We have curated a list of Zoom Available Careers from Data Analyst Jobs , Tech Jobs, Engineering Jobs, Legal Jobs, Finance and Administrative Jobs, AI Jobs, Marketing Jobs to Sales Jobs in Various Locations. Whether you are in search for Remote Jobs, Hybrid Jobs or Full Time Jobs there is something for everyone.
1.Contact Center Solution Engineer
Location: Remote, United Kingdom
Job Type: Remote
Department: Sales
Application Link: https://careers.zoom.us/jobs/contact-center-solution-engineer-remote-united-kingdom
Responsibilities
- Being the customer’s trusted advisor throughout the pre-sales lifecycle, translating technical and business requirements into solutions in a consultative manner.
- Developing trust with customer executives, leadership, and other stakeholders to ensure business outcome success.
- Acting as a customer-focused problem solver, understanding business objectives and creating innovative solutions to enable success.
- Partnering with account teams to execute pre-sales activities, including opportunity qualification and discovery, demonstrations, product workshops, and proof of concepts.
- Engaging with Zoom Customer Experience Teams to drive customer feedback, expand product innovation, and strengthen market leadership.
- Understanding industry regulatory requirements, customer security needs, and other compliance factors, translating them into actionable feature requests for Product Management
Qualifications
- 5+ years experience and or proven industry experience in CCaaS and/or adjacent industries such as Conversational AI, Workforce Management, and Quality Management.
- Be proficient in contact center technologies such as IVR, ACD, CTI, QM, WFM, and virtual agents
- Demonstrate the ability to sell to a business buyer, with an understanding of the techniques required to do so.
- Have good business and technical acumen with demonstrated experience in Solutions Engineering.
- Have experience integrating with CRM systems (Salesforce, Zendesk, etc.) and other third-party applications.
- Have a good understanding of the Contact Centre market and trends.
- Be able to work and communicate effectively with internal stakeholders.
- Have a good capability to work in team-oriented environments.
2. Senior Software Engineer, Zoom Contact Center
Location: San Jose, California, United States, Seattle, Washington, United States
Job Type: Full Time
Department: Engineering
Salary Range or On Target Earnings: Minimum:$124 000,00, Maximum:$271 200,00
Position Close Date:04/24/26
Application Link:https://careers.zoom.us/jobs/senior-software-engineer-zoom-contact-center-san-jose-california-united-states-seattle-washington
Responsibilities
- Architecting and implementing scalable backend services for the dialer engine using Java and Spring Boot, focusing on high-concurrency task scheduling and real-time call control
- Developing and refining pacing algorithms (Predictive, Progressive, Power) to maximize agent utilization while minimizing call abandonment rates
- Building integrations with MySQL, DynamoDB, Redis, and Elasticsearch to manage large-scale lead lists and campaign data across distributed systems
- Implementing compliance features including DNC management, time-zone-aware dialing logic, and regulatory safeguards for automated outreach
- Driving system reliability through monitoring, logging, alerting, on-call support, and root cause analysis for production incidents under peak loads
Qualifications
- Bring 5+ years of software engineering experience building large-scale distributed systems with proven production impact
- Demonstrate advanced programming skills in Java and Spring Boot framework for backend service development
- Design high-concurrency architectures using multithreading, distributed locking mechanisms, and state management patterns
- Build and optimize systems using relational and NoSQL databases (MySQL, DynamoDB, Redis, MongoDB)
- Create high-throughput RESTful APIs and microservices with CI/CD pipelines, containerization (Docker/Kubernetes), and cloud-native services (AWS)
- Communicate clearly and collaborate effectively with cross-functional teams to deliver practical solutions
- Apply hands-on experience with outbound dialing systems (Predictive, Power, Preview) or telephony protocols (SIP, RTP, WebRTC)
- Leverage knowledge of CPaaS platforms (FreeSWITCH, Asterisk, Twilio), telecom regulations (TCPA, STIR/SHAKEN, GDPR), or observability stacks (Prometheus, Grafana, ELK)
3. Social Media Specialist
Location: Remote, United States
Job Type: Remote, Full Time
Department: Marketing
Salary Range or On Target Earnings: Minimum:$64,300.00, Maximum:$128,600.00
