Top Tech Jobs & Startup Jobs in Rochester, NY

Design and own end-to-end AI solution architectures, build rapid prototypes, translate business requirements into technical specs, recommend AI stack components, enforce architecture standards, lead technical discovery, guide AI engineers, and contribute reusable IP across client engagements.

Support and maintain integrations between Laurel and client ERPs/PMS (notably SAP S/4HANA). Build and test Boomi processes, monitor integration health, respond to alerts, troubleshoot data flows, perform root cause analysis, and serve as Level 2 escalation. Coordinate migrations, communicate with client technical contacts, document processes, and collaborate with Principal Engineers and product teams to resolve complex issues and improve reliability.

Support People & Culture by running employee development follow-ups, driving engagement and onboarding improvements, assisting HR administration, aiding hiring and interviews, tracking People KPIs, and reporting to leadership to foster growth, recognition, and a strong company culture.

Manage a portfolio of Workday Finance clients: scope, plan, configure, test, and deploy Workday Financials solutions. Lead project delivery, coach and evaluate consultants, maintain client relationships and satisfaction, contribute knowledge resources, and meet KPIs in a fast-paced environment.

Supervise a team of Warranty Accounting Specialists to ensure accurate, timely warranty accounting, reconciliations, and compliance with OEM and client standards. Manage performance, training, staffing, escalations, quality audits, and cross-team collaboration to prevent churn and maintain service-level deliverables.

Serve as primary client contact to drive successful SaaS implementations and adoption for community-based organizations. Oversee configuration, deliver training, monitor usage and satisfaction, troubleshoot issues, and collaborate with Sales and Product to optimize outcomes and retention. Proactively identify risks and opportunities to improve client outcomes.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Customer-facing technical role owning merchant integrations from pre-sales through launch and post-launch support. Design API/SDK integrations, lead demos, write proposals and RFP responses, validate and troubleshoot sandbox and production integrations, and produce integration documentation and runbooks. Focus on enterprise merchants across web, mobile app, and in-store channels.

Lead high-complexity, multi-workstream software implementations for tier-one banks; own end-to-end delivery, stakeholder escalation, risk/compliance management, SOWs, UAT, and mentor project managers while driving client satisfaction and business growth.

Support high-touch Smart Replenishment accounts by owning inbound customer communication, driving operational workflows, creating tickets, participating in meetings, maintaining documentation, and performing basic technical configurations using the Crisp platform and AI tools to streamline processes.