Remotely
productmachine learningembeddingslatencysearchvector searchvector databasehybrid retrievalingestion throughput
Job Description
📋 Description
- Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model
- Evaluate the competitive landscape to enhance product positioning and develop user personas that
- Collaborate with cross-functional teams to align the product strategy with business goals while
- Establish long-term product goals and milestones for the vector use cases, document AI and
- Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core
- Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in
🎯 Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- Master’s degree preferred
- 8+ years in product management, with significant time on technical infrastructure, databases
- Working knowledge of vector search fundamentals, embeddings, ANN indexing, similarity metrics, and
- Working knowledge of generative models, model fine tuning, model capabilities and document
- Track record of shipping developer- or infrastructure-facing products adopted at scale.
🎁 Benefits
- Distributed company with emphasis on flexible locations and schedules
- Health coverage for you and your family in many locations
- Generous vacation days and flexible work-life balance
- Ability to craft your calendar with flexible locations and schedules
- Opportunity to contribute to charitable donations with matching programs
- Volunteer hours allowance and parental leave benefits