Top Tech Jobs & Startup Jobs in NYC, NY

Manage and grow distributor and channel partner relationships to drive B2B sales across industrial segments. Develop account and market plans, negotiate contracts, provide technical/training support, gather market intelligence, coordinate internal teams, and meet sales targets while resolving client issues.

As a Senior Analyst, you will develop data-driven solutions in collaboration with operations teams and deliver insights through reports and dashboards to improve patient outcomes.

As a Freelance Attorney with Rocket Lawyer, you will provide legal advice remotely to clients, leveraging your expertise in various legal areas and ensuring customer satisfaction.

The Senior Sales Executive develops sales strategies, manages relationships with channel partners, and drives revenue in the industrial and cybersecurity sectors.

The Backend Engineer will develop infrastructure for product integration, create documentation for team training, and influence technology decisions.

Lead end-to-end onboarding for PEO clients: build implementation plans for payroll, benefits, tax registrations and HR compliance; manage timelines, parallel payroll reconciliations, platform adoption, cross-functional handoffs, and continuous improvements to implementation tooling and documentation.

Build and productionize AI systems for logistics: multi-agent copilots, forecasting/optimization models, evaluation and observability, continuous learning loops, and operational reliability. Mentor engineers and make build-vs-rule tradeoffs while shipping high-impact ML services.

Lead architecture and delivery of enterprise DDI solutions (Infoblox-focused) including migrations, upgrades, re-architecture, and lifecycle engineering. Produce design artifacts, testing and cutover plans, and guide long-term DDI strategy. Support pre-sales with demos, discovery, POCs, solution design, and RFP/RFI responses while partnering with Account Executives to capture new business.

Lead and execute StarCompliance's data and AI strategy: build a governed data foundation, deliver production-grade LLM and ML capabilities (RAG, semantic search, vector DBs), establish MLOps, and grow a cross-functional Data & AI team aligned with product and business priorities in a regulated financial environment.

Evaluate life insurance applicants end-to-end, focusing on mortality risk. Order and review underwriting requirements, enter medical history data, finalize cases, and make advanced risk-selection decisions while meeting productivity, quality, and performance standards.