What you can expect

We are seeking a Senior AI Security Assurance Engineer to lead the offensive verification of our AI systems and pipelines. This role will serve as the dedicated AI security lead within the Security Assurance organization, reporting directly to the Head of Security Assurance. While not a traditional covert red team position, the role requires similar deep adversarial thinking and the ability to evaluate AI systems with the mindset of a determined skeptic.

Your mission: verify and innovate. You’ll be responsible for independently evaluating, challenging, and validating the security, safety, and integrity of all AI initiatives across the company, including AI embedded in products, internal AI use cases, training pipelines, model lifecycle management, and supporting infrastructure. This is not a compliance role, it’s a hands-on, experimental one.

At Zoom, Security Assurance encompasses Offensive Security (product, infrastructure, hardware, red team), PSIRT, Product Vulnerability Management, and Bug Bounty. This role will also operate across all of these domains as the organization’s primary authority on AI-related risk and capabilities/implementation. You will be the AI expert in efforts to develop scalable, intelligent systems that automate and amplify Security Assurance at Zoom. You’ll both break and build, challenging assumptions in our AI infrastructure, features, and tools while creating tools to continuously expose and mitigate critical risk.

About the Team

The Security Assurance team at Zoom is an adversarial, high-leverage group focused on finding and reducing the company’s most critical security risks. We work from an attacker’s mindset and operate well beyond checklists, audits, and standard SDLC gates, targeting the vulnerabilities and systemic failures that escape existing controls. The team covers offensive security (vulnerability research, red teaming, hardware security), PSIRT, product vulnerability management, bug bounty, and emerging AI security. We apply deep technical rigor and clear risk judgment to drive concrete product and platform changes. We value evidence over assumptions and curiosity over comfort. This team is for truth-seekers who want their work to measurably reduce risk at global scale.

Responsibilities

• Leading adversarial verification of AI systems: Design and execute deep, unconstrained assessments of AI models, pipelines, and agents, testing guardrails, safety layers, and data boundaries through offensive experimentation.

• Uncovering gaps between promise and practice: Identify where AI security, safety, or privacy controls fail under pressure. Surface the mismatch between claims and reality.

• Assessing the full AI lifecycle: Evaluate data, training, and deployment pipelines for risks like model poisoning, prompt injection, or fine-tuning abuse.

• Developing AI-powered security discovery systems: Research, prototype, and operationalize machine learning–driven approaches to automatically detect, predict, and prioritize vulnerabilities and behavioral deviations in Zoom’s products and platform.

• Automating and scaling offensive operations: Build AI-based frameworks to scale red teaming, vulnerability discovery, and bug bounty triage. Use LLMs, anomaly detection, and pattern learning to enhance automation and coverage.

• Adapting cutting-edge research: Integrate the latest findings from offensive security research, autonomous agents, and AI-driven vulnerability analysis into Zoom’s security assurance programs.

• Shaping AI security methodologies: Build frameworks for continuous AI-driven adversarial testing, automated validation, and system monitoring that scale across teams and products.

• Translating findings into impact: Communicate verified risks and systemic weaknesses clearly to engineering and leadership, pairing technical insight with strategic direction.

• Staying ahead of the curve: Track evolving AI architectures, attack vectors, and defenses, turning new research into offensive and defensive capability.

What we’re looking for

• Have deep understanding of generative AI systems (transformers, diffusion models, multi-agent frameworks) and their security failure modes.

• Have experience building or adapting novel AI/ML methods to real-world security problems.

• Demonstrate proficiency in Python, ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain), and modern cloud/data environments.

• Be skilled at uncovering the true behavior and limitations of AI and platform systems through experimentation, code review, and automated adversarial techniques.

• Be skilled at setting direction, advising peers, and communicating high-impact risks to executives.

• Be unafraid to challenge assumptions or expose uncomfortable truths in service of user and system safety.

• Demonstrate experience in red teaming, exploit development, or vulnerability research.

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

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!

03/30/26

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.

#LI-Remote

What you can expect

This position connects AI Research and Production Engineering. Researchers define metrics and policies, while you ensure system scalability, architecture, and reliability. You will write code and mentor engineers to develop advanced safety infrastructure. Lead quality measurement advancements for AI models and systems across products. Design evaluation frameworks emphasizing rigor, scalability, and reliability. Innovate in statistical analysis, machine learning, and experimental methods to deliver actionable insights. Your work will influence product strategies and enhance AI’s large-scale impact.

About the Team

Trust is a crucial aspect of the Generative AI era. Our goal is to make AI models and products beneficial, safe, and truthful. We develop essential systems for AI safety and reliability, addressing risks like inaccuracies, prejudice, harmful content, and security vulnerabilities on a large scale.

