Canada Workday ULC

USA, CA, Pleasanton | Canada, BC, Vancouver

Senior AI Engineer

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 Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, AI engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter. About the Role As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent agents. While our ML Engineers focus on building, training, and optimizing foundational algorithms, your mission is intelligence orchestration and product delivery—connecting the brain to the product. Sitting at the intersection of AI capabilities, enterprise platforms, and human workflows, you will develop and integrate foundational models safely and reliably into functional, production-grade software. You will be hands-on in the design, experimentation, and orchestration of complex agentic workflows, translating cutting-edge AI capabilities into scalable business value. Because these agents interact with sensitive financial data at a global scale, you will be a key contributor to Responsible and Governed AI—implementing strict guardrails for data privacy, predictability, and explainability within your pod. This role requires a balance of domain-level system architecture and rigorous execution, solving critical product constraints like latency, cost, and reliability. Your responsibilities Design and deliver effective agentic AI experiences for Workday Financials customers Set the strategy for evaluating agent performance Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning Share knowledge, mentor teammates, and help raise the technical bar across the team About You Basic Qualifications: 8+ years experience in software engineering 2+ years experience integrating large models (LLMs, Foundation Models) and modern AI APIs into user-facing products 1+ years experience in agent evaluations Other Qualifications: Experience designing evaluation datasets, test suites, and automated metrics tied to product requirements (e.g. golden sets, production traces, synthetic data) Experience evaluating multi-step agent behavior (e.g. tool use, task completion, trajectories) Experience with production evaluation frameworks (e.g. LangSmith, Langfuse) Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability) High sense of agency to drive work forward independently Strong communication skills, with the ability to collaborate with technical and non-technical partners Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement Track record of technical leadership and mentoring engineers Understanding of governance, guardrails, and security practices when deploying agents over sensitive enterprise data 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 in Canada, please click here . For more information regarding Workday’s comprehensive benefits in the US, please click here . Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $208,000 USD - $312,000 USD Additional CAN Location(s) Base Pay Range: $169,000 - $253,000 CAD 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. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email accommodations@workday.com , as far in advance as possible. 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.

