Product Manager, Martech & Digital Systems

Zendesk Zendesk · Enterprise · Austin, TX +2 · Remote

Product Manager for MarTech & Digital Systems at Zendesk, focusing on scaling marketing technology and embedding AI for personalized customer journeys and flexible revenue models. The role involves defining product vision, implementing AI solutions (predictive, generative, agentic), managing digital channels, ensuring system architecture and integrations, and partnering with cross-functional teams. Key responsibilities include evaluating and governing AI solutions, architecting digital marketing systems, overseeing data flow, and ensuring data quality and governance, especially for AI tools.

What you'd actually do

  1. Evaluate, implement, and govern AI solutions across the GTM stack. This includes integrating predictive models (e.g., AI lead scoring), deploying generative AI for content and web workflows, and leveraging agentic AI to automate manual ops tasks.
  2. Architect and manage the underlying systems that power our digital marketing efforts. This includes owning the technical foundations for SEO, enterprise Content Management Systems (CMS), eCommerce platforms, and Product-Led Growth (PLG) trial and expansion motions.
  3. Oversee the end-to-end flow of data across systems. Ensure integrations between our website, trial databases, eCommerce billing, and CRM are stable, scalable, and built to support rapid growth.
  4. Partner with IT Security and Data teams to establish robust data governance frameworks, specifically ensuring that new AI tools comply with internal security and data privacy regulations (GDPR, CCPA).

Skills

Required

  • 5+ years of experience in Product Management, Business Systems Analysis, or MarOps with a heavy emphasis on technology ownership.
  • Deep understanding of B2B Go-To-Market lifecycles, digital marketing channels (SEO, SEM, organic), and product-led growth (PLG) or trial-based acquisition models.
  • Strong conceptual understanding of modern AI technologies (LLMs, RAG, predictive analytics) and how to practically apply and govern them within enterprise B2B marketing and sales environments.
  • Strong working knowledge of enterprise Content Management Systems (e.g., Adobe Experience Manager (AEM)), eCommerce platforms (e.g., Adobe Commerce/Magento), web analytics (e.g., Adobe Analytics, Google Analytics 4), and personalization/A-B testing engines (e.g., Adobe Target).
  • Advanced proficiency with core GTM platforms and enterprise Marketing Automation systems, specifically within the Adobe Experience Cloud (e.g., Adobe Marketo Engage, Adobe Real-Time CDP), as well as deep knowledge of CRM architecture (Salesforce).
  • Familiarity with integration platforms (iPaaS) and understanding of API capabilities, webhook structures, and relational data models.
  • Proven experience working in an Agile/Scrum environment, utilizing tools like Jira or Asana to manage sprints and backlogs.

Nice to have

  • Hands-on experience implementing AI-native GTM tools or platform-specific AI features (e.g., Adobe Sensei, Salesforce Einstein, custom AI integrations).
  • Experience with routing and orchestration tools (e.g., LeanData, Openprise).
  • Experience with intent data and ABM platforms (e.g., 6sense, Demandbase).

What the JD emphasized

  • AI solutions
  • agentic AI
  • AI-driven lead scoring
  • AI-assisted content workflows
  • AI technologies
  • govern AI solutions
  • AI-native GTM tools
  • AI integrations

Other signals

  • integrating predictive models
  • deploying generative AI for content and web workflows
  • leveraging agentic AI to automate manual ops tasks
  • AI-driven lead scoring
  • AI-assisted content workflows