Vice President of Product - CRM Platform

Role Overview

Cendyn is seeking a Vice President of Product – CRM Platform to lead the strategy, vision, and execution of our next‑generation hospitality CRM platform. This leader will own the evolution of Cendyn’s CRM ecosystem—powering customer data, guest engagement, marketing automation, and personalized experiences for leading hospitality brands worldwide.

The VP of Product will define and drive the long‑term product vision for CRM, transforming it into a modern, scalable, data‑driven SaaS platform that enables hotels and hospitality groups to better understand, engage, and grow their guest relationships.

This role requires a strategic product leader who combines deep CRM domain expertise, SaaS platform thinking, and strong execution capabilities. The VP will partner closely with engineering, data, marketing, customer success, and executive leadership to deliver innovative CRM capabilities that drive measurable customer value.

• Define and communicate the long‑term vision and product strategy for Cendyn’s CRM platform.
• Build and manage the multi‑year product roadmap aligned with company growth, market needs, and customer outcomes.
• Position Cendyn’s CRM as a best‑in‑class hospitality customer data and engagement platform.
• Identify new product opportunities across guest data platforms, personalization, marketing automation, loyalty integration, and AI‑driven engagement.

• Own the strategy and development of the core CRM platform, including:
  • Unified guest profiles
  • Customer data management
  • Segmentation and targeting
  • Campaign and marketing automation
  • Personalization and lifecycle engagement
  • Reporting and customer intelligence
• Ensure the CRM platform supports enterprise‑scale data management, security, and compliance.

• Lead product innovation around customer data platforms (CDP), AI‑driven segmentation, predictive analytics, and personalization.
• Drive capabilities that enable hospitality brands to deliver real‑time, data‑driven guest experiences across digital and on‑property channels.
• Ensure the CRM platform effectively integrates data from PMS, booking engines, loyalty systems, marketing channels, and third‑party technologies.

• Partner with engineering to deliver high‑quality SaaS products with strong reliability, scalability, and performance.
• Lead product lifecycle management from discovery and design through delivery and optimization.
• Establish strong product management processes, product discovery frameworks, and customer feedback loops.
• Use data and metrics to guide product prioritization, adoption, and product‑market fit.

• Engage directly with strategic customers to understand CRM needs, guest engagement challenges, and evolving market demands.
• Represent the product vision internally and externally with customers, partners, and industry stakeholders.
• Monitor competitive trends across CRM, CDP, marketing automation, and hospitality technology platforms.

• Partner closely with:
  • Engineering to drive technical innovation
  • Customer Success to ensure strong product adoption
  • Sales & Marketing to position CRM capabilities in the market
  • Data and AI teams to unlock customer insights
• Serve as a key member of the product and technology leadership team.

• Build, lead, and mentor a high‑performing product management team.
• Establish a strong culture of customer‑centricity, experimentation, and continuous innovation.
• Develop product leaders who can scale with the company’s growth.

• 12+ years of product management experience, including leadership roles in SaaS platforms, CRM technologies or data‑driven products.
• Proven experience building and scaling CRM, CDP, marketing automation, or customer engagement platforms.
• Strong understanding of customer data architecture, APIs, integrations, and SaaS platform design.
• Demonstrated experience designing, launching, or managing AI‑powered product capabilities, such as predictive analytics, segmentation, personalization, recommendations, or intelligent automation.
• Working knowledge of machine learning and…