Top Tech Jobs & Startup Jobs

Lead enterprise-wide workflow redesign and integration architecture using AI, automation, and data. Architect end-to-end workflows across platforms, advise executives, drive transformation roadmaps, develop reusable frameworks, and deliver measurable business outcomes.

Lead product strategy and execution for a cloud-based Spend Management platform. Own roadmap, AI-enabled analytics, data integration, monetization, and adoption. Manage Product Managers, partner with Engineering, Sales, and Customer Success, and drive measurable revenue, retention, and ROI.

Manage design-to-delivery projects for senior living, overseeing scope, timeline, budget, procurement, quoting, FF&E installation, punch lists, billing, and stakeholder communications while using OnePlan and SharePoint.

Support site implementations, onboarding, and technical troubleshooting for the TELS Platform. Respond to customer requests, diagnose needs, run trainings, manage deployments, document solutions, collect feedback, and recommend process improvements to boost adoption and satisfaction.

Lead onboarding and implementation projects for provider and supplier clients, act as trusted advisor, gather requirements, create program plans, mentor team members, drive process automation and software adoption, resolve escalations, and coordinate cross-functional teams to meet SLAs and quality standards.

Design, build, and operate customer-facing AI systems across the full product lifecycle: discovery, prototyping, deployment, evaluation, and monitoring. Translate ambiguous customer problems into AI solutions, own system design and scalability, ship production code, and partner with product teams to apply frontier models and agent frameworks.

Lead design and execution of Spend Management programs: create intake, governance, and stage-gating processes; coordinate cross-functional pilots; use agile and OKRs to track outcomes; analyze program data; scale initiatives and drive alignment across Product, Technology, Operations, Marketing, and Success.

Design, build, and operate customer-facing AI systems across the full product lifecycle: discovery, prototyping, deployment, monitoring, and scaling. Translate ambiguous problems into technical specs, partner with product, and ship production-grade AI solutions with attention to maintainability and customer impact.

Design, build, and operate customer-facing AI systems through discovery, prototyping, deployment, monitoring, and scaling. Translate ambiguous problems into technical specs and prototypes, own system architecture and tradeoffs, collaborate with product teams, and improve tooling using frontier models and cloud platforms.

The Staff Software Engineer will lead AI-first engineering practices, architect scalable AI solutions, mentor engineers, and drive AI integration across teams.