What you can expect

Collaborate cross-functionally to deploy production AI agents for strategic customers within 90 days, accelerating revenue and directly shaping our scalable product roadmap. Partner across Sales, Product, and Engineering to prove technical value, working hands-on with voice AI, integrations, and real customer data.

Turn field insights into platform capabilities that scale, ensuring every deployment makes the next one faster. Your work directly accelerates revenue and shapes the product roadmap.

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:
$124,000.00

Maximum:
$271,200.00

In 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.

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.

Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

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