and CAD 304,500 per year.
Is this a remote position?
The posting specifies that the employment type is full-time and the location is London, but it does not categorize the role as remote or hybrid.
What qualifications are required?
Applicants must have 8 or more years of product management experience in technical infrastructure, databases, search, or AI/ML platforms, along with working knowledge of vector search fundamentals and generative models.
Sample Interview Questions
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