Five9

Five9

WEM AQM Prompt Engineer

United States (Remote)

Sponsorship not specified$70k-$196kDetected 20 hours ago
LLMsProduct ManagementResearchCommunicationMentoring

About the role

  • Join us in bringing joy to customer experience.
  • We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
  • Five9 is one of the world's leading cloud contact center platforms, and our AI-powered Automated Quality Management (AQM) product is transforming how enterprises evaluate and improve agent performance.

Responsibilities

  • Design, author, and iteratively optimize LLM evaluation prompts within Five9 AQM, translating quality management frameworks into accurate, testable prompt logic.
  • Select and analyses representative call samples to validate prompt performance; apply precision and recall thinking to measure and improve prompt accuracy.
  • Maintain a structured prompt library - versioning prompts, documenting changes, and managing prompt lifecycle from initial design through to production handover.
  • Collaborate with QA and Implementation teams to integrate prompt outputs into broader QM workflow design, including scoring forms and reporting.
  • The strongest candidates will come from a Speech Analytics background with hands-on experience designing and optimizing categories, category sets, or topic models in platforms such as Verint, NICE CX one, or Genesys - and who are ready to apply that same analytical rigor to LLM prompt design.
  • Minimum 3 years' hands-on experience as a Speech Analytics Analyst, QM Analyst, or WEM Application Consultant with deep involvement in category/topic design and optimization in Verint (Categories/CategorySets), NICE (Category Sets), Genesys (Topics), or equivalent platforms.
  • Demonstrable prompt engineering skills - either via formal qualification or a verifiable portfolio of prompt design work (production prompts, evaluation outputs, or documented iteration cycles).

Requirements

  • These roles sit at the intersection of contact center domain expertise and applied AI - designing, testing, and optimizing the LLM prompts that power Five9 AQM's automated evaluation criteria.

Nice to have

  • Formal prompt engineering certification or coursework (e.g., DeepLearning.AI Prompt Engineering for Developers, Anthropic Prompt Engineering certification, OpenAI Prompt Engineering course, or equivalent).
  • Hands-on experience with one or more major LLM platforms (OpenAI, Anthropic Claude, Google Gemini, or similar) including direct API or playground usage.
  • Prior exposure to Five9 AQM or equivalent AI-native QM solutions.
  • Experience with NICE Enlighten, Qualtrics, Medallia, or other AI-driven analytics platforms.
  • Familiarity with JSON, basic scripting, or no-code automation tools - useful for prompt testing workflows.
  • Key Competencies
  • Linguistic Precision - writes clear, unambiguous instructions
  • understands how wording choices affect model behavior.

Compensation

  • Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location.

Benefits

  • Health, dental, and vision coverage, beginning on the first day of employment.
  • Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost.
  • We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching.
  • Generous employee stock purchase plan.
  • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave.

Company info

  • Partner with customers and internal delivery consultants during AQM implementation engagements to define evaluation scope, intent, and pass/fail criteria.
  • Support pre-sales activities by demonstrating Five9 AQM prompt capabilities and articulating the value of AI-driven quality evaluation to prospective customers.

This listing is sourced directly from Five9's careers page and normalized into a canonical job model.