Technology

Canada Workday ULC

Principal ML Engineer, Admin Central

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 We are hiring engineers on two different teams. Admin Central is building the future of how administrators work across Workday—turning a fragmented patchwork of tools and disconnected AI into a single, unified experience. Within Admin Central, Workday implementations move from being driven by human effort to being powered by intelligence designed into the platform. The Business Process Optimize team powers the underlying platform infrastructure. You’ll build mission-critical distributed systems, high-availability usage pipelines, new agentic functionality, and event-driven data flows across global product regions to ensure enterprise billing integrity at scale. If you're excited to build from scratch, move fast, and transform how thousands of admins work every day, come join us! About the Role About the Role As a Principal Software Engineer you will lead the architecture and implementation of Workday’s next-generation AI platforms and autonomous agent frameworks. You’ll sit at the intersection of machine learning, event-driven data systems, and enterprise platform engineering—transforming cutting-edge AI research into production-ready, highly reliable systems handling tens of millions of daily requests for hundreds of enterprise tenants (including over 100+ Tier-0 enterprise tenants). In this hands-on, high-impact role, you will design the ML infrastructure, multi-agent orchestration layers, and high-availability usage pipelines that power enterprise-grade decision-making, usage tracking, automatic tenant maintenance, and billing integrity across international regions. Your Primary Focus Agentic AI & Orchestration: Design, implement, and maintain advanced agentic capabilities, including tool calling, multi-agent workflows, long-range planning, reasoning frameworks, and human-in-the-loop integrations. Scalable ML Infrastructure: Build secure, high-throughput REST services and event-driven data pipelines using Python, AWS, Kubernetes, and cloud-native tech. Architect multi-tenant runtimes that deliver fast, low-latency inference to millions of global users. MLOps & Enterprise Reliability: Establish end-to-end MLOps standards—including CI/CD automation, observability, evaluation frameworks, model monitoring, and privacy/anonymization guardrails—ensuring systems are explainable, secure, and production-resilient. Technical & Strategic Leadership: Partner closely with software engineers, Product Managers, Data Engineering, SRE, and Legal/Compliance stakeholders to turn ambiguous business needs into scalable technical designs and long-term data-governance strategies. About You Basic Qualifications 12+ years in ML development and R&D leadership, including 8+ years with advanced ML methodologies, distributed frameworks, and cloud-based platforms — designing complex, scalable, production-grade ML systems. 6+ years building and hosting scalable ML services, microservices, and high-throughput data pipelines in production using Java, Go, Scala, or Python. 4+ years working with LLMs, generative AI, RAG pipelines, and autonomous agent frameworks for real-world enterprise applications. Other Qualifications Data Processing & Pipelines: Expert in high-throughput streaming (Kafka), real-time feature extraction (Spark/Flink), and distributed columnar storage (ClickHouse, Iceberg) to architect large-scale ML pipelines. AI/ML Expertise: Deep knowledge of deep learning, LLM orchestration, RAG, and agentic systems — applying ML algorithms and Model-Based Design (including MCP integrations and tool-use frameworks) to multi-agent coordination, intent classification, and workflow optimization. Data Analysis & Feature Engineering: Proven ability to lead EDA on multi-tenant agentic workflows to shape data strategy, paired with mastery of high-dimensional embeddings, vector database management, and data isolation. Model Lifecycle: Proven ability to lead model building, fine-tuning, and deployment of domain-specific foundation models — including Kubernetes/Docker deployment, automated CI/CD retraining, and managing drift/latency at scale. Technical Stack: Mastery of Python and the ML ecosystem (PyTorch, TensorFlow, LangChain, LangSmith, LlamaIndex, NumPy, Pandas, Scikit-learn), with strong experience deploying production systems on PostgreSQL, Redis, Kafka, and cloud infrastructure (AWS/GCP/Azure). Team Leadership: Exceptional collaboration and mentoring skills — technically leading cross-functional pods, driving sprint planning, and translating technical/governance decisions for executives. Education: Bachelor's in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field (or equivalent experience); Master's or PhD strongly preferred. 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.Pleasanton Primary Location Base Pay Range: $228,000 USD - $342,000 USD Additional US Location(s) Base Pay Range: $190,600 USD - $342,000 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. 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. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email accommodations@workday.com , as far in advance as possible. 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.

USA, CA, Pleasanton

Technology

Canada Workday ULC

Software Development Engineer in Test, Evisort AI

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 Our mission is to change the way business deals get done. In an industry plagued by inefficient and ineffective contract management systems, we provide a solution that accelerates, scales, and protects the business, enabling contract professionals to become their company’s superhero. We create innovative AI technology that makes contracts searchable and simplifies deal-making processes to supercharge business while helping to reduce costs and handle risk. We automate manual work, facilitate collaboration, and streamline operations so businesses can make better decisions. By reimagining legal documents, we take the stress out of contract management, empowering brilliant people to do their best work while fueling exponential growth. About the Role Collaborate closely with our agile, multi-functional engineering team to build a robust, enterprise-grade SaaS contract management platform. Drive the quality assurance process by implementing comprehensive automated functional and regression testing, ensuring our platform consistently meets the highest quality standards. Enhance platform scalability by implementing effective performance and load testing strategies. Partner with software developers and product managers to define features and establish criteria for verifying correct implementation, fostering a quality-first attitude throughout the development cycle. Apply your expertise in test automation to design, develop, and maintain efficient test automation frameworks that support continuous delivery and integration. About You Basic Qualifications: 3+ years of experience in quality engineering with a strong focus on test automation. 3+ years of experience with proficiency in modern automation tools and technologies; Playwright is highly desirable. 3+ years of experience testing Python and React applications, backed by a strong commitment to quality engineering principles & Patterns. Other Qualifications: Demonstrated ability in Algorithmic Thinking, including sorting, searching, and fundamental data structures (e.g., arrays, lists), to design efficient test automation scripts and solutions. Basic experience with Automated Testing, including Playwright or Cypress and the ability to write and debug automated tests. Basic understanding of CI/CD pipelines and how automated testing integrates within GitHub / GitLab Actions. Familiarity with one or more Programming Languages such as JavaScript, Typescript and/or Python relevant to test automation development. Basic understanding of Software Development principles and the software development lifecycle. Basic experience with Source Control Management (SCM) tools such as Git. Proven ability in Team Collaboration within a software development and testing team. Basic understanding of Test Automation Framework concepts and different framework types. Basic understanding of Test Design principles and the ability to create test cases. Awareness of Test Documentation standards and the ability to contribute to test plans, test cases and traceability matrices. Basic understanding of Test Management tools and concepts for tracking test execution, linking tests to requirements, and managing defects. Basic understanding of various Testing Strategies and their application in automation. Workday Pay Transparency Statement T he 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: CAN.BC.Vancouver Primary CAN Base Pay Range: $83,400 - $125,000 CAD Additional CAN Location(s) Base Pay Range: $83,400 - $125,000 CAD 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. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email accommodations@workday.com , as far in advance as possible. 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.

