GTM

USA (On-site)

Salary Not AvailableMid LevelFull time

Posted 4 months ago

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Job Summary

Drive end-to-end enterprise sales for Mindra by turning founders’ learnings into a repeatable revenue engine.

  • Own the end-to-end enterprise sales motion from outreach to close.
  • Define pricing and packaging that actually converts into recurring revenue.
  • Build partnerships and shape Mindra’s market voice, content, and onboarding.

Job Description

Responsibilities

  • Take what founders have learned from early deals and turn it into a sales motion that repeats
  • Build the playbook — outreach, qualification, demo, procurement, close
  • Run enterprise sales cycles yourself, end to end
  • Deal with procurement, security reviews, buying committees
  • Own marketing, content, and how Mindra sounds in the market
  • Build partnerships when that makes sense
  • Handle onboarding and customer success because there’s nobody else
  • Figure out pricing and packaging that actually works
  • Hire your team when you’ve earned it

Preferred

  • Have sold AI or infrastructure products to technical buyers
  • Have startup scars
  • Have closed six-figure deals at a company nobody had heard of
  • Have built content that actually brought in pipeline, not just impressions

Mindra

Companies outsource or build various AI agents. However, there is a high barrier to entry: only engineers can build the flows, and only engineers can fix them when they inevitably break because of an unexpected edge case.At Mindra, we provide a universal connector for AI agent endpoints that the company already has. After this integration, Mindra can be prompted to complete complex enterprise problems.When faced with a complex problem, orchestrator agent in Mindra automatically breaks it down into sub-tasks and intelligently assigns AI agents in the system to solve each part - similar to how LLMs choose internal tools, but with autonomous agents instead.This creates a dynamic orchestration layer where the system reasons about what needs to be done, which agents are best suited for each sub-task, and how to coordinate their outputs into a coherent solution - enabling more complex, multi-step workflows that single LLM calls or rigid tool chains can not handle.

Founded in 2025
San Francisco, California, USA
5 employees

Headcount Trend

Current headcount: ~5

Funding

Total Funding
$1.2M
Last Raise
$1.2M
Pre Seed, 5 months ago

Funding History

  • Nov 2025
    Pre Seed • $1.2M