Principal Outbound Product Manager - Data Cloud

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About the Team

The Data Cloud organization is at the forefront of Workday’s next major wave of innovation, driven by a bold mandate to build the industry’s first true Platform for Agents. We are a high-energy, ambitious team that balances Workday's deep foundational expertise with fresh, forward-thinking perspectives to accelerate our pace of delivery and unlock massive new commercial value. By leveraging Workday’s unique business context, trusted data, and identity guardrails, we are building the critical engine that will power the future of AI and agentic workflows across the enterprise. As a team, we value organizational clarity, deep cross-functional collaboration, and rapid execution, working together to evolve our architecture and aggressively scale our impact in the market.
The Data Cloud organization is seeking a Principal Outbound Product Manager to own the external narrative, go-to-market strategy, and field engagement for our agentic and AI-data capabilities. This individual will partner closely with inbound product leadership to turn deep platform investments — Trusted data, Open standards data exchange, Agentic workflows, MCP toolkits, and AI evaluation frameworks — into market-winning positioning, enablement, and customer adoption.

About the Role

As the Principal Outbound Product Manager for Data Cloud, you will play a pivotal role as the technical/domain expert who owns the external roadmap, go-to-market strategy, and competitive positioning for our Data Cloud and Platform for Agents portfolio. Sitting at the intersection of product, engineering, marketing, and sales, you will translate complex AI and data platform capabilities into compelling narratives, scaled enablement programs, and customer success — ensuring Workday Data Cloud is recognized as the premier destination for building and deploying trusted, enterprise-grade AI agents.

Outbound Strategy & Go-to-Market

• GTM: Own the external roadmap, positioning, and go-to-market strategy for Data Cloud’s agentic and AI-data capabilities, partnering with inbound product management on sequencing and launch readiness.
• Launch Ownership: Lead cross-functional launch planning across Product, Sales, Marketing, Partners, and Customer Success to coordinate timing, messaging, and enablement for new Data Cloud and Platform for Agents capabilities.
• Positioning: Translate platform capabilities — including Zero Copy Data Access, At scale analMCP toolkits, evaluation frameworks — into clear value propositions and commercial narratives that drive adoption and consumption
• Consumption & Monetization: Define the adoption motions, success metrics, and customer journeys that drive sustained compute consumption, expansion, and value realization for our premium Data Cloud offerings

Customer & Field Engagement

• Executive & Technical Customer Engagement: Meet directly with existing and prospective customers, including CIOs, CDOs, CFOs, CHROs, and their data and AI teams, to understand use cases, present the roadmap, and shape their data and AI strategies as a trusted subject-matter expert and strategic advisor.
• Design Partner & Early Adopter Programs: Build, scale, and run design partner, early access, and customer advisory board programs for AI and agentic capabilities, converting feedback into prioritized product requirements.
• Field Enablement: Serve as the subject matter expert for Sales, Pre-Sales, Solution Architects, and Customer Success. Create demos, reference architectures, playbooks, training, and sales kickoff content, and join strategic deals and renewals.
• Voice of the Customer: Gather, synthesize, and quantify customer, partner, and field feedback, and drive it into roadmaps through close partnership with Inbound Product Managers and Engineering.

Competitive Intelligence & Market Positioning

• Maintain a deep, current view of the competitive landscape for enterprise data and agentic AI platforms, producing positioning and battlecards for sales and partner teams.
• Partner with Analyst Relations to shape coverage from Gartner, Forrester, and other industry analysts covering AI and data platforms.
• Identify emerging market trends and whitespace opportunities, feeding insights back into the Data Cloud product strategy.

Sales & Partner Enablement

• Develop and deliver enablement content — playbooks, training, FAQs, and objection handling — that equips direct sales, partner, and solution consulting teams to sell Data Cloud’s AI and data capabilities.
• Support deal cycles for strategic accounts, providing technical and commercial expertise to remove blockers to adoption.
• Define and track outbound success metrics (pipeline influence, adoption, consumption) and report progress to product and go-to-market leadership.

Executive & Analyst Storytelling

• Craft compelling narratives, keynote content, and executive/board-level materials that translate complex agentic and data platform capabilities into clear business value.
• Represent Workday Data Cloud at industry events and with customers, press, and analysts as needed.
• Act as the connective tissue between Data Cloud product and engineering, product marketing, and company-wide go-to-market functions.

About You

Basic Qualifications

• 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.

Other Qualifications

• Demonstrated experience owning an external roadmap, go-to-market strategy, and competitive positioning for a technical or data platform.
• Experience with enterprise data platforms, generative AI, LLMs, or agentic frameworks (such as MCP) strongly preferred, or experience working closely with applied AI and cross-functional ML teams.
• Track record of building trusted relationships with enterprise customers, executives, and industry analysts.
• Outstanding narrative, storytelling, and executive communication skills, with the ability to translate deep technical capability into clear business value.
• Proven 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 highly technical topics such as AI trust frameworks and data platform architecture.
• Ability to handle interpersonal relationships with a high degree of emotional intelligence and self-awareness.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CA.PleasantonPrimary Location Base Pay Range: $196,000 USD - $294,000 USDAdditional US Location(s) Base Pay Range: $167,200 USD - $294,000 USD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

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