Zendesk

Senior Product Manager to own the AI agent infrastructure for the Forethought platform. This includes the reasoning engine, authoring tools, self-improvement mechanisms, and multi-channel infrastructure. The role requires guiding roadmap development, defining the authoring and configuration experience, setting quality standards for AI agent interactions, designing for multiple personas, and leading hypothesis-driven product development. Requires 5+ years in B2B SaaS PM with experience shipping AI/ML products, a deep understanding of language models and agentic architectures, and a track record of defining quantitative success metrics for AI systems.

This role supports the Product Development Operations team, focusing on strengthening operational rigor in a SaaS environment. It involves improving planning, execution, and ways of working, with a strong emphasis on building scalable, AI-first operational mechanisms to enhance team efficiency and delivery. The role will leverage AI to automate repetitive tasks, improve decision support, and increase the speed and quality of operational execution, including concepts like multi-agent orchestration.

The Senior Product Designer will lead innovative initiatives and collaborate with a cross-functional team to deliver a unique customer co-creation experience, accelerating the customer service product experience. This role involves user research, defining strategy, and crafting end-to-end product journeys for AI-driven CS products.

This role leads business process analysis and transformation efforts, focusing on integrating AI-driven automation and insights to improve operational excellence and customer experience. The Lead Business Process Analyst will identify use cases for LLMs and Generative AI, develop AI prompts and process frameworks, and ensure the ethical application of AI tools. The role involves cross-functional leadership, stakeholder partnership, and presenting AI project outcomes to leadership, with a measurable focus on improving AI model performance.

Senior Backend Engineer responsible for the data layer powering Zendesk's AI products, focusing on building and scaling integrations and analytics infrastructure to transform raw support data into automation recommendations. This involves designing and maintaining connectors (ETL), extending the insights engine, building resilient data pipelines, and optimizing search indices for RAG and retrieval features.

Senior Full Stack Engineer to build and improve backend systems for a real-time voice AI product, focusing on low-latency systems, integrations, performance, and reliability. The role involves shipping product features across the voice platform and collaborating with product and design.

Director of Software Engineering to lead and scale global Platform engineering teams, driving the architecture and delivery of API-first, cloud-native platform services that enable partners and customers to build intelligent, AI-powered experiences at scale. The role involves defining platform strategy, owning architecture, partnering with AI teams, driving operational excellence, and staying current with AI tools and technologies.

Senior Product Manager to lead an approvals workflow engine, integrating with AI Agents and external Agentic AI platforms, focusing on customer productivity and employee services. The role involves setting vision, roadmap, driving execution, and ensuring scalability.

This role focuses on customer success and strategic AI roadmap delivery for enterprise clients using Zendesk's AI solutions. The strategist will translate product capabilities into business strategies, drive adoption, maximize business impact, and build executive partnerships to ensure long-term AI success for customers. The role emphasizes accelerating time-to-value, owning multi-year AI roadmaps, and delivering quantifiable commercial outcomes through AI adoption.

Senior Engineering Manager to lead a team focused on cloud governance, IAM, secrets management, and delivery, strengthening cloud security architecture and compliance posture through automation. The role involves managing a distributed team, overseeing initiatives, partnering with security and product teams, and ensuring secure-by-default platforms and guardrails. Experience with enterprise-grade AWS environments, DevOps methodologies, and security/compliance frameworks is required.

This role is for an HRIS Analyst with a focus on Workday configuration, business process design, reporting, and integrations. It involves end-to-end ownership of Workday Recruiting modules, production support, system evolution, and stakeholder partnership. The role also includes mentorship and cross-training of junior team members.

Zendesk is seeking a Principal Data Product Manager to own the strategy, roadmap, and implementation of critical business metrics. This role involves collaborating with senior stakeholders to define metrics, ensuring data integrity, and providing insightful analysis to drive data-driven decision-making across the company. The ideal candidate will have a strong understanding of data platforms and enterprise analytics.

This role is for a Premier Support Engineer at Zendesk, focusing on providing technical support and guidance to enterprise customers. The role involves troubleshooting complex SaaS solutions, understanding Zendesk architecture, and advising on product usage, APIs, and SDKs. It requires strong communication, prioritization, and cross-functional collaboration skills.

This role is for a Senior Services Consultant focused on the technical delivery of Zendesk for Contact Center solutions, specifically using Amazon Connect. Responsibilities include requirements gathering, solution design, configuration, deployment in AWS, client training, and communication with project teams. Requires strong experience with Amazon Connect, AWS, Python, and cloud-based solutions.

Zendesk is seeking a Director of IT Finance to lead teams supporting financial processes (Record to Report, Source to Pay), optimize financial systems, and drive AI-driven automation strategies. The role involves business partnership, systems transformation (ERP migrations), and operational innovation.

Senior Data Engineer role focused on building and maintaining data warehouse solutions, ELT pipelines, and data models using technologies like BigQuery/Snowflake, dbt, and Airflow. The role involves collaborating with business partners to define analytics outcomes and ensure data integrity.