Position Close Date:04/13/26
Application Link:https://careers.zoom.us/jobs/social-media-specialist-remote-united-states
Responsibilities
- Managing content calendars and scheduling posts across all platforms while coordinating with team members to maintain consistent publishing frequency
- Creating engaging written and visual content that aligns with brand voice using design and video editing tools
- Monitoring social channels for brand mentions and emerging trends, engaging audiences in a timely and authentic manner
- Tracking performance metrics and preparing monthly reports that inform content strategy and demonstrate business impact
- Collaborating with marketing team members on campaigns and identifying cultural moments for content opportunities
Qualifications
- Demonstrate 0-2 years of professional social media experience through internships, student organizations, or personal projects
- Apply knowledge of major social media platforms, their best practices, and optimal posting strategies
- Create visual content using design tools such as Canva, Figma, or similar platforms
- Edit photo and video content using tools like Capcut or similar video editing software
- Write clear, engaging copy with strong attention to detail and brand voice consistency
- Use social media management tools, with Sprout Social experience preferred
- Leverage AI creation tools and write effective prompts for content generation
- Hold a Bachelor’s degree in Marketing, Communications, Public Relations, Journalism, or related field,or equivalent practical experience
4.Employee Relations Specialist, EMEA – Zoom
Location: Cork, County Cork, Ireland, Dublin, County Dublin, Ireland
Job Type: Full Time
Department: People Experience
Application Link: https://careers.zoom.us/jobs/employee-relations-specialist-emea-zoom-dublin-county-dublin-ireland-cork-county-cork
Responsibilities
- Managing high-risk employee relations casework including investigations, disciplinary actions, and conflict resolution
- Ensuring compliance with employment laws and regulations across multiple EMEA countries
- Partnering with managers and PX Business Partners on performance management cases and underperformance issues
- Conducting objective investigations and documenting findings with procedural rigor
- Developing and rolling out HR policies that support our performance-driven culture
- Monitoring ER metrics and providing risk-mitigation insights through data analysis and reporting
- Coaching leaders on constructive feedback and consistent application of performance standards
- Supporting organizational change initiatives with sensitivity and compliance focus
Qualifications
- Demonstrate in-depth knowledge of EMEA employment laws and regulations
- Apply exceptional communication skills when engaging with managers and employees on sensitive matters
- Conduct thorough workplace investigations with objectivity and attention to detail
- Interpret and implement HR policies consistently across diverse situations
- Evaluate ER data to identify trends and provide actionable insights
- Manage multiple complex cases simultaneously while maintaining quality and compliance
- Partner effectively with Legal teams on high-risk employment matters
- Build trust through empathetic and fair case resolution approaches
5. Data Scientist Marketing
Location: San Jose, California, United States
Job Type: Full Time
Department: Information Technology
Salary Range or On Target Earnings: Minimum:$124,000.00, Maximum:$271,200.00
Position Close Date:04/23/26
Application Link :https://careers.zoom.us/jobs/data-scientist-marketing-san-jose-california-united-states
Responsibilities
- Conducting advanced inferential statistical analysis to measure marketing campaign effectiveness and attribution
- Building and deploy machine learning models to predict customer behavior, churn, and lifetime value
- Leading end-to-end marketing analytics projects that directly impact revenue growth and customer acquisition
- Designing and implement sophisticated multi-touching attribution models and marketing mix optimization
- Creating executive-level dashboards and presentations in Tableau that communicate complex insights clearly
- Partnering with Marketing, Sales, and Product teams to identify growth opportunities through data- driven insights
- Providing strategic guidance on marketing analytics best practices, experimentation design, and measurement frameworks
Qualifications
- Have Bachelor’s, Master’s or PhD in Statistics, Data Science, Computer Science, Economics, or related quantitative field.
- Have 7-10 years of experience in marketing analytics.
