DevTools · AI & ML · 50–200 · North America #b019_03

Context

We run a serverless compute platform where developers launch containerized GPU and CPU jobs from code, sharing hardware across many tenants.

Industry

DevTools & Software · AI & ML

Size

50–200 employees

Region

North America

Tools budget

$1K–5K per month

Needs

Cloud security posture. Untrusted customer code runs side by side on shared hardware, so isolation gaps in our cloud footprint worry us constantly.

Today: one infrastructure security engineer hardening sandbox isolation on self-managed container clusters · Urgency: this year

CRM & revenue operations. Self-serve signups and enterprise deals land in separate systems, and our pipeline reporting is stitched together by hand.

Today: a first revenue operations hire cleaning up pipeline data kept in spreadsheets · Urgency: now

Who decides

cto · team trial

Expects from suppliers

Product-led growth signals merged with sales pipeline; Isolation findings prioritized by real exploitability; Light setup for a lean ops team

Not a fit

Heavy consulting-led rollouts; Tools priced only for very large enterprises

Stack

serverless, multi-cloud, CRM in place

Buying triggers

rapid team growth, security incident risk