Top Tech Jobs & Startup Jobs in NYC, NY

Manage and grow key accounts in the national and military sectors, achieve sales targets, track sales data, and ensure customer satisfaction.

The Orthobiologics Business Manager will drive sales by managing a network of independent distributors, building relationships with surgeons, and achieving sales quotas for Baxter's products.

Lead day-to-day SOC operations, manage and coach SOC analysts, serve as Incident Commander for major incidents, enforce playbooks and QA, drive SLA performance and KPI reporting, and implement process and tooling improvements to mature SOC capabilities in a 24x7, shift-based managed services environment.

Lead and scale Relay's influencer marketing end-to-end: strategy, team management, high-value creator relationships, creative direction, measurement and budget ownership across paid, organic, UGC, and ambassador models.

The Technical Enablement Manager will develop onboarding and training programs for technical sellers, create learning materials, and partner with Customer Solutions to enhance sales effectiveness through enablement initiatives.

As Controller, you will lead global accounting and controls, ensure compliance, manage audits, lead a team, and improve systems for financial operations.

Lead the organization's financial management, oversee accounting and payroll, ensure accurate accrual-based financial statements, maintain internal controls, manage budgets and audits, liaise with external funders and auditors, present financials to the CEO and board, and identify growth opportunities.

Conduct proactive outreach to warm leads, manage full sales cycle from initial contact to close, build and nurture client relationships, meet daily and monthly performance targets, and collaborate with internal teams to deliver consultative debt-resolution financial solutions.

Design, develop, test, and deploy complex Salesforce solutions. Customize objects, Lightning components, and workflows; build integrations using APIs/middleware; perform code reviews, troubleshooting, optimization, and stakeholder collaboration to meet business requirements.

Lead design, training, and deployment of large-scale ML models (LLMs, diffusion, GNNs). Own end-to-end training pipelines, distributed training, evaluation, and inference architecture. Collaborate with data and infra teams, drive reproducible model development, and provide technical leadership and mentorship from research through production.