Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
What you can expect
About the Team
Responsibilities
- Designing and deploying production-ready AI agents during proof-of-concept engagements, integrating with customer CRMs, telephony systems, and knowledge bases using Python and TypeScript.
- Engineering voice experiences by tuning speech synthesis, turn-taking, and barge-in across providers to match customer requirements and call profiles.
- Building evaluation frameworks with scripted tasks and adversarial scenarios that measure resolution rate, containment, and customer satisfaction as deployment gates.
- Capturing product gaps and contributing structured feedback to Engineering, generalising field solutions into reusable platform capabilities.
- Transitioning successful pilots to Professional Services or partners with clear documentation, playbooks, and recommendations for ongoing operation.
What we’re looking for
- Demonstrate 4+ years in customer-facing technical roles shipping complex SaaS or AI/ML solutions (Solutions Engineering, Technical Account Management, or similar).
- Deploy LLM-based agents with tool use, multi-step orchestration, and guardrails into production customer environments.
- Apply voice stack expertise across ASR, TTS, turn-taking, and barge-in, including tuning at least one major provider (ElevenLabs, Azure, Cartesia , or similar).
- Build production integrations in Python with working knowledge of TypeScript or Go, connecting enterprise systems such as CRMs and telephony platforms.
- Write tests, log failures, and iterate against measurable targets to validate agent performance before go-live.
- Communicate technical concepts to business and engineering stakeholders with clarity and confidence.
- Bring contact centre domain knowledge ( Genesys , Five9, NICE, Zoom Contact Center) or experience with AI agent platforms (Decagon, Sierra, or similar).
- Contribute to voice agent benchmarks, open-source projects, or have experience deploying in regulated industries (healthcare, financial services, telecom).
Salary Range or On Target Earnings:
Minimum:
$124,000.00Maximum:
$271,200.00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Information about Zoom’s benefits is on our careers page here .
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Good news – this job posting is more like a marathon, not a sprint, so it could be available for a while! We're on the lookout for awesome folks to join Zoom in various similar roles. No need to rush, just hit us up whenever you're ready to apply. We're always keeping an eye out for amazing talent!
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