Top Tech Jobs & Startup Jobs in NYC, NY

Work directly with the CEO on high-impact business problems across product, growth, operations, finance, engineering, and data. The GM-in-Training will help scale new business lines, navigate operational complexity, and execute growth strategies. This role offers broad exposure to company operations and is designed to develop future general managers capable of owning P&L for a business line.

Designs, delivers, and maintains onboarding, role-specific, systems, certification, and upskilling programs for Client and Provider Support. Creates eLearning and instructor-led materials, facilitates training, administers LMS assignments and completion tracking, evaluates effectiveness using performance data, and improves curricula. Partners with leadership and subject matter experts to address skill gaps, support process changes, and communicate training outcomes.

Supports U.S. corporate tax compliance, reporting, accounting, audits, tax research, planning, and transfer pricing across domestic and international entities. Responsibilities include preparing tax filings, reviewing state and local returns, supporting tax provisions under IFRIC 23, reconciling tax accounts, responding to tax authorities, managing filing calendars, monitoring tax developments, and partnering with finance and global tax teams on process improvements.

Generate net-new revenue by managing the full sales cycle for startup customers, from prospecting and discovery through demonstrations, onboarding, and closing. Build relationships with founders and finance executives, manage inbound and outbound pipelines, exceed quotas, develop strategic revenue plans, and collaborate with Startup Ambassadors for referrals. The role requires working three days weekly in Brex’s New York City office.

Leads Fastly’s Platform Security organization, defining multi-year technical strategy and roadmaps for foundational infrastructure, secrets, identity, PKI, and trust services. Manages engineering teams and principal-level contributors, drives reliability and security best practices across the organization, establishes metrics and accountability, and communicates strategy and risk to executives. Requires deep experience with distributed systems, infrastructure as code, Linux, cloud and on-premises environments, and security technologies. Coding is not expected, but strong technical expertise is essential.

Provides attorneys with legal administrative and clerical support, including document production, scheduling, client communication, calendar and docket management, file maintenance, proofreading, billing support, mail coordination, conflicts checks, matter setup, engagement letters, and expense reporting.

Manage client relationships and fund administration for private credit funds. Oversee partnership allocations, investment transactions, management fees, cash reconciliations, financial statements, GAAP compliance, and performance metrics including IRR, MOIC, TVPI, RVPI, and DPI. Translate partnership agreement terms into accounting treatments, improve controls and processes, and communicate results to clients and investors.

Leads strategic relationships with major financial services and capital markets customers. Owns account strategy, P&L, growth, profitability, renewals, executive engagement, sales execution, and opportunity expansion. Develops customer solutions, builds partner pipelines, coordinates sales teams, and ensures account compliance, satisfaction, and delivery excellence.

Supports wine and beverage alcohol sales execution across the NYC Metro on-premise channel. Responsibilities include lead selling, account management, distributor relationship management, sales meeting leadership, program and product-launch execution, market surveys, budget administration, inventory and reporting tasks, and compliance with company and state requirements. The role requires routine territory travel, overnight stays, distributor and account support, and collaboration across sales teams.

Own strategy and roadmap for Crunchbase's customer-facing AI data layer. Identify and validate model-derived data products, lead cross-functional development, set quality standards, drive adoption and monetization, and monitor performance and product economics.