Top Tech Jobs & Startup Jobs

Lead end-to-end design and delivery of production-grade LLM/agent systems embedded in enterprise products. Architect AI orchestration, integrate foundation models via secure APIs, optimize latency/cost/reliability, and implement Responsible AI guardrails for sensitive HR and financial data. Drive experimentation, prototyping, and cross-functional product execution at scale.

Drive full sales cycle for Sana AI products to enterprise customers: prospect, qualify, shape solutions, collaborate with product and engineering, engage C-level stakeholders, build outbound-sourced pipeline, and close $10K–$100K ACV deals while meeting quota.

Provide full life-cycle functional consulting for Workday VNDLY: gather requirements, configure and test VMS/ATS integrations, run demos, support deployments, mentor junior consultants, coordinate with technical teams, and report project status. Up to 25% travel; customer-facing role.

Lead day-to-day delivery and deployment of the VNDLY application for global customers. Manage mid-to-large SaaS deployments, enforce governance, run workstreams, resolve complex issues, advise leadership, manage budgets/resources, and deliver projects on time and within scope.

Provide subject-matter consulting on Workday Financial Reporting, Prism Analytics, and Accounting Center. Design, build, and troubleshoot complex financial reports and Prism data pipelines, advise on Accounting Center configuration, deliver presentations and tenant reviews, drive feature adoption, and support full feature deployments while maintaining Workday certification and product expertise.

Presales Enterprise Architect who shapes technical strategy and demonstrations for Workday's platform. Lead high-level discussions on AI, low-code, integrations, security, and reporting. Design current and future state architectures, conduct discovery and RFP responses, deliver executive-level demos, and collaborate with sales and presales teams to articulate business value.

Lead API strategy and architecture for Product Engineering, defining standards (OpenAPI, auth, error models, versioning), governance, reference architectures, and intake/prioritization. Drive cross-team API reviews, partner with platform teams, mentor senior engineers, evaluate tooling options, and ensure APIs are agent-ready, observable, and data-safe.