Partnerships
turbopuffer
Partnerships
turbopuffer
Serverless vector and text search database
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
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.
Explore more opportunities at turbopuffer