Principal Outbound Product Manager – Data Cloud

Workday•Pleasanton, CA
•$167,200 - $294,000•Hybrid

About The Position

The Principal Outbound Product Manager for Data Cloud owns the external roadmap, go-to-market strategy, and competitive positioning for Workday’s Data Cloud and Platform for Agents portfolio. Working across product, engineering, marketing, sales, partners, and customer success, this role translates complex AI and data-platform capabilities into market positioning, enablement, and customer adoption. The role focuses on capabilities including trusted data, open-standards data exchange, agentic workflows, MCP toolkits, and AI evaluation frameworks, with the goal of establishing Workday Data Cloud as a premier platform for building and deploying trusted, enterprise-grade AI agents. The position leads launch planning, adoption and monetization motions, customer and field engagement, competitive intelligence, sales and partner enablement, and executive storytelling. It engages with customers and executives, builds design-partner and early-adopter programs, incorporates customer feedback into product roadmaps, supports strategic deals, and represents Data Cloud with customers, analysts, and at industry events. The role is based on Workday’s Flex Work approach: employees spend at least half of each quarter in the office or in the field with customers, prospects, and partners, with flexible scheduling around business, team, and personal needs.

Requirements

  • At least 10 years of experience in outbound product management, product marketing, or technical product management, including experience in enterprise SaaS, cloud data, or AI platforms.
  • BA, BS, or equivalent experience in Computer Science, Business, Data Science, or a related field.
  • Demonstrated experience owning an external roadmap, go-to-market strategy, and competitive positioning for a technical or data platform.
  • Track record of building trusted relationships with enterprise customers, executives, and industry analysts.
  • Outstanding narrative, storytelling, and executive communication skills, including the ability to translate technical capabilities into clear business value.
  • Ability to influence cross-functional stakeholders across Product, Engineering, Sales, and Marketing without direct authority.
  • Experience building sales and partner enablement programs and scaled customer feedback loops.
  • Ability to learn quickly in a fast-paced team, including technical topics such as AI trust frameworks and data-platform architecture.
  • Ability to manage interpersonal relationships with emotional intelligence and self-awareness.

Nice To Haves

  • Experience with enterprise data platforms, generative AI, LLMs, or agentic frameworks such as MCP is strongly preferred.
  • Experience working closely with applied AI and cross-functional machine learning teams.

Responsibilities

  • Own the external roadmap, positioning, and go-to-market strategy for Data Cloud’s agentic and AI-data capabilities, coordinating with inbound product management on sequencing and launch readiness.
  • Lead cross-functional launch planning across Product, Sales, Marketing, Partners, and Customer Success.
  • Translate platform capabilities into clear value propositions and commercial narratives that drive adoption and consumption.
  • Define adoption motions, success metrics, and customer journeys that promote sustained compute consumption, expansion, and value realization.
  • Meet with existing and prospective customers and their data and AI teams to understand use cases, present the roadmap, and advise on data and AI strategies.
  • Build and run design-partner, early-access, and customer advisory board programs, and convert feedback into prioritized product requirements.
  • Create demos, reference architectures, playbooks, training, and sales kickoff content; serve as a subject-matter expert for Sales, Pre-Sales, Solution Architects, and Customer Success; and participate in strategic deals and renewals.
  • Gather, synthesize, and quantify customer, partner, and field feedback and inform roadmaps in partnership with Inbound Product Managers and Engineering.
  • Monitor the enterprise data and agentic AI competitive landscape and create positioning and battlecards for sales and partner teams.
  • Partner with Analyst Relations to shape industry analyst coverage of AI and data platforms.
  • Identify market trends and whitespace opportunities and feed insights into Data Cloud product strategy.
  • Develop and deliver enablement content, including playbooks, training, FAQs, and objection handling, for sales, partner, and solution consulting teams.
  • Support strategic-account deal cycles with technical and commercial expertise to remove adoption blockers.
  • Define and track outbound success metrics, including pipeline influence, adoption, and consumption, and report progress to product and go-to-market leadership.
  • Craft narratives, keynote content, and executive- and board-level materials that communicate business value.
  • Represent Workday Data Cloud with customers, press, analysts, and at industry events as needed.
  • Connect Data Cloud product and engineering with product marketing and company-wide go-to-market functions.

Benefits

  • May be eligible for the Workday Bonus Plan or a role-specific commission or bonus.
  • May be eligible for annual refresh stock grants.
  • Workday states that it offers comprehensive benefits; specific benefits are not listed in the posting.
  • Flexible scheduling under Workday’s Flex Work approach.
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