- Possess expert-level proficiency in inferential statistics, hypothesis testing, and causal inference methods
- Have 5+ years of advanced SQL experience with complex query optimization and data modeling & Python programming for data science (pandas, scikit-learn, statsmodels, PyTorch/TensorFlow)
- Own demonstrated experience building and deploying machine learning models in production environments
- Have experience with marketing automation platforms (Marketo, HubSpot, Salesforce Marketing Cloud)
- Possess familiarity with A/B testing platforms, experimentation frameworks and customer data platforms (CDPs)
- Have knowledge of digital marketing channels (paid search, social, display, email) and their measurement
6.Web DevOps Engineer
Location: Remote, India
Job Type: Remote, Full Time
Department: Engineering
Application Link :https://careers.zoom.us/jobs/web-devops-engineer-india
Qualifications
- Have 4+ years of relevant experience
Demonstrate knowledge of various Linux distributions, like RedHat and Ubuntu - Show experience with edge services such as Nginx and Cloudflare CDN
- Have proficiency with continuous integration and deployment tools like Jenkins and Argo CD
- Have hands-on experience with configuration management and infrastructure-as-code tools such as Ansible and Terraform
- Show familiarity with message queuing systems, such as Kafka
- Have hands on experience with cloud technologies, preferably AWS
- Demonstrate effective troubleshooting skills in production environments
- Show passion about automating processes to reduce deployment time and enhance efficiency
- Have experience with microservices architecture and orchestration tools, including Kubernetes (K8s) and ECS
7.Counsel, Litigation (eDiscovery)
Location: San Jose, California, United States, Denver, Colorado, United States, Seattle, Washington, United States
Job Type: This is a hybrid position based out of Zoom US offices in Denver CO, San Jose CA or Seattle WA.
Department: Legal
Salary Range or On Target Earnings: Minimum:$98,900.00, Maximum:$228,700.00
Position Close Date:04/20/26
Application Link :https://careers.zoom.us/jobs/counsel-litigation-ediscovery-san-jose-california-united-states-denver-colorado-seattle-washington
Responsibilities
- Triaging and coordinating requests sent to the litigation team.
- Assisting with fact investigation for pre-litigation, litigation and regulatory matters and coordinate with cross-functional teams to operationalize resolutions.
- Leading responses to subpoenas and similar requests, manage and negotiate resolutions to disputes with customers, vendors and other third parties, escalating significant issues as appropriate.
- Drafting and reviewing pleadings, discovery responses, settlement agreements, and correspondence for routine matters.
- Managing case files, including the organization, maintenance, and tracking of key deadlines, court filings, and correspondence.
- Identifying areas for improvement in various litigation processes and leverage generative AI tools to develop, implement, and streamline methodologies.
- Leading Discovery efforts, including document collection, review, and production in collaboration with internal IT teams and external vendors.
- Leading the litigation hold and retention process, including ensuring timely implementation, monitoring, and release.
- Organizing and maintaining databases of discovery documents and case materials, ensuring accessibility for internal and external teams.
- Leading trademark, copyright and patent portfolio management, including monitoring filing deadlines, coordinating with outside counsel, and maintaining accurate records of IP assets across multiple jurisdictions.
- Assisting with IP litigation with a focus on the technology and patent specific aspects of IP litigation.
- Liaising with internal departments, including finance, HR, and IT, to gather information and provide support on litigation and regulatory matters.
- Coordinating with external counsel to manage budgets, track expenses, and ensure alignment with internal processes.
- Assisting with special legal projects, including internal audits, risk assessments, or policy updates.
- Maintaining and updating litigation management systems, ensuring accurate tracking of all active matters.
- Reviewing and directing legal mail.
Qualifications
- JD from an accredited law school and active membership in at least one US state bar.
- 3-5 years in a law firm, in house, or government attorney role.
- Experience with complex eDiscovery issues and processes.
- Exposure and understanding of basic IP law concepts; experience with IPRs or other similar proceedings is nice to have.
- Eagerness to learn and get into the technical details.
- Exceptional organizational skills and attention to detail.
- Excellent work ethic and ability to multi-task, prioritize, and follow-through on numerous projects in an evolving, dynamic environment.
