Senior Manager of Software Development Engineering, Workday
Agentic & Semantic System
CA$176-264k
Enterprise AI platform for managing HR and finance
Open for applications
Enterprise AI platform for managing HR and finance
1001+ employees
Open for applications
CA$176-264k
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- The ideal candidate thrives in high-growth environments, demonstrating the ability to move fast through ambiguity while fostering a culture of innovation to accelerate agent development and deliver frictionless data discovery and processing experiences
- 5+ years experience leading and developing software development engineering teams, including 2+ years managing other development managers
- 10+ years experience in software development engineering, defining, implementing, and evolving development processes, tools, and strategies for high-quality software delivery
- Expert in at least one of the following areas:
- 5+ years hands on experience delivering Machine Learning systems from experimentation, implementation, validation and monitoring
- Machine Learning or Data Science, familiar with Agent frameworks and design patterns
- MCP protocol and server technologies
- 5+ years hands on experience delivering Semantic engine or BI, familiar with Semantic Modeling, Knowledge Representations, and BI frameworks
- Bachelor’s degree in Computer Science, Engineering, or related discipline; Master's degree preferred or equivalent practical experience
- Understanding of development lifecycles for projects utilizing programming languages and frameworks like Scala, Python, PyTorch, LangChain, etc
- Strong understanding of Decision Making processes in managing complex engineering teams and strategic initiatives
- Developing strong Influencing Skills to drive technical direction and organizational alignment
- Solid understanding of People Management principles for leading large software development organizations and fostering a high-performance culture
- Strong Understanding of Requirements and the ability to ensure alignment and execution across multiple teams
What the job involves
- Being part of the Data Cloud organization at Workday, the team is building on the semantic platform to enable agentic access to Workday Data Cloud. The mission of the team is to accelerate agent development and provide a friction-less experience for agents to interact with federated data sources
- In this pivotal role, you will spearhead the engineering efforts to bootstrap a unified platform that enables internal and external agents to interact seamlessly with the Workday Data Cloud through a robust semantic layer and MCP server framework
- As a hands-on leader, you will be responsible for building and coaching a high-performing team of engineers, building and executing the product roadmap, and ensuring the delivery of mission-critical capabilities that meet rigorous functional and quality requirements on schedule
- Visionary Leadership: Execute on an ambitious roadmap
- Strategic Delivery: Manage complex engineering projects from conception to launch, ensuring all deliverables meet the highest standards of quality and reliability. Deliver on time with well thought of tradeoffs
- Team Growth: Lead and mentor an initial team with plans to actively recruit and bolster engineering capacity to support the next wave of platform innovation
- Innovation Under Ambiguity: Support the team in navigating the evolving landscape of Agentic AI, fostering an environment where engineers can rapidly prototype, debug, ship and iterate on solutions
- Collaborative Impact: Work closely with cross-functional partners to establish "Data and Semantic Platform" as the critical system for developing agents
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 & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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