partnerships

Posted One Month Ago
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2 Locations
Remote
Entry level
Artificial Intelligence • Big Data • Cloud • Software
The Role
Build turbopuffer’s partner program from scratch, including partner strategy, cloud-provider relationships, marketplace listings, integrations, co-selling motions, joint accounts, and revenue generation. Negotiate alliance deals, engage systems integrators, translate partner needs to engineering, and develop repeatable marketplace and sales processes. The role requires technical fluency, independent execution, strong writing, and experience building trust across organizations.
Summary Generated by Built In

turbopuffer is looking for someone to build our partner program from scratch — the strategy, the integrations, and the first real revenue through it.
what you'll do:

  • decide which partnerships are worth it — which CSPs, peers, SIs, and labs to pursue, and which to ignore

  • own the relationship with cloud providers (GCP, AWS, Azure) and drive our marketplace listings from setup to real pipeline

  • turn partnerships into a repeatable sales motion: co-selling, marketplace transactions, joint accounts

  • get turbopuffer into the implementations that systems integrators are already running

  • structure the deals and co-sell motions, and negotiate them with partner alliance teams

  • work closely with engineering to fold partner needs back into the product

must have:

  • technical — you're comfortable discussing APIs and cloud infra

  • outcome-driven — you know a partnership only matters if it drives revenue, and you build toward that from day one

  • owner — you can set partner strategy and structure deals, not just execute someone else's plan

  • marketplace-minded — you understand CSP marketplaces as a sales channel, not just a listing

  • independent — meetings aren't the goal. you navigate a large partner org, find the right people, and drive things to signed integrations and real revenue — no spec, no warm intro required

  • typist — you can write well and explain complex ideas simply

  • human — you build trust across companies and know when you're in over your head

nice to have:

  • experience standing up technical partnerships, cloud alliances, or marketplace GTM at an infrastructure or developer-tool company

  • hands-on experience with GCP, AWS, or Azure marketplaces (private offers, metering, co-sell programs)

  • vector search, full-text search, or data infrastructure background

  • comfort building demos, integrations, or lightweight tooling yourself

  • you've closed co-sell deals without becoming the person who blames the partner when they slip

tpuf is hardcore & whimsical. we value:

  • overstep > understep

  • show > tell

  • complexity is earned

  • showing up as part of our customer's team

  • making stuff easy to react to

Skills Required

  • Comfort discussing APIs and cloud infrastructure
  • Outcome-driven approach focused on partnership revenue
  • Ability to set partner strategy and structure deals independently
  • Understanding of cloud provider marketplaces as sales channels
  • Ability to navigate large partner organizations and drive integrations and revenue
  • Strong writing skills and ability to explain complex ideas simply
  • Ability to build trust across companies
  • Experience standing up technical partnerships, cloud alliances, or marketplace go-to-market at an infrastructure or developer-tool company
  • Hands-on experience with GCP, AWS, or Azure marketplaces, including private offers, metering, or co-sell programs
  • Background in vector search, full-text search, or data infrastructure
  • Ability to build demos, integrations, or lightweight tooling
  • Experience closing co-sell deals
Am I A Good Fit?
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The Company
30 Employees
Year Founded: 2023

What We Do

turbopuffer is a serverless search engine that combines vector and full-text search using object storage. It is designed to make large amounts of data searchable for AI applications, offering high scalability, performance, and cost-efficiency by separating compute and storage. It serves as a critical infrastructure layer for companies needing to retrieve context for AI models, handling billions of documents with low latency.

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