Canada, BC, Vancouver

Technology

Canada Workday ULC

Sr ML Engineer, Admin Central

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 We are hiring Sr ML Engineers across two teams. Admin Central is building the future of how administrators work across Workday—turning a fragmented patchwork of tools and disconnected AI into a single, unified experience. Within Admin Central, Workday implementations move from being driven by human effort to being powered by intelligence designed into the platform. The Business Process Optimize (BPO) team powers the underlying platform infrastructure. You’ll build mission-critical distributed systems, high-availability usage pipelines, new agentic functionality, and event-driven data flows across global product regions to ensure enterprise billing integrity at scale. If you're excited to build from scratch, move fast, and transform how thousands of admins work every day, come join us! About the Role Key Responsibilities ML Infrastructure & Pipeline Engineering: Architect, deploy, and maintain end-to-end Machine Learning pipelines—from distributed data ingestion and feature engineering to model training, evaluation, and production deployment. Agentic AI & Recommendation Engines: Design algorithms and LLM-driven recommendation features (e.g., IDD insights, next-best-action models) that optimize agentic workflows and tool usage. Low-Latency Inference & Scaling: Optimize real-time model inference and scoring microservices to ensure sub-second response times across high-concurrency multi-tenant environments. LLM & Agentic Observability: Integrate telemetry and tracing (OpenTelemetry, LangChain, LangSmith) into ML pipelines to track model performance, prompt/response drift, and execution efficiency. Data & Feature Store Architecture: Collaborate with core backend engineers to leverage big data platforms (ClickHouse, Apache Iceberg, Spark) for high-dimensional feature retrieval and analytics. Cross-Functional Leadership: Partner closely with Product Managers, Data Engineering, SRE, and Legal/Compliance to translate complex business and governance requirements into scalable ML solutions. About You Basic Qualifications 8+ years of experience in machine learning development, researching, developing, and implementing advanced machine learning models and techniques, with at least 4+ years focused explicitly on building, deploying, and operating production Machine Learning systems at scale. 5+ years of experience and proficiency in deep learning, natural language processing (NLP), and GenAI/LLM orchestration, utilizing frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, LangChain, and LlamaIndex, alongside proficiency in Java, Go, Scala, or C++ for high-performance backend systems. Other Qualifications Data Processing & Pipelines: Strong ability in distributed processing (Spark, Flink, Kafka) and high-throughput columnar/vector storage (ClickHouse, Pinecone, Milvus) to design robust ML data pipelines. AI/ML Expertise: Solid knowledge of RAG architectures, LLM fine-tuning, intent classification, and recommendation engines—applying ML algorithms and Model-Based Design (including MCP tooling and structured agentic execution paths) to multi-agent orchestration, contextual reasoning, and workflow optimization. Data Analysis & Feature Engineering: Experience leading EDA on multi-tenant execution logs to validate prompt/response accuracy and optimize tool usage, paired with strong feature engineering skills for vector embeddings, feature stores, and multi-tenant data isolation. Model Lifecycle: Experience leading model building (foundation model adaptation, prompt engineering, fine-tuning, low-latency inference) and deep understanding of the model development lifecycle, including MLOps platforms (Kubeflow, MLflow, Airflow, SageMaker) for monitoring, latency tracking, and retraining at scale. Technical Stack: Strong proficiency in Python and ML libraries (PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, LangChain, LangSmith, DSPy), with experience deploying scalable ML systems in cloud-native production using Docker, Kubernetes, gRPC/REST APIs, and CI/CD under strict high-availability (99.9% uptime) and low-latency SLAs. Team Collaboration: Strong ability to mentor team members, drive cross-functional technical alignment, draft system design specs/model cards, and communicate technical and governance decisions. Education: Bachelor's in Computer Science, Data Science, Machine Learning, Applied Mathematics, Statistics, or Engineering; Master's or PhD strongly preferred. 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.Pleasanton Primary Location Base Pay Range: $192,000 USD - $288,000 USD Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 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. 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. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email accommodations@workday.com , as far in advance as possible. 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.