- Practical, strategic, and results-oriented approach to problem-solving.
- Experience using generative AI tools.
8.Technical Support Engineer
Location: Denver, Colorado, United States
Job Type: Full Time
Department: Technical Support Engineer
Salary Range or On Target Earnings: Minimum:$65,400.00, Maximum:$158,700.00
Position Close Date:04/15/26
Application Link :https://careers.zoom.us/jobs/technical-support-engineer-denver-colorado-united-states-92713c76-9bff-4c27-9e32-f405dd7d51e5
Responsibilities
- Taking ownership and resolving inbound support cases and phone calls within our Tier 2 Support technology domains.
- Contributing to organizational success by meeting individual goals and metrics.
- Communicating promptly and consistently with customers, prioritizing urgent requests, including
- timely follow-ups with customers, team members, and engineers.
- Maintaining proficiency with Zoom products, features, troubleshooting tools, and best practices.
- Being flexible and available for after-hours or on-call support when needed.
- Creating documentation and training materials for internal and external support.
Qualifications
- Have a proven track record (5 – 7 years) in a Technical Support role.
- Have extensive prior video conferencing experience with Zoom, Teams, or Slack, or similar technologies.
- Have previous experience with integrating and supporting calendar services, like Microsoft Office 365 or Google Calendar.
- Be familiar with supporting externally integrated applications, such as Salesforce, Hubspot, or Marketo.
- Be a technical resource
9.Order-to-Cash Strategy & Operations, Operations Lead
Location: Remote, United States
Job Type: Remote, Full Time
Department: Finance & Accounting
Salary Range or On Target Earnings: Minimum:$97,600.00, Maximum:$225,700.00
Position Close Date:04/20/26
Visa Sponsorship: Immigration sponsorship is not available for this position
Application Link :https://careers.zoom.us/jobs/order-to-cash-strategy-operations-operations-lead-remote-united-states
Responsibilities
- Owning and executing end-to-end, cross-functional initiatives across Order-to-Cash that increase productivity and scale the business, from initial root-cause analysis through to implementation. This includes process-mapping, requirement gathering, drafting proposals and recommendations, surfacing roadblocks, etc.
- Navigating cross-functional complexity to secure buy-in for new policies, processes, and system improvements.
- Translating data trends into business/financial insights, and into actionable operational triggers.
- Partnering with the Insights Lead to identify and communicate the “operational why” behind the “data what”.
- Performing basic data analysis independently to support owned operational initiatives (identify opportunity, measure impact, success, etc.).
- Partnering with the Sr. Manager and OTC Leads to establish the long-term OTC roadmap based on identified operational bottlenecks.
Qualifications
- 8+ years of progressive experience in Finance Operations, Revenue Operations, Sales Operations, Business Operations, or Management Consulting, within a SaaS environment.
- Bachelor’s degree or higher in Finance or a related discipline.
- Proven experience taking a project from a conceptual problem statement to a fully deployed operational process.
- Experience working in cross-functional environments and building consensus across diverse stakeholder groups.
- Experience “managing by influence” across teams you do not directly control.
- Ability to probe deeply with stakeholders to uncover the root cause of operational pain points rather than just treating symptoms.
- Ability to take a tangled process and distill it into a clean, scalable workflow.
- Comfortable performing basic data analysis to identify and size business risk and process opportunity.
- Background in SaaS, technology, and high-growth companies.
- Excellent grasp of traditional financial terms (revenue recognition, billing logic, and aging).
- SQL experience is nice to have.
10. Machine Learning Engineer, Responsible AI
Location: Seattle, Washington, United States
Job Type: Full Time
Department: AI Jobs, Engineering
Salary Range or On Target Earnings: Minimum:$177,100.00, Maximum:$387,500.00
Position Close Date:04/17/26
Visa Sponsorship: Immigration sponsorship is not available for this position
Application Link :https://careers.zoom.us/jobs/machine-learning-engineer-responsible-ai-seattle-washington-united-states
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.
Qualifications
- 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.
- 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.
