Jobs

Product Specialist - Workday Platform (Workday Build, Workday Data Cloud) and AI Agents
7 Locations
·
On-site
·
Full-time
·
1w ago
Compensation
$129,900 - $191,200
Benefits & Perks
•Equity
•Flexible Hours
•Learning Budget
•Equity
•Flexible Hours
•Learning
Required Skills
Enterprise software sales
Platform technologies
AI technologies
Consultative selling
Sales strategy
Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
About the Team
The Specialized Product Sales team drives adoption of Workday’s most innovative and strategic solutions, including those built on platform technologies, Artificial Intelligence (AI), and Machine Learning (ML).
We are seeking individuals to join this team in the US, focused on Workday’s Platform portfolio, including Workday Extend, AI Agents, and Workday Data Cloud. You will driving complex, platform- and AI-centric sales motions across strategic accounts.
About the Role:
The Workday Platform/AI Agent Center of Excellence (CoE) Product Specialists are responsible for driving the market success and adoption of Workday's Open Platform products.
You will leverage your expertise in platform technologies and AI to position Workday Agent Builder, Workday Extend, Workday Data Cloud, Workday-Built Agents, and more to empower customers and partners to build and manage secure, Workday-native apps and AI agents that operate across the enterprise—transforming how the world’s most innovative companies manage their people and money.
This role requires a consultative sales approach to engage and influence C-Suite executives (CIOs, CTOs, CHROs, etc.) with a compelling narrative focused on platform technology, AI, and enterprise-wide action.
Key Responsibilities Include:
- Lead Strategic Sales: Serve as the Subject Matter Expert (SME), partnering with Sales teams to qualify, strategize, and advance complex sales cycles.
- Drive Demand & Adoption: Lead platform and AI conversations with executives to define and execute adoption strategies. Champion high-value use cases that deliver measurable ROI, process automation, and innovation.
- Scale Enablement: Equip and enable the wider sales organization with insights, repeatable sales plays, training, and customer success stories.
- Orchestrate GTM: Build pipeline by ideating and running targeted demand-generation programs in partnership with Marketing, Partners, and the wider GTM ecosystem.
- Influence Product: Cultivate strong customer and partner relationships, sharing field insights with Product teams to influence roadmap priorities and ensure alignment with customer needs.
- • Maintain Hygiene: Ensure accurate pipeline, forecasting, and opportunity data across all active pursuits.
About You
You are a passionate, high-performing enterprise sales, services or consulting professional who thrives at the intersection of platform technology, AI innovation, and customer transformation. You bring strong executive presence, technical curiosity, and the ability to lead complex sales motions across diverse teams.
You excel at consultative, value-based selling, especially with CIOs, CTOs, IT leaders, and business executives. You enjoy enabling others, building repeatable plays, and helping the broader field adopt new technology and capabilities.
As a self-starter with a growth mindset, you thrive in a dynamic, fast-evolving product area and are energized by shaping Workday’s platform and AI strategy with customers, partners, and internal teams.
Basic Qualifications:
- 6+ years of demonstrated success managing / partnering in complex enterprise software sales cycles, with a consistent record of achieving or exceeding sales / business targets.
- 2+ years of recent experience selling solutions built on platform technologies, including applications / agents, low-code/no-code frameworks, cloud architecture, and enterprise extensibility.
- 2+ years experience of proven ability to create new pipeline and drive transformational technology or services sales within existing and new accounts
- 1+ years with modern AI technologies (e.g., conversational AI, workflow automation, AI agents) sufficient to articulate their business value to C-suite stakeholders.
Other Qualifications:
- Demonstrated experience in orchestrating cross-functional resources (e.g., Sales Consulting, Product, Services) to support deal execution and close opportunities.
- Experience in translating market trends and customer requirements into actionable insights for Product Management and cross-functional teams.
- Serve as a Subject Matter Expert (SME), effectively enabling and upleveling field teams through coaching, and developing essential sales collateral and playbooks for solutions.
- Proven ability to cultivate deep, mutually beneficial relationships with strategic partners, GSIs, and alliances to accelerate pipeline generation and deal execution.
- Strong track record of customer advocacy, quickly establishing credibility, and operating as a trusted advisor throughout the sales cycle.
- Consistent discipline in maintaining accurate customer, pipeline, and forecast data with strong attention to detail.
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.GA.Atlanta
Primary Location Base Pay Range: $129,900 USD - $158,800 USD
Additional US Location(s) Base Pay Range: $156,400 USD - $191,200 USD
Additional Considerations:
If performed in Colorado, the pay range for this job is $156,400 USD - $191,200 USD based on min and max pay range for that role if performed in CO.
The application deadline for this role is the same as the posting end date stated as below:
02/26/2026
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.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
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About Workday

Workday
PublicWorkday, Inc., is an American on‑demand (cloud-based) financial management, human capital management, and student information system software vendor.
10,001+
Employees
Pleasanton
Headquarters
Reviews
2.6
15 reviews
Work Life Balance
3.0
Compensation
4.0
Culture
2.5
Career
2.8
Management
2.2
25%
Recommend to a Friend
Pros
Competitive compensation packages
Principal/senior level opportunities available
AI/technology focus areas
Cons
Major layoffs (8.5% workforce reduction)
Age discrimination lawsuit regarding AI hiring tools
Proprietary Xpresso language is difficult and non-transferable
Salary Ranges
2 data points
Junior/L3
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P2
0 reports
$130,000
total / year
Base
-
Stock
-
Bonus
-
$110,500
$149,500
Interview Experience
9 interviews
Difficulty
3.9
/ 5
Duration
14-28 weeks
Experience
Positive 11%
Neutral 11%
Negative 78%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Director Interview
5
Team Interviews
6
Offer Decision
Common Questions
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
Management/Leadership
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