USA, CA, Pleasanton

Technology

Canada Workday ULC

USA, GA, Atlanta | USA, TX, Frisco | USA, MA, Boston | USA, CA, Pleasanton | USA, IL, Chicago

Senior Sana Learning & HCM Functional Consultant

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 Workday's Consulting teams are driven by a passion for our products and the success of our customers in implementing our best in class cloud solutions. We're a diverse group of people, with an invaluable mix of experience and backgrounds, located across multiple locations within the region. We are often remote from one another but that doesn't stop our sense of collaboration, supportiveness, and fun! About the Role We are looking for a hardworking, innovative, and collaborative Functional Consultant to join our team. In this role you will ensure the successful implementation of Sana Learning and adjacent Workday HCM solutions with customers through product, instructional design, and implementation expertise. The ideal candidate for this position should have extensive experience implementing or supporting learning systems, requirements capturing, configuration, instructional/content design, data conversion, and testing. You should be detail oriented, self-motivated, proactive, results-oriented, and able to successfully partner with customers and your project team. Be ready to be challenged and have fun! Responsibilities Master Sana Learning AND at least one adjacent Workday product (HCM Core, Talent Management, Learning, Compensation, Benefits, or Recruiting) Configure Sana Learning and adjacent Workday modules to match each customer's learning content strategy and requirements Apply instructional design principles to consult with customers on learning content structure, taxonomy, and authoring best practices Translate client business requirements into configured solutions; build and demonstrate prototypes; support client testing Work with the client to help convert legacy data into Workday Partner with the Integration team on testing integrations between Workday/Sana and third-party or custom systems Apply Workday's Implementation Methodology to the functional/configuration workstream Mentor and share product and content-configuration knowledge with fellow consultants About You Basic Qualifications: At least 5 years of experience configuring enterprise learning AND HCM software, or in a functional consulting/customer success role focused on content and system configuration Hands-on experience configuring at least one Workday HCM-suite product (Learning, Talent Management, Compensation, Benefits, Recruiting) strongly preferred Previous consulting experience with a consulting or software company required Other Qualifications: Proven project management experience and a passion for customer service Naturally curious, always learning, and treats every challenge as a growth opportunity Strong functional/configuration skills with an eye for learning content design and structure Comfortable engaging stakeholders on content and configuration decisions; excellent communication skills Business analysis and requirements-gathering ability Ability to learn technology quickly through instruction and self-training. Workday HCM/Learning certification a plus Ability to travel up to 30% of the time 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: $131,500 USD - $197,300 USD Additional US Location(s) Base Pay Range: $111,000 USD - $197,300 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. 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. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. 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