Top Tech Jobs & Startup Jobs in NYC, NY

Supports HR operations by advising managers and employees, conducting onboarding, handling policies and documentation, and coordinating dispute resolution. Oversees general affairs, facility operations, lease vehicles, vendors, invoices, space planning, employee events, SOPs, bilingual communications, and management reporting. Requires Korean-English fluency, supervisory experience, budgeting skills, and proficiency with Microsoft Office.

Leads client services and cross-functional delivery teams supporting enterprise software implementations. Oversees end-to-end project execution, client relationships, business-process transformation, stakeholder education, requirements documentation, and ongoing value delivery. Applies revenue growth management expertise across pricing, trade promotions, assortment, or supply planning, while collaborating with technical teams on AI, machine learning, and analytics solutions.

Own end-to-end product design for Gladly’s AI Agent Harness, including configuration, steering, evaluation, reporting, simulations, and oversight tools. Develop and maintain the shared design system, define solutions for ambiguous problems, prototype rapidly with AI-assisted tools, and elevate the quality of engineer- and AI-generated interfaces. This senior individual contributor role requires strong generalist product design skills, systems thinking, polished visual craft, and experience designing trustworthy, controllable AI-native experiences.

Leads Helm’s client support function for payer and TPA relationships, including SLA ownership, issue triage, escalation, client communications, onboarding, and support-team development. Partners with Client Delivery, Product, Data, and Engineering to resolve issues, improve employer-group implementations, and translate client feedback into product priorities. Builds scalable support processes and relationships with client operations and IT leaders in a healthcare technology environment.

Own the full sales cycle across mid-market and enterprise accounts, with a strong emphasis on outbound prospecting, pipeline generation, account planning, consultative demos, and closing. Build relationships with prospects, develop new verticals, collaborate with partnerships and cross-functional teams, maintain accurate Salesforce pipelines, and drive ARR growth using consultative and challenger sales methodologies.

Owns the design, development, testing, deployment, and maintenance of production software. Builds C#/.NET backend services, Angular web applications, and .NET MAUI mobile apps; optimizes SQL Server databases; resolves production issues; improves reliability, security, performance, and observability; writes tests and documentation; participates in code reviews; and translates ambiguous business needs into maintainable technical solutions.

Process accurate, compliant payroll for multiple clients across varying frequencies and multiple states. Responsibilities include validating and balancing payroll, managing off-cycle payments, supporting tax filings and year-end activities, resolving discrepancies, maintaining payroll configurations, improving processes, documenting procedures, managing client relationships, and meeting billable utilization targets.

Drive net-new business and revenue growth by prospecting, managing territories, leading technical discovery conversations, and closing enterprise SaaS/PaaS deals. Own the full sales cycle, quota, forecasting, and pipeline management while engaging technical and executive stakeholders. Collaborate with sales development, sales engineering, professional services, and customer success teams to deliver an effective buyer journey.

Own significant product areas from customer problem discovery through solution definition, prototyping, shipping, measurement, and iteration. Build AI-powered prototypes and production products using tools such as Claude and Cursor, engage directly with customers and commercial stakeholders, lead small squads, influence product direction, and contribute to an AI-native product engineering culture.

Define clinical reasoning, safety boundaries, evaluation scenarios, datasets, rubrics, and acceptance thresholds for AI-enabled chronic disease products. Analyze failures and edge cases, support clinical validation and outcomes research, interpret clinical and EHR data, and collaborate with Product, Engineering, AI/ML, Data, informatics teams, and clinical stakeholders on integrations and workflows.