Responsibilities

• Developing an Assessment Methodology and Strategy: Establishing a comprehensive approach to evaluate AI quality, safety, and alignment across various product modalities. Designing an Evaluation Framework: Creating a strategy to define key performance metrics and safety parameters for AI models in diverse applications. Identifying Systemic Risks: Proactively detecting potential failure modes like hallucinations, bias, and vulnerabilities in applications of language models. Designing Risk Evaluation Protocols: Establishing systematic methods to measure and address identified risks in AI applications. Providing Strategic Technical Guidance: Conducting analyses to determine whether to develop or procure evaluation tools for optimal performance. Integrating Advanced Evaluation Techniques: Staying updated with cutting-edge methods to ensure effective and accurate AI model assessments.
   

• Creating a scalable evaluation infrastructure involves designing and managing a modular system supporting offline benchmarking and online monitoring. Ensuring compatibility across various AI product lines is essential. Integrating automated quality gates into the CI/CD pipeline guarantees that all model deployments comply with predefined quality and safety standards before production. Building a framework for extensive A/B testing and online experimentation validates the practical effects of model adjustments and safety mechanisms.
   

• Ensuring engineering excellence and technical guidance, this role involves serving as the primary authority for AI evaluation and technical decision-making. Establishing clear technical roadmaps, the individual translates product requirements into actionable plans and leads the team through intricate system designs. Creating organizational standards, this role oversees AI quality by promoting the use of RFCs, design reviews, and best practices for data labeling and model versioning. Guiding talent development, the position focuses on mentoring team members while encouraging continuous learning and thorough peer evaluations.

What we’re looking for

• Possess an academic and professional background in computer science or machine learning, with extensive experience designing large-scale AI or distributed systems.

• Have Engineering Excellence: Expert-level software development skills with a focus on system architecture, code maintainability, and building robust production services.

• Demonstrate AI/ML Domain Depth: Deep understanding of the LLM lifecycle and the unique challenges of evaluating non-deterministic systems (Quality, Safety, and Alignment).

• Need to have experience scientific Rigor: Solid foundation in statistical analysis and experimental design (A/B testing) to validate model interventions and product quality.

• Demonstrate AI Infrastructure: Deep experience with PyTorch and the Hugging Face ecosystem (Transformers, Datasets).

• Have inference & Serving: Proficiency in high-throughput inference engines (e.g., vLLM, SGLang, or TensorRT-LLM).

• Need t have core Languages: Expert-level Python; proficiency in high-performance languages such as Go, C++, or Java.

• Demonstrate expertise in CI/CD patterns, automated testing frameworks, and large-scale data processing pipelines for engineering systems.

• Leverage knowledge of cloud-native infrastructure and distributed system monitoring to support production AI services effectively.

Preferred Qualifications

• Technical Leadership: Proven ability to define long-term technical roadmaps, drive organizational alignment on engineering standards, and mentor senior talent.

• Advanced Applied ML: Experience in high-performance model optimization and the deployment of sophisticated evaluation methodologies in production.

• AI Quality & Excellence: Deep domain expertise in AI alignment and reliability, with a focus on benchmarking and elevating model performance across diverse applications.

Salary Range or On Target Earnings:

Minimum:

$177,100.00

Maximum:

$387,500.00

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!

04/06/26

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.

What you can expect

We are looking for a Senior Product Manager, Conversational AI Evaluation, Metrics & Quality to lead the strategy, roadmap, and execution for optimizing Zoom Virtual Agent performance.
This cross-functional role partners with Product, Data Science, Engineering, and Conversational Design to translate data into features that elevate contact center quality and customer experience.
 

About the Team

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.
 

Responsibilities

• Defining and delivering the complete analytics experience for zoom virtual agent which includes core operational metrics , end-end journey analytics and AI driven metrics.
• Leading the development of a conversational AI evaluation engine to programmatically assess quality, accuracy, tone, and overall effectiveness of Virtual Agent interactions at scale.
• Partnering with engineering and AI/ML teams to define schema for engagement analytics, APIs and AI-generated metadata.
• Analyzing large-scale agent performance data, conversational logs, and customer feedback to identify high-impact product improvements in close collaboration with engineering and AI/ML teams.
• Defining a 12–18 month roadmap for data infrastructure, reporting, analytics, and evaluation systems enabling teams and customers to optimize Virtual Agent deployments.
• Partnering with Product Marketing, Sales, and Customer Success to communicate the value and ROI of performance reporting and optimization capabilities to contact center customers.
• Persisting benchmark Virtual Agent performance against industry standards and competitors using data and LLM-based evaluations to identify feature gaps and growth opportunities.

What we’re looking for

• Have B.S. or M.S. in Computer Science, Engineering, Statistics, or a related technical field.
• Have 5+ years of Product Management experience, with at least 3 years focused on data, analytics, machine learning, or intelligence platforms.
• Possess proven experience working on conversational AI products, Virtual Agents, chatbots, or other enterprise contact center technologies.
• Hold deep familiarity with core contact center metrics (e.g., AHT, FCR, CSAT, Containment, Deflection).
• Have solid understanding of statistical analysis, data visualization, and the ability to define metrics that meaningfully drive product decisions.
• Be a solid technical acumen, capable of articulating requirements for data pipelines, reporting APIs, and machine learning/LLM models.

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:

02/09/26

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.

#LI-Remote