Top Tech Jobs & Startup Jobs in Rochester, NY

Drive new business for Elite's financial and practice management SaaS by prospecting law firms, managing enterprise sales cycles, demonstrating ROI, and closing deals. Build relationships with attorneys and finance leaders, work with internal teams on account strategies, maintain Salesforce pipeline, and meet quarterly and annual sales quotas.

Manage ad operations and trafficking for campaigns, troubleshoot live trackers, support data preparation and client-facing technical support to ensure accurate measurement and campaign setup.

The Senior Java Developer will design, develop, and implement custom software solutions in Agile teams, mentor juniors, and ensure product quality.

The Technical Director will lead technical strategy, client engagement, project execution, and team leadership while ensuring alignment with business goals and best practices in software development.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

Lead cryptocurrency investigations by analyzing on-chain/off-chain data, conducting blockchain tracing, performing OSINT research, reviewing legal process documents, liaising with law enforcement, and training internal teams to detect and remediate illicit activity.

Lead and scale Lambda Cloud's enterprise sales organization: recruit and coach sellers, define GTM and commercial terms, manage pipeline and forecasting, align capacity allocation with customer demand, close strategic, high-value accounts, and channel customer feedback into product and capacity roadmaps.

Manage the operational workflow for pre-litigation personal injury cases in Illinois and Ohio: open claims, request and track medical records and police reports, monitor liens and subrogation, collaborate with paralegals to prepare demands, and resolve operational bottlenecks to keep cases moving.

Lead UX design for AI-driven IT operations platform, define design principles, create scalable systems, mentor a growing team, influence product strategy.

Partner with customers to design and deliver production-ready AI/ML solutions, drive POC-to-production success, troubleshoot technical issues, inform product roadmap with customer feedback, and communicate outcomes to stakeholders.