Top Tech Jobs & Startup Jobs in Rochester, NY

The Director of Product Management for ML Platform will own the product strategy and execution, mentor PMs, and collaborate with ML teams to enhance infrastructure and manage costs.

The Enterprise Sales Director will convert sales opportunities, build client relationships, conduct research, manage the sales cycle, and ensure client satisfaction while traveling up to 20% for business development.

The Engagement Manager oversees strategic relationships with BuildOps' largest clients, driving successful outcomes through complex program leadership and SaaS implementation.

The Director of AI Enablement & Applications oversees AI application in customer experience, focusing on strategy, technology, and operational excellence, ensuring AI-driven solutions improve customer satisfaction and efficiency.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

Join Adswerve's talent community for Adobe experts, focusing on data consultancy and digital marketing optimization for clients.

Lead a small team to define and execute website content strategy across multiple product sites, drive content roadmaps and operational excellence, partner with cross-functional stakeholders, and contribute hands-on to high-priority content. Scale content production using CMS, AI-assisted workflows, freelancers, and strong quality-control processes to support acquisition, conversion, and product storytelling.

Translate high-fidelity designs into production-quality UI components and maintain a code-based design system. Prototype interactions and data visualizations, build tooling to accelerate design-to-development workflows, iterate from user feedback and performance data, and collaborate with designers, engineers, product, and users to deliver responsive, accessible, high-density data web applications.

Serve as first-line member support via chat and ticketing, resolving entry-level issues (payments, loyalty), triaging and escalating complex cases, documenting interactions, collaborating with internal teams and BPO partners, staying current on product changes, and delivering patient, organized digital customer service.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.