Jobs at Workday

Build and operate scalable full-stack features for Evisort’s AI-driven contract management platform. Collaborate with engineering, data science, product, and design teams to deliver user-centric SaaS solutions. Own functional areas from development through production, apply strong engineering and DevOps practices, contribute to roadmap and architecture decisions, mentor teammates, and translate complex problems into clear solutions in an agile environment.

Designs the strategy and operating framework for AI-driven demand generation and outbound prospecting. Translates business needs into functional requirements, system logic, governance guardrails, and decision trees for technical teams. Partners with Sales, SDR, Marketing, Product, and analytics leaders to align initiatives with pipeline and revenue goals. Monitors GTM AI trends, evaluates prospecting effectiveness, and recommends improvements based on conversion and performance metrics.

Provide technical support for Workday’s enterprise SaaS and AI agent platforms. Responsibilities include incident triage, root-cause analysis, performance optimization, LLM evaluation, cloud diagnostics, SQL and API troubleshooting, customer escalations, and collaboration with engineering and data science teams. The role requires monitoring critical systems, analyzing logs and traces, improving prompts and workflows, documenting investigations, and participating in weekend on-call rotations.

Drive net-new enterprise revenue by managing complex SaaS sales cycles, developing territory and account strategies, engaging C-level stakeholders, orchestrating internal teams, positioning Workday solutions, closing opportunities, and maintaining accurate pipeline and forecast data.

The Principal Program Manager will lead complex federal contracts, coordinating technical initiatives, managing risks, and ensuring effective communication across teams.

Design, build, and operate large-scale observability services for monitoring, logging, alerting, tracing, metrics, and real-time data processing. Own distributed tracing, data collection, cloud-native infrastructure, AI workflow instrumentation, and AI-driven anomaly detection. Partner with product teams on SLOs and production readiness, evaluate emerging technologies, maintain data quality, and participate in on-call support.

Serve as a trusted advisor for Financial Services customers, leading complex presales opportunities and architecting Workday solution strategies. Analyze systems, dependencies, and integrations; develop solution maps; guide sales teams; and communicate technical concepts to executive stakeholders. Collaborate with value management, services, marketing, product, and customer success teams to create differentiated customer experiences. The role requires extensive enterprise software solution consulting, cloud architecture, integration knowledge, consultative selling, product demonstrations, and travel up to 40%.

Provide hands-on architectural leadership for Workday’s observability platform and services. Define standards, best practices, and tooling across logs, metrics, traces, and alerts; lead observability agents and MCP initiatives for incident detection, triage, and recovery; ensure coverage across infrastructure types and the OSI stack; collaborate with infrastructure, operations, product, and engineering teams; and promote platform adoption across the organization.

Design, implement, and operate enterprise Active Directory, Microsoft Entra ID, and PKI services. Lead hybrid identity integrations, certificate lifecycle management, automation, security hardening, incident response, and cross-team onboarding to ensure resilient, scalable identity and certificate infrastructure.

Lead the vision, strategy, roadmap, and execution for Workday Evisort’s Contract Intelligence and Analytics portfolio. Partner with engineering, data science, design, marketing, customers, and domain experts to build and launch generative and predictive AI products. Define requirements, evaluate market opportunities, develop monetization strategies, track product metrics, and deliver contract intelligence capabilities for enterprise customers.

Provides technical customer support for Workday Adaptive Planning and AI agent workflows. Responsibilities include troubleshooting financial data, reporting, and integrations; analyzing logs, APIs, SQL queries, and monitoring dashboards; evaluating AI responses for errors and hallucinations; managing support queues and SLAs; triaging incidents; documenting issues; and escalating complex problems to engineering and product teams. The role requires customer empathy, SaaS troubleshooting, cloud platform experience, and participation in an on-call rotation.

Provide technical customer support for Workday Adaptive Planning and AI agent workflows. Troubleshoot financial data, reporting, integrations, software bugs, APIs, logs, and cloud workflows using SQL and diagnostic scripts. Evaluate AI responses and chat histories, identify errors or hallucinations, and recommend prompt or logic improvements. Manage P1 incidents, customer escalations, support queues, SLAs, and on-call coverage while collaborating with engineering, product, and leadership teams.

Develop and operate scalable machine learning runtime platforms and inference applications. Responsibilities include building Python-based frameworks, automation, microservices, infrastructure as code, containerized deployments, CI/CD and GitOps workflows, observability, capacity management, and distributed systems. The engineer partners with data scientists and ML engineers, owns features end to end, evaluates ML tooling, mentors team members, resolves operational issues, and participates in rotational on-call support for federal government environments.

Provides technical customer support for Workday Adaptive Planning and AI agent workflows. Responsibilities include troubleshooting financial data, reporting, and integrations; reviewing AI outputs for errors; querying databases; analyzing logs and API payloads; managing support queues and SLAs; triaging incidents; and escalating complex issues to engineering and product teams. The role requires cloud platform, monitoring, SQL, LLM, and ticketing experience, plus participation in on-call rotations.

Lead and deliver enterprise cybersecurity programs across product development: align cross-functional teams and executives, mitigate risks, standardize processes, run workshops, and provide executive-level briefings on KPIs, milestones, and risk mitigation to drive program delivery and agile transformation.

Own the technical onboarding and readiness of Wellness Partners—leading API integration onboarding, authentication and test-tenant setup, test-case development, and validation. Build training, documentation, and a partner certification program. Coach partners through deployment phases, provide technical advisory and hands-on tenant configuration when needed, and create playbooks and toolkits to enable repeatable, scalable customer implementations while minimizing time-to-deploy.

Designs, builds, deploys, and operates AI-powered systems that automate Workday implementation tasks. Integrates LLM and machine-learning capabilities into production products, develops reliable infrastructure and monitoring, improves performance and cost efficiency, and collaborates with product, data science, implementation, partner, and platform teams. The role also helps establish engineering standards for a growing AI discipline.

Manage concurrent Workday Financials, HCM, and Payroll implementations throughout the full delivery lifecycle. Responsibilities include project planning, staffing, budgeting, performance measurement, risk and issue management, executive steering committee presentations, customer relationship management, change orders, team mentoring, sales-cycle support, and transition to product support. The role also identifies additional service opportunities and ensures customers adopt best practices and can serve as references.

Designs, develops, and deploys Workday integrations, data migrations, reports, and analytics solutions for clients. Leads integration workstreams across requirements gathering, solution design, development, testing, and production deployment. The role requires technical consulting expertise, financials or related domain experience, leadership across software implementations, advanced Workday integration skills, and bilingual English/French communication for Canadian clients.

Build and operate full-stack features powering AI agents within HR and Finance workflows. Own user-facing experiences and backend services through production, collaborate with machine learning engineers and product teams, apply distributed systems and cloud engineering practices, and mentor teammates. The role requires Python web development, relational databases, SaaS experience, containerization, DevOps, testing, and observability expertise.