Top Tech Jobs & Startup Jobs in Rochester, NY

Build full-funnel reporting connecting marketing activity to sales opportunities and revenue. Define attribution and shared metrics, improve lead scoring and Salesforce workflows, measure campaign ROI, and create executive dashboards in BI tools. Analyze data to uncover insights and support forecasting across marketing, sales, customer success, and revenue operations. The role requires strong analytical, marketing, stakeholder management, and SaaS experience, with curiosity about AI.

Lead complex title examinations and transactions, interpret legal property documents, resolve title issues, prepare recording documents, advise clients on title insurance, mentor junior staff, oversee support assignments, and contribute to business development.

Convert inbound leads into new business through phone calls and follow-up emails, identify prospective client needs, achieve sales closure goals, collaborate with internal teams, and maintain accurate CRM records. The role requires strong communication, active listening, problem-solving, presentation, and multitasking skills in a fast-paced sales environment.

Own multi-channel demand generation and full-funnel campaign strategy across web, social, email, search, paid media, webinars, and events. Manage paid media budgets, ABM programs, campaign calendars, testing, conversion optimization, and KPI performance. Partner with content, product marketing, events, and sales teams to drive awareness, pipeline, revenue, lead conversion, and sales enablement. Evolve SEO, AEO, and GEO strategies to improve visibility across traditional and AI-driven search.

Generates new revenue and manages select existing mid-market accounts through quota-driven telecommunications and technology sales. Sells connectivity, voice, cloud, security, managed network, and related solutions; develops proposals, manages opportunities and forecasts in CRM, submits contracts, resolves customer issues, and coordinates with sales engineering and customer care to ensure timely product delivery.

Own Everbright’s outbound sales motion, initial discovery meetings, prospect follow-up, and mid-pipeline progression for behavioral health practices. Manage the CRM, sales technology stack, pipeline reporting, sales collateral, and signature-to-launch handoffs. Build and prioritize target lists, analyze outbound performance, support account-based marketing, gather market intelligence, and represent the company at conferences. The role is remote-first with 10–20% travel and offers a path toward an independent closing quota.

Design, build, and operate production data pipelines and shared data foundations using SQL, Python, PySpark, Databricks, and cloud technologies. Develop data models, ingestion and transformation workflows, resilient processing, observability, data-quality controls, and secure customer-aware data flows. Collaborate with engineering and product teams, evaluate architecture and tooling, support analytics and application services, contribute to testing and documentation, and mentor other engineers.

Lead the architecture, development, operation, and evolution of PlayStation’s real-time analytics platform. Build scalable distributed data systems using streaming and OLAP technologies, integrate batch and streaming workloads, improve reliability and performance, and develop AI-powered engineering capabilities. The role provides technical leadership across teams, mentors engineers, drives architecture and standards, resolves production incidents, and participates in on-call support.

Lead architecture and integration of INFICON FPS Digital Twin and smart factory systems for semiconductor fabs. Design ETL pipelines from MES and equipment systems into data warehouses, support PROMIS MES implementation and upgrades, optimize system performance, troubleshoot complex high-availability issues, and collaborate with IT, operations, and engineering to drive automation and continuous manufacturing improvements.

Define the vision, strategy, and roadmap for AI-powered products. Lead use-case evaluation, requirements, experimentation, development, deployment, adoption, and continuous improvement across Generative AI, LLM, RAG, and agentic solutions. Collaborate with engineering, data science, design, and business stakeholders; establish success metrics; manage AI risks; and communicate product value, progress, and strategy to leadership and clients.