Sales Engineer
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Sales Engineer
130,000–140,000 / Year
Location
United States
Experience
Mid
Posted
Jul 30, 2026
Apply by
August 29, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
Location: Remote (United States)
Work Model: Remote
Industry: AI infrastructure / developer tools
Compensation: $130K-$140K base, plus equity
### About the Company
Our partner builds testing and observability infrastructure for conversational AI agents. The company is past $2M in revenue and growing fast, has onboarded more than 150 conversational-AI companies, and works with several Fortune 500 enterprises. The team is about fifteen people, and this role reports directly to the founder.
### The Opportunity
This is a pre-sales forward-deployed engineering seat. You will run sandbox demos, stand up integrations, and prove value quickly for a high volume of prospective customers.
The work is engineering-first and client-facing at the same time. You will build the demo, run the conversation, and translate what a technical buyer cares about into something they can see working.
### Responsibilities
- Build and run sandbox demos and integrations for prospective customers.
- Own the technical thread in pre-sales conversations from first call through evaluation.
- Turn customer requirements into working proofs of value quickly, at volume.
- Present results and articulate product value to technical and business stakeholders.
- Feed recurring customer needs back to product and engineering.
### Requirements
- Software engineering background, ideally at a startup where you shipped end to end.
- Strong presentation and communication skills; comfortable demoing live to customers.
- Fluent with AI tooling and able to build fast with it.
- Comfortable with high-volume, short-cycle customer work.
- Based in San Francisco and able to work onsite.
Key Responsibilities
- Build and run sandbox demos and integrations for prospective customers.
- Own the technical thread in pre-sales conversations from first call through evaluation.
- Turn customer requirements into working proofs of value quickly.
- Present results and articulate product value to technical and business stakeholders.
- Feed recurring customer needs back to product and engineering.
Skills Required
Software EngineeringAI ToolingDemo DevelopmentIntegration BuildingPresentation SkillsCommunication SkillsCustomer Facing
Benefits
- Equity
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