Top Tech Jobs & Startup Jobs

Develop and deploy large language model technologies for scalable hiring agents. Responsibilities include researching LLM solutions, integrating research into customer-facing applications, designing evaluation frameworks, experimenting with AI models and techniques, and iterating rapidly based on client feedback. The role requires strong Python, LLM evaluation, agent development, RAG, MCP, conversational AI, cloud, CI/CD, and software architecture experience.

Enable strategic GSI and ecosystem partners on Workday HCM and agentic AI: develop functional playbooks, translate roadmap into partner-ready narratives, advise on competitive positioning and regulatory risks, support demo readiness, and act as a first-line functional expert for partner HCM teams.

Design, build, automate, and operate network security controls across AWS, GCP, private cloud, and enterprise environments. Lead security architecture initiatives, implement zero trust and SASE solutions, assess infrastructure designs, and support firewalls, WAF, DDoS, and IPS/IDS controls. Partner with cybersecurity and trust teams on policies and compliance, mentor engineers, document architectures, and participate in production on-call support.

Troubleshoot and resolve enterprise software application issues across application, database, network, and integration layers. Automate service requests, perform trend and root-cause analysis, improve SLAs, reduce case volume, and identify Salesforce-related business risks. Maintain documentation and process standards while developing expertise in Workday, Salesforce, and other enterprise applications and integrations. The role also provides technical guidance, mentorship, and support for evolving business priorities.

Own end-to-end delivery, deployment, and operational uptime for cloud-based data infrastructure. Configure Snowflake, Fivetran, and dbt environments; provision platforms with Terraform; build observability and incident-response processes; enforce DataOps validation in CI pipelines; document environments and configurations; lead technical squads through engineering sprints; and develop AI-assisted automation and validation workflows.

Lead technical consulting and integration delivery for Workday Recruiting clients. Design, build, test, deploy, and support API-based integrations using Workday technologies and enterprise integration platforms. Serve as the primary technical liaison, lead solution design and discovery sessions, manage implementation lifecycles, resolve client challenges, document reusable solutions, and mentor consultants. Advise senior stakeholders while improving integration processes, tools, and delivery standards.

Drive net-new enterprise sales by prioritizing and closing opportunities, managing strategic accounts, partnering with presales and internal teams, positioning Workday solutions, negotiating with C-suite executives, and maintaining accurate pipeline and forecast data. The role focuses on selling cloud ERP, HCM, financial, planning, and analytics solutions to large enterprise customers, particularly core financials.

Develop and scale Pipedream Connect, building API and backend features that integrate Workday and third-party applications. Responsibilities include designing authentication scopes, enterprise account connections, document management, authorization capabilities, and high-volume distributed systems. The engineer will work across Go, Node.js, Rust, Rails, Kotlin, SQL, Redis, and Kubernetes; lead small engineering teams; deliver significant product features; and collaborate on testing, architecture, documentation, and technical direction.

Designs and leads enterprise AI transformations for complex Workday customers. Advises HR, Finance, and IT executives; defines AI-enabled processes, operating models, use cases, roadmaps, and adoption plans. Leads functional workstreams covering requirements, process design, configuration, data readiness, governance, and user experience. Partners with Product, Engineering, and technical teams on AI agents, integrations, security, and data models while influencing platform evolution and ensuring ethical, scalable, measurable solutions.

Designs end-to-end AI transformations for complex enterprise customers. Advises HR, Finance, and IT executives; leads requirements discovery, process design, configuration guidance, data readiness, governance, and adoption workstreams. Partners with Product, Engineering, and technical teams to align AI agents, data models, security, and integrations. The role requires enterprise consulting experience, strong business acumen, AI solution design expertise, executive communication, and travel of up to 50%.