Solutions Engineer, AI Agent (Strategic)

cresta

United States

Remote

USD 220,000 - 275,000

Full time

14 days+

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Benefits offered by this job

Remote-work setup budget
Wellness stipend
Commuter benefits

Job summary

cresta is seeking a senior specialist for AI agent solutions to drive strategic enterprise sales. You will join customer conversations early, partnering with core solutions engineers to shape the technical story, clarify use cases, and demonstrate how agent-based solutions address business needs.

You will connect presales learning with deployment and product teams. Responsibilities include guiding technical narratives, running discovery workshops, evaluating APIs, delivering complex demos, and

Qualifications

  • Five+ years in customer-facing technical work, including substantial presales experience with large enterprises.
  • Hands-on experience designing, building, or selling AI agents or agentic AI systems.
  • Familiarity with agent frameworks, orchestration approaches, and language-model-based architectures.
  • Practical knowledge of APIs, integration patterns, and enterprise systems.
  • Experience with conversational AI, contact center platforms, or voice & chat automation.

Responsibilities

  • Guide the AI agent technical narrative alongside solutions engineers from early qualification through evaluation.
  • Facilitate discovery workshops translating customer challenges into use cases, scope, and path to value.
  • Assess API feasibility and integration needs; lead technical discovery.
  • Prepare and deliver complex demonstrations for high-priority opportunities.
  • Build ROI models and explain business value to economic buyers.
  • Coordinate handoffs with deployment teams and share field learnings with product/engineering.
  • Create enablement materials, playbooks, and coaching to grow team capability.

Skills

Presales experience
Enterprise sales
Technical storytelling
Workshop facilitation
ROI modeling

Tools

Salesforce

Job description

Role overview

Serve as the specialist for AI agent solutions in strategic enterprise sales opportunities. You'll join customer conversations early, partnering with core solutions engineers to shape the technical story, clarify use cases and integrations, and demonstrate how an agent-based solution could address business needs. The role also connects presales learning with deployment teams and product development.

Responsibilities
  • Guide the AI agent technical narrative alongside core solutions engineers, from early qualification through evaluation.
  • Facilitate discovery workshops that translate customer challenges into use cases, implementation scope, and a path to value.
  • Assess API feasibility and integration needs, and lead detailed technical discovery.
  • Prepare and deliver complex demonstrations for high-priority opportunities.
  • Work with sales and solutions teams to build ROI models and explain business value to economic buyers.
  • Coordinate handoffs with deployment teams, bring field learnings into future sales conversations, and share recurring customer needs with product and engineering.
  • Build team capability through enablement materials, playbooks, and coaching.
Requirements
  • Five or more years in customer-facing technical work, including substantial presales experience with large enterprises.
  • Hands-on experience designing, building, or selling AI agents or agentic AI systems.
  • Familiarity with agent frameworks, orchestration approaches, and language-model-based architectures.
  • Practical knowledge of APIs, integration patterns, and enterprise systems.
  • Experience with conversational AI, contact center platforms, or voice and chat automation.
  • Ability to lead technical workshops and presentations for both engineering teams and senior business stakeholders; strong preparation, organization, and problem-solving skills.
Nice to have
  • Python experience for prototyping, scripting, or tailoring demos.
  • Familiarity with Salesforce or enterprise contact center technologies, two or more years in AI sales engineering, or experience at a high-growth startup.
Benefits and work setup

The listed package includes medical, dental, and vision coverage; flexible paid time off; paid parental leave; retirement savings; a remote-work setup budget; and monthly wellness and communication stipends. Onsite employees may receive meals and commuter benefits. Compensation is location-based and includes variable target pay and equity; the stated OTE range is $220,000-$275,000.

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