Top Tech Jobs & Startup Jobs in Rochester, NY

Reviews loss mitigation underwriting decisions, approvals, denials, income and modification calculations for accuracy and regulatory compliance. Ensures files are complete, properly documented, and correctly structured in Fiserv. Tracks errors, reports trends, supports process improvements, trains new hires, and assists leadership with peer guidance and special projects.

Lead end-to-end implementations of Pinewood.AI for North American dealership accounting teams, including discovery, configuration, workflow validation, training, go-live, and hypercare. Coach users on dealership financial processes, localize training materials, support change adoption, manage multi-site rollouts, and collaborate with product and delivery teams. The role requires extensive travel across the United States and Canada and involves mentoring colleagues and improving implementation methodologies.

Own and execute Paytient’s B2B demand generation engine across paid media, email, social, webinars, events, content, and website optimization. Develop full-funnel strategies that increase pipeline volume, quality, velocity, and revenue. Build marketing automation processes, lead workflows, testing frameworks, and scalable infrastructure while partnering with Sales, Revenue Operations, brand, and product marketing. Manage budgets, agencies, vendors, AI tools, and content narratives for healthcare and employee-benefits audiences.

Lead architecture and delivery of high-throughput transactional platforms and agentic AI applications. Build Python and Go services, govern AWS infrastructure, establish engineering standards, optimize distributed systems, and lead technical design reviews. Develop multi-agent workflows, tool-calling integrations, RAG pipelines, and LLM applications. Mentor engineers, guide technology evaluations, improve observability and CI/CD, and participate in incident response and reliability initiatives.

The Director of Accounting owns technical accounting, financial reporting, payroll oversight, month-end close, audits, tax compliance, internal controls, and insurance management. The role oversees outsourced accounting and payroll teams, ensures US GAAP and SOX compliance, supports IPO readiness and M&A activity, manages multi-state payroll controls, and partners with FP&A, People Operations, auditors, and external vendors to improve financial processes.

Leads Appian’s AI and Industry Solutions product portfolio, defining vision, strategy, and roadmaps while driving customer impact and business growth. Manages, mentors, and develops Product Managers; partners with Engineering, Design, Quality, customers, and stakeholders on investment decisions, product delivery, market analysis, and lifecycle optimization. The role requires enterprise software product leadership, technical collaboration, and experience delivering customer-centric products in SaaS, automation, workflow, or industry-specific markets.

Build LanceDB’s revenue marketing function and enterprise demand engine from the ground up. Own account-based marketing strategy, segmentation, campaigns, content, account planning, martech implementation, pipeline reporting, and partner co-marketing. Identify high-intent accounts through open-source and product-usage signals, create tailored omnichannel programs, and collaborate closely with founders, Sales, RevOps, and Partners to source and influence enterprise pipeline.

Develop reproducible reinforcement-learning test environments and golden reference solutions. Produce clear code samples, debug and fix real code, build small features, improve readability, document reasoning, and review peer submissions across multiple languages and stacks.

Owns governance and operational readiness for an enterprise Salesforce transformation. The role controls go-live scope, requirements, master data quality, UAT acceptance, defect prioritization, release readiness, risk escalation, and go/no-go recommendations. It coordinates business, technology, and implementation stakeholders while enforcing disciplined change management and executive risk acceptance. The director also establishes durable governance frameworks and ensures successful data migration, deployment, and post-launch stabilization.

Build and deploy deep-learning models for financial market data, owning the full workflow from raw data and experiments through daily production inference. Responsibilities include managing small-scale GPU infrastructure, conducting leakage-proof and regime-aware evaluations, reproducing research, reading recent AI literature, and communicating findings. The role requires strong ML fundamentals, Python and PyTorch expertise, hands-on infrastructure skills, rigorous experimentation, and self-directed remote work. Trading experience is not required.