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turbopuffer

Serverless vector and text search database

Partnerships

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Comfort discussing application programming interfaces and cloud infrastructure.
  • Ability to build partnerships around revenue outcomes and develop partner strategy and deals independently.
  • Understanding of cloud service provider marketplaces as a sales channel.
  • Ability to navigate large partner organizations, identify relevant contacts, and drive signed integrations and revenue.
  • Ability to write clearly and explain complex ideas simply.
  • Ability to build trust across companies and recognize when additional support is needed.

Responsibilities

  • Determine which partnerships to pursue, including cloud service providers, peers, systems integrators, and labs.
  • Own relationships with cloud providers, including Google Cloud Platform, Amazon Web Services, and Microsoft Azure, and develop marketplace listings into pipeline.
  • Create repeatable sales motions through co-selling, marketplace transactions, and joint accounts.
  • Secure turbopuffer's inclusion in implementations run by systems integrators.
  • Structure partnership deals and co-selling motions and negotiate them with partner alliance teams.
  • Work with engineering to incorporate partner needs into the product.

Desired Qualifications

  • Experience establishing technical partnerships, cloud alliances, or marketplace go-to-market at an infrastructure or developer-tool company.
  • Hands-on experience with Google Cloud Platform, Amazon Web Services, or Microsoft Azure marketplaces, including private offers, metering, or co-sell programs.
  • Background in vector search, full-text search, or data infrastructure.
  • Comfort building demos, integrations, or lightweight tooling independently.
  • Experience closing co-sell deals while maintaining constructive partner relationships.

About the Company

turbopuffer

Serverless vector and text search database

Turbopuffer provides a serverless vector and full-text search database for AI apps. It uses a tiered storage system that places data in low-cost object storage as the primary store, with an NVMe cache and memory tier to keep hot data fast, and it automatically moves data between tiers based on usage patterns. This approach lowers costs versus in-memory vector databases, with clients reporting substantial savings and low latency for frequently accessed data. The company aims to make AI infrastructure affordable and scalable by offering cost-effective, serverless vector and search capabilities that optimize storage automatically.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Ottawa, Canada
Founded
2023

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