Top Tech Jobs & Startup Jobs in NYC, NY

Build backend APIs, Go services, data pipelines, and agent infrastructure for Vega, LaunchDarkly’s AI-powered observability platform. Design sandboxed agent execution, usage metering, dashboard creation capabilities, and enterprise data integrations. Own features from design through production, operate high-throughput systems, contribute to architecture and code quality, mentor teammates, collaborate cross-functionally, and participate in on-call rotations.

Provide freelance English-to-French legal translation and editing for a U.S. government judiciary client. Responsibilities include translating or editing legal content using accurate U.S. legal terminology, applying CAT tools and Trados, maintaining strong organization and communication, and completing on-demand assignments during U.S. Eastern Time hours.

Design, implement, and maintain low-latency exchange network infrastructure. Configure network devices using Ansible and Python, monitor alerts, resolve incidents, perform root-cause analysis, support customer connectivity and turn-ups, validate products, engineer secure solutions, and coordinate with data center and circuit providers.

Manages hospital and entity general ledger close processes, P&L and balance sheet analysis, reconciliations, reporting, budgeting, joint venture accounting, internal controls, and variance analysis. Partners with hospital and technical accounting leadership to resolve complex issues, improve processes, standardize accounting practices, and ensure accurate financial reporting across healthcare facilities.

Lead Chess.com’s direct digital advertising sales business, owning strategy, prospecting, negotiations, execution, account management, and revenue growth. Sell web and app advertising solutions, build relationships with brands and agencies, respond to RFPs, and develop market awareness. Partner with Business Development, Product, Engineering, and Data teams to create effective, brand-compliant advertising solutions while delivering positive experiences for advertisers and the chess community.

Lead customer success programming across New Mexico, managing enterprise healthcare and government relationships, multi-site implementations, adoption, renewals, expansion, executive communications, and program outcomes. Manage and develop a team of 1–3 Customer Success Managers, coordinate cross-functional deployments, resolve escalations, represent customer needs to Product and Engineering, and improve scalable customer experience operations.

Own strategic post-implementation customer relationships for SoundStack Marketplace. Manage account health, retention, renewals, expansion, and recurring revenue while coordinating with technical, sales, product, support, engineering, and marketplace teams. Lead quarterly business reviews using revenue, audience, targeting, and market-trend insights. Develop client-specific marketing collateral, maintain publisher directories, and update AI knowledge-base and sales-enablement materials.

Provides bookkeeping, payroll, invoicing, account reconciliation, monthly reporting, budgeting, financial analysis, and administrative support for mission-driven clients. The Associate maintains accurate financial records, supports financial platforms and processes, assists with special projects, and builds strong client relationships through proactive communication. This is a fully remote role serving clients across the continental United States.

Leads the global Community Management and Customer Support vision for an unannounced live-service game. Builds player feedback loops, support operations, scalable processes, launch communications, community health metrics, and cross-functional partnerships. Establishes both functions from the ground up, manages external partners, represents player needs to executives and development teams, and guides strategy across development, beta, launch, and live operations.

Design, productionize, and scale machine learning and optimization models, pipelines, libraries, and deployment platforms. Partner with data scientists, engineers, product managers, and business stakeholders to deliver ML capabilities, personalization systems, and reusable end-to-end workflows. Establish ML engineering best practices, troubleshoot data pipelines, mentor junior professionals, and help define BetterHelp’s ML platform strategy.