Senior/Principal Product Manager, Workday
Core Financials AI
$167.2-294k
Salary shown for US and is dependent on location
More information about location
Enterprise AI platform for managing HR, finance & IT
Be an early applicant
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Be an early applicant
$167.2-294k
Salary shown for US and is dependent on location
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- For Sr. Level: Minimum of 8 years of product management experience shipping SaaS, B2B, or enterprise platform products
- For Principal Level: Minimum of 12 years of product management experience shipping SaaS, B2B, or enterprise platform products
- 1+ years of hands-on experience building, testing, or deploying AI/LLM-powered products or agentic workflows
- 1+ years technical fluency with AI evaluation methodologies, API architectures, and data schemas in enterprise software
- Domain Knowledge: Deep understanding of enterprise financial workflows, accounting logic, or the Office of the CFO (e.g., audit sampling, procure-to-pay, close management, reconciliation)
- Hands-on Builder Mindset: Proven track record of prototyping, building evaluation sets, and working side-by-side with engineering teams rather than managing purely through high-level strategy decks
- Ecosystem & Customer Agility: Ability to run technical discovery with enterprise finance leaders and Big 4 audit partners while translating user needs into rigorous functional specs
- Cross-Functional Influence: Demonstrated ability to align matrixed engineering, platform, and product teams around shared API contracts and agent frameworks without direct authority
- Execution & Velocity: Strong bias for action, organizational skill to manage multi-thread dependencies, and comfort making crisp decisions with incomplete data in fast-paced environments
- You actively experiment with emerging AI technologies, agentic frameworks, and LLM evaluation tools on your own
- You enjoy getting into the details of financial transaction data, API specs, and evaluation datasets to prove model accuracy and customer ROI
- You excel at turning ad-hoc, complex technical processes into repeatable, self-service frameworks that empower other teams to build
What the job involves
- The Core Financials team drives product direction and evaluation frameworks for agentic systems, collaborating directly with AI development teams to transform complex financial logic into production-grade capabilities. We power high-stakes enterprise financial workflows and invent and apply innovations, like the Financial Audit Agent (FAA) and Financial Test Suite (FTS), to drive unprecedented levels of accuracy, auditability, and intelligence at scale
- Operating at the intersection of finance domain expertise and AI innovation, our team defines the functional direction and validation standards for the Workday Financials products. We collaborate side-by-side with central AI engineering teams to power the future of finance with enterprise--grade agents and capabilities that proactively manage and control risk, transform financial workflows, and unlock growth for our customers
- We are seeking a hands-on, builder-minded AI Product Manager to accelerate the evaluation, iteration, and deployment of our agentic capabilities across Core Financials
- Sitting directly within the Core Financials product team, you will own the delivery of production test and eval frameworks, drive deep customer discovery with finance leaders and partner ecosystems, and orchestrate complex technical integrations across AI Agent Factory, other platform organizations, and domain engineering teams
- This is a high-impact PM role for someone who thrives on building and executing: you will own the end-to-end evaluation pipeline for AI agents, partner directly with enterprise Finance teams, and establish self-service frameworks that allow sub-agents and skills to scale
- By driving execution, stakeholder alignment, and customer insight, you will support the Core Financials product vision and monetize innovative offerings across the broader Financials AI portfolio
- Drive AI Test & Evaluation Frameworks: Design, build, and execute evaluation suites and benchmark metrics to validate agent reasoning, accuracy, and performance across Financial Audit Agent (FAA) and Financial Test Suite (FTS)
- Customer & Ecosystem Discovery: Partner directly with enterprise customers and partner ecosystems to conduct deep discovery, run Early Adopter programs, and translate audit/finance requirements into agent capabilities
- Agent & API Integration: Define functional requirements for backend APIs and data services , orchestrating integrations between core financial engines, sub-agents, and the central AI Agent Factory
- Cross-Agent Ecosystem Alignment: Rationalize capabilities, data schemas, and workflows across adjacent financial agents to establish unified agentic patterns
- Scalable Product Frameworks: Develop standardized design patterns that enable distributed engineering and domain teams to rapidly build and deploy new audit test cases with minimal PM overhead
- Inbound Sprint & Feature Delivery: Serve as the primary Product Manager partner for engineering, UX, and research teams - unblocking technical edge cases, refining backlog requirements, and ensuring rapid, high-quality feature execution
- Executive & Stakeholder Communication: Synthesize complex agent capabilities, evaluation results, and product progress into compelling narratives for executive leadership, field teams, and customer advisory groups
Application process
- End Date: September 11, 2026
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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