Product Engineer, Zoom
Forward Deployment Management
$124-271.2k
Work platform for human connection
Open for applications
Work platform for human connection
1001+ employees
Open for applications
$124-271.2k
1001+ employees
Company mission
To help people connect, collaborate, and get more work done, together.
Role
Who you are
- Have 3+ years in a technical, customer-facing role (FDE, Solutions Architect, Technical Lead) focused on AI/ML or highly technical SaaS products
- Possess proven hands-on experience designing and deploying LLM solutions using modern agentic frameworks (e.g., LangChain, LlamaIndex, internal tools)
- Have deep expertise in voice stacks and TTS integration, using prompt engineering to control prosody, tone, and pacing
- Possess proven ability to write and manage iterative prompts guiding both generative text logic and speech synthesis quality (prosody and emotion)
- Have solid software development skills in Python for prototyping, API integration, and production deployment, coupled with familiarity with modern DevOps practices
- Own exceptional ability to distill complex AI and engineering concepts into clear, actionable insights for both technical teams and C-level executives
What the job involves
- We are looking for a Product Engineer focused on customer deployments for Agentic Voice AI to lead the deployment of next generation Zoom Virtual Agents
- Leveraging LLMs and agentic frameworks to build highly automated conversational voice and chat agents for strategic customers
- The Zoom Virtual Agent team is dedicated to building state-of-the-art conversational AI solutions that resolve customer issues quickly and efficiently
- Play a critical role in developing metrics, intelligence, and evaluation systems that drive continuous improvement using advanced LLMs and data science
- Leading multi-step conversational workflow design using agentic frameworks to enable LLM agents to execute complex multi-tool tasks, including database checks and transactions
- Fine-tune the underlying Large Language Models (LLMs) to ensure optimal performance, low latency, and minimal hallucination in real-time voice conversations
- Developing and deploy custom full-stack Python/JS to connect the agent's decision-making with customer back-end systems (CRM, ERP, knowledge bases) as external "tools."
- Crafting and iterating advanced LLM prompts (e.g., chain-of-thought, few-shot) to guide conversation, maintain context, and ensure accurate tool use in live voice interactions
- Prompt-engineer TTS components (e.g., ElevenLabs, Azure, Cartesia) to fine-tune tone, pacing, emphasis, and prosody to context and brand
- Conducting A/B testing and performance monitoring on TTS output, ensuring high acoustic quality, latency requirements, and emotional appropriateness
- Acting as the embedded technical expert, working directly with customer engineering and executive teams to map complex business goals to agentic solutions
- Managing end-to-end production deployments with continuous optimization and performance tuning driven by real-world voice traffic data
- Translating field challenges, LLM failure modes, and TTS needs into actionable input for Core Engineering and Product to drive platform innovation
Application process
- End Date: December 29, 2025
Our take
Zoom reworked video conferencing when most people assumed it was a solved problem, with services from Cisco and Skype already ubiquitous in workplaces and homes. However, its videoconferencing infrastructure was simpler to use, faster and more flexible than any previous solution, and it swiftly took the world by storm.
Its success bred competition, however, and companies such as Microsoft and Google, along with numerous smaller communications firms, have begun making inroads on Zoom's formerly commanding lead. Additionally, as workplaces are mostly adopting a hybrid or flexible working strategy, some of its importance as a workplace tool is wearing off and it is recording a gradual decline in daily usage rates.
To counter these trends, Zoom is expanding its business offerings through product development and strategic acquisitions. Alongside many other large tech companies, it has battled through a difficult economic situation, but it nonetheless remains a profitable company and household name. Plus, its track record of innovation means it is still very much one to watch in the communications space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2017
$100m
SERIES D
Feb 2015
$30m
SERIES C
Total funding: $148.5m
Company benefits
- Work from home opportunities
- Retirement benefits
- My-Time-Off (MTO), an extended vacation policy
- Employee Stock Purchase Plan (ESPP) and Restricted Stock Unit (RSU) Equity Program plus Yearly stock grant for all employees
- Wellness and fitness reimbursement, wellness resources, Thrive Global wellness app, TaskHuman wellness coaching app
- Employee Assistance Program (EAP) including emotional support, financial resources and legal guidance
- Paid Parental Leave (both parents) 16 weeks paid leave (or statutory if more generous)
- Employer Matching of Charitable contributions up to $500 USD equivalent/year
- Annual Zoom Store Allowance
- Business Travel Accident Insurance
Company HQ
Downtown San Jose, San Jose, CA
Leadership
Eric Yuan
(CEO & Founder)Previously VP Engineering at Cisco and WebEx.
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