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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. To support the accelerating adoption of Five9 AQM across our customer base, the Specialized Services team is building a dedicated Prompt Engineering practice.
We are seeking three WEM AQM Prompt Engineers to join this new capability team. 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. If you have spent years building Speech Analytics categories in Verint, category sets in NICE, or Topics in Genesys, you already think and work the way this role requires.
Why Your Speech Analytics Experience Maps Directly to This Role
The Five9 AQM Prompt Engineering workflow follows the same disciplined, iterative process that experienced Speech Analytics analysts use every day:
Speech Analytics / Verint AQM Five9 AQM Prompt Engineering Define category intent & scope Define prompt intent & evaluation scope Select & tag representative call samples Select evaluation call samples Iteratively tune keyword / phrase sets Iteratively refine prompt wording & logic Test against live call traffic Test prompt outputs against real calls Validate recall & precision metrics Validate pass / fail accuracy metrics Document & hand off to QA team Document prompts for QA workflow
Key Responsibilities
Ideal Candidate Profile
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.
Key Requirements
Preferred Qualifications
Key Competencies
About Five9 WEM Specialized Services
The Specialized Services team within Five9 Professional Services delivers expert-led implementation, optimization, and advisory engagements across the Five9 WEM portfolio. Our AQM Prompt Engineering practice is a newly established center of excellence, designed to ensure that customers realize the full potential of Five9''s AI-powered
quality management capabilities. These roles offer the opportunity to be founding members of a high-impact team at the leading edge of AI adoption in the contact center industry.
Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office.
As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. 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. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process.
Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans.
Our total reward package also includes:
All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties.
The US base salary range for this role is below.
$70,400-$195,700 USD
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
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Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
| Location | CA (Remote) |
| Salary | $70,400–$195,700 Per Year |