
Job Description
About Us
Middleware is an AI-driven cloud observability platform that helps engineering teams detect, diagnose, and automatically fix issues across Kubernetes, logs, traces, metrics, and more. With our Ops AI Agentic Mode, teams enjoy true autopilot observability—less noise, faster fixes, and smoother workflows. We’re on a mission to make infrastructure truly self-healing, and we’d love for you to be part of it!
About the Role
We’re looking for a full-time, on-site Account Executive in San Francisco. You’ll help us grow by building relationships, identifying new opportunities, sharing the magic of Middleware with prospects, and guiding them through the sales journey. You’ll collaborate with a fun, supportive team and play a key role in helping customers succeed.
What You Bring
- Proven sales experience (SaaS/ deep tech is a big plus)
- Strong communication, presentation, and negotiation skills
- A talent for building trusted client relationships
- Familiarity with CRMs and sales tools
- Bonus: understanding of AI, cloud, and observability
- Driven, positive, and ready to hit your goals
- A team-first attitude and comfort in a fast-paced environment
- If you’re excited about shaping the future of AI-driven observability, we’d love to meet you! 🚀
Interview Process
First screen call
Second presentation with demo
Meeting with the team and the middleware advisor
Final offer and negotiation
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Job Details
- Category
- Business & Finance
- Employment Type
- Full Time
- Location
- San Francisco, CA
- Posted
- Compensation
- $250,000 - $400,000 per year
About Middleware
Middleware provides a full-stack cloud observability platform that collects and organizes logs, metrics, traces, and events into a unified timeline. The system allows users to monitor applications and services, detect anomalies, and troubleshoot errors. It supports infrastructure monitoring, application performance tracking, and real user monitoring. The platform integrates AI-based tools for identifying unusual patterns and assisting with error analysis.
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