Top Tech Jobs & Startup Jobs in Rochester, NY

Own the full enterprise sales cycle across the Midwest, from prospecting and territory planning through negotiation and close. Build executive relationships, manage complex multi-stakeholder deals, align tax technology and enterprise software solutions to customer outcomes, and exceed revenue quotas. Use AI-enabled tools and data to improve pipeline development, forecasting, and sales productivity while collaborating with marketing, consulting, sales development, and customer success teams.

Supports Revenue Operations by administering and optimizing Salesforce Nonprofit Cloud, maintaining data quality, creating reports and dashboards, analyzing pipeline and partnership trends, coordinating CRM and process training, developing documentation, and assisting with business process improvements across national and site teams.

Build and ship production AI products, including LLM coaching experiences, agentic workflows, retrieval and orchestration systems. Develop predictive, classification, ranking, and recommendation models; establish evaluation and quality processes; create trusted data pipelines and knowledge sources; and integrate AI with enterprise systems. The role requires strong ownership, safety-conscious engineering, evidence-based recommendations, and collaboration across Engineering, Product, and Data leadership.

Lead and coach an enterprise sales team while personally driving complex six- and seven-figure deals. Own forecasting, pipeline management, deal strategy, executive relationships, pricing, and escalations. Build and scale Bland’s go-to-market function through sales processes, playbooks, hiring, and team structure. Partner with Marketing, RevOps, Product, and company founders while promoting AI-enabled sales workflows.

Owns relationships with health system partners, including onboarding, executive engagement, escalations, agreements, and network strategy. Oversees data compliance, de-identification, quality assurance, technical migrations, and delivery infrastructure across partners. Collaborates with commercial, legal, data, engineering, and executive teams to ensure reliable data delivery, resolve operational risks, and communicate partner capabilities to clients.

Generate qualified pipeline for named insurance accounts through phone, email, and social outreach. Business Development Representatives partner with Sales Directors and ABM teams to map accounts, identify decision-makers, tailor prospecting to carriers and MGAs, and coordinate outreach. The role also requires learning insurance underwriting and explaining AI-native policy administration workflows. Success depends on thoughtful prospecting, strong writing, phone confidence, initiative, resilience, and consistent account planning.

Leads portfolio-level architecture across multiple products and value streams. Defines technology vision, roadmaps, standards, reusable patterns, and architectural governance. Guides distributed cloud-native solutions using microservices, APIs, event-driven architecture, and integration patterns. Partners with engineering, product, business, enterprise architecture, and vendors; supports PI planning, healthcare compliance, interoperability, modernization, and AI-enabled capabilities. Mentors technical leaders and aligns technology investments with strategic business objectives.

The Business Risk Program Manager identifies, assesses, and mitigates strategic, operational, financial, and reputational risks. Responsibilities include conducting risk assessments and partner reviews, developing mitigation strategies, advising leadership, monitoring regulatory changes, ensuring compliance, preparing risk reports, presenting findings, and using analytics for predictive risk modeling. The role requires collaboration with internal teams, external auditors, and regulatory bodies.

Coordinate end-to-end interviews across global time zones, manage Greenhouse configurations and recruiting workflows, publish weekly talent reports, track feedback and approvals, support offer-to-onboarding handoffs, and create hiring playbooks. The role partners closely with recruiters and hiring managers, serves as a key candidate contact, and improves recruiting processes and reporting.

Build and maintain reusable analytical data products, canonical entities, data marts, semantic layers, and governed metrics across business domains. Establish modeling, documentation, quality, lineage, and change-management standards; improve data reliability, self-service analytics, and production governance. Partner with Data Platform, Trust, Data Science, Applied AI, and business stakeholders on orchestration, observability, access controls, feature tables, model outputs, and shared metric definitions. Remain hands-on with SQL, Python, testing, code reviews, documentation, and technical coaching.