Top Tech Jobs & Startup Jobs

Lead a quality engineering team for Salesforce platforms, define QA strategy, scale test automation and AI-assisted testing, promote shift-left and continuous testing, ensure test governance, collaborate with stakeholders, perform resource planning, hiring and personnel management, and drive continuous improvement to increase delivery quality and speed.

Analyze business problems and design automated solutions, lead Workday Financials/Payroll/HCM integrations, produce specifications, manage testing and delivery lifecycle, mentor junior analysts, document processes, and provide post-production support and change management.

Lead business analysis and product lifecycle activities for AI-driven customer engagement solutions. Partner with stakeholders to define requirements, design and test AI/automation integrations (notably Salesforce/Agentforce), oversee implementations, perform system administration, and ensure solutions meet governance, quality, and user needs.

Lead and coach Agile/SAFe teams as a Scrum Lead/Project Manager III to plan, coordinate, and deliver HR and finance technology solutions. Facilitate ceremonies, support PI and release planning, manage risks and dependencies, improve delivery visibility using Jira, produce stakeholder communications, and drive continuous improvement across teams and partners.

Plan, coordinate and execute national and regional partnerships, sponsorships and events (webinars, executive forums, conferences). Manage vendors, budgets, timelines, stakeholder communications, marketing assets, onsite logistics, and post-event reporting to measure outcomes and improve processes.

Lead and evolve an enterprise design system: create scalable components, partner with engineering for accessible implementation, drive adoption, maintain Figma libraries and documentation, mentor designers, measure system health, and ensure parity between design and code across products.

Senior individual-contributor responsible for improving delivery across multiple complex enterprise technology programs. Mentor PMs, assess program health, identify and remediate risks, coordinate cross-program dependencies, enforce delivery standards, and support recovery of challenged initiatives across ERP, integrations, data, cloud, and modernization efforts.

Support and maintain Azure and/or AWS cloud infrastructure, automate deployments with Infrastructure as Code, provision and operate Azure AI services (including Microsoft Foundry), configure monitoring and security, create runbooks and documentation, participate in incident/change management, and collaborate with teams to deliver scalable, cost-aware cloud platform solutions.

Build, test, deploy, and monitor production-grade generative AI applications and APIs. Collaborate with data scientists, engineers, and stakeholders to implement RAG, prompt orchestration, vector DBs, and evaluation pipelines on AWS. Write maintainable, well-tested code and contribute to documentation, code reviews, observability, and operational best practices.

Lead product design across a product squad: define problems, conduct research, prototype, create high‑fidelity designs and workflows, advance design systems, and collaborate with product, engineering, and research to drive user-centered outcomes.