Zoom Logo

Zoom

Staff Software Engineer

Reposted 20 Days Ago
Be an Early Applicant
In-Office
San Jose, CA, USA
147K-339K Annually
Expert/Leader
In-Office
San Jose, CA, USA
147K-339K Annually
Expert/Leader
Lead the technical direction for Zoom’s AI-powered virtual agent quality and reliability. Diagnose failures across models, prompts, and architecture; optimize prompts and prompt chains; build evaluation pipelines; and architect scalable production LLM systems. Collaborate across product, model, and engineering teams, mentor engineers, influence the roadmap, and drive measurable improvements in agent accuracy, resolution rates, and customer outcomes.
The summary above was generated by AI

What you can expect

Zoom is looking for an innovative and skilled Staff Software Engineer to join our Zoom Virtual Agent (ZVA) team. The focus will be on improving the quality, reliability, and performance of Zoom's AI-powered virtual agent - an intelligent system that autonomously resolves customer inquiries before escalating to a human agent.


About the Team

The Zoom Virtual Agent team is committed to transforming customer experience through AI-driven automation. We are passionate about building intelligent, production-grade systems that handle real customer interactions at scale - reducing the need for human escalation and delivering faster, more accurate resolutions. We operate with a startup mentality: fast-moving, high-ownership, and focused on building foundational technology that will define the future of AI-powered customer service.


Responsibilities

  • Diagnosing and resolving AI agent quality issues — identifying whether failures stem from model behavior, prompt design, or system architecture, and driving the fix end-to-end.
  • Designing and optimizing system prompt architectures, few-shot examples, and prompt chains to improve agent reliability, accuracy, and resolution rates.
  • Building and maintaining evaluation pipelines to continuously measure agent quality, detect regressions, and validate improvements before production deployment.
  • Architecting scalable, maintainable systems that support high-performance AI agent operation at scale.
  • Collaborating with product managers, model teams, and engineering leadership across US and China time zones to align on quality goals and delivery timelines.
  • Setting the technical direction for agent quality on the team — mentor engineers, influence the roadmap, and drive measurable improvements in customer-facing outcomes.

What we’re looking for

  • Have an advance degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 10+ years of software engineering experience with rich system architecture knowledge & skills. With at least 3–5 years working directly on AI-powered products, LLM-based systems, or conversational AI agents in production.
  • Have track record of diagnosing and improving AI agent quality — with specific examples of identifying failure modes and driving measurable improvements.
  • Have prompt engineering skills, including system prompt design, context management, and prompt chain optimization. Having DSPy/APO/GEPA experience is a plus.
  • Have engineering scope — experience leading technical direction for a product area or team, with the ability to both design systems and execute on them.
  • Have experience deploying and operating LLM-based systems in production at scale — not just research or prototyping.
  • Have experience with ML or model training is a plus — candidates who have transitioned from MLE into SWE roles are strongly welcomed.

Salary Range or On Target Earnings:

Minimum:

$146,700.00

Maximum:

$339,300.00

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

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date:

10/30/26

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.


About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.


Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

HQ

Zoom San Jose, California, USA Office

55 Almaden Blvd, San Jose, CA, United States, 95113

Similar Jobs

40 Minutes Ago
Hybrid
Santa Clara, CA, USA
176K-308K Annually
Senior level
176K-308K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture, development, deployment, and production support for AI-native and cloud-native systems at ServiceNow. Build LLM integrations, agentic workflows, retrieval pipelines, vector systems, evaluation frameworks, and ServiceNow applications. Provide technical leadership, mentorship, customer issue resolution, security oversight, and cross-functional collaboration. Develop with Python, Java, and JavaScript while integrating cloud services, managed AI platforms, Kubernetes, CI/CD, and ServiceNow scripting.
Top Skills: Amazon BedrockAnthropicAWSAzure OpenaiCi/CdFastapiGlidescriptGoogle Cloud PlatformGoogle Vertex AiInfrastructure As CodeJavaJavaScriptKubernetesLangchainLlamaindexAzureOpenaiPgvectorPineconePythonRest ApisSemantic KernelServicenowSpring BootWeaviate
3 Hours Ago
In-Office
Senior level
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Own the architecture and technical direction of the Payments domain, including gateway integrations, payment APIs, distributed systems, data stores, and customer-facing applications. Lead multi-quarter migrations and delivery, establish security and reliability standards, mentor engineers, and partner across business and engineering teams. The role requires deep C#/.NET backend expertise, full-stack capability, payments and fintech experience, AWS and Kubernetes proficiency, database expertise, observability, and responsible use of AI development tools.
Top Skills: .NetAWSC#CdkDatadogDynamoDBKafkaKubernetesPaypalPci-DssPostgresReactStripeSvelteTerraformTypescript
8 Hours Ago
Hybrid
Santa Clara, CA, USA
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Defines technical vision and architecture for AI-native and cloud-native platforms. Leads large-scale AI/ML systems, LLM agents, retrieval pipelines, evaluation frameworks, monitoring, security, responsible AI, and ServiceNow integrations. Influences organization-wide strategy, mentors senior engineers and leaders, drives architectural standards, resolves critical incidents, supports strategic customers, and guides platform adoption. Requires exceptional technical leadership across distributed systems, cloud infrastructure, AI services, and ServiceNow development.
Top Skills: Agent DesignAi/MlAWSAzureCloud ComputingContainersDistributed SystemsEmbedding SystemsGCPGlidescriptInfrastructure-As-CodeJavaJavaScriptKubernetesLlmsManaged Ai ServicesMicroservicesPlatform ApisPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)ServicenowVector Databases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account