Sales Engineer

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Sales Engineer

talentpluto

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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