Top Tech Jobs & Startup Jobs in NYC, NY

Private equity M&A corporate associate representing sponsors and portfolio companies in sophisticated transactions. Responsibilities include managing transaction components, drafting and negotiating purchase and equity agreements, coordinating deal workstreams, advising clients, and collaborating with partners. The role requires strong private company M&A experience, commercial judgment, drafting skills, and New York Bar admission or eligibility.

Own post-sales relationships and retention for high-stakes customers, managing timelines, account plans, data migrations, usage monitoring, troubleshooting, and technical feedback. The role requires manipulating large and unstructured datasets, debugging customer issues, translating business needs into engineering requirements, and partnering closely with delivery, product, and engineering teams. It is an in-person NYC position with occasional travel and strong ownership of customer outcomes.

Own a mid-market territory targeting organizations with 750–4,999 employees. Responsibilities include prospecting, pipeline development, territory planning, product demonstrations, relationship building, negotiation, closing new business, partner collaboration, quota attainment, CRM management, forecasting, and transition to customer onboarding. The role requires strong communication, familiarity with corporate IT and cybersecurity buying processes, negotiation skills, and experience managing full-cycle sales opportunities in Salesforce or another CRM.

Supports global and localized marketing communications campaigns for a global beauty brand. Responsibilities include developing campaign plans and briefs, managing messaging calendars and asset checklists, coordinating creative and social media execution, analyzing consumer and campaign data, maintaining KPI dashboards, and providing strategic recommendations. The role partners cross-functionally with creative, product innovation, analytics, commercial, and international market teams to improve campaign effectiveness and global market share.

Designs enterprise ontologies, semantic layers, knowledge graphs, taxonomies, and metadata to support analytics, AI, and data governance. Maps business concepts to enterprise systems, establishes modeling standards, facilitates cross-functional workshops, resolves terminology conflicts, and supports data lineage and access policies. The role drives ontology adoption, stakeholder alignment, AI accuracy improvements, and delivery across Finance, Supply Chain, Risk, HR, and other corporate functions.

Designs, builds, and maintains enterprise data warehouse models and production pipelines using dbt Core, Microsoft Fabric, Azure Data Factory, and Snowflake. Responsibilities include medallion and dimensional modeling, MDM integration, orchestration, monitoring, testing, CI/CD, troubleshooting, performance optimization, data governance, and quality management. The role collaborates with BI, data management, strategy, and research stakeholders to deliver reliable analytics-ready datasets.

Leads financial planning, budgeting, forecasting, reporting, finance operations, internal controls, and long-term sustainability for the KIPP Foundation and its national school network. Oversees regional financial monitoring, systems improvement, cash forecasting, compliance, and board reporting while advising senior leaders and regional finance teams. Manages a six-person finance team and drives scalable processes, automation, and strong financial performance across multiple regions.

Own backend services for a card program, including authorization, clearing, refunds, disputes, and decline handling. Investigate transaction issues, collaborate with issuing partners, make product decisions, and measure outcomes. Improve infrastructure, CI/CD, observability, and monitoring while using AI tools to accelerate coding, analysis, investigation, and operational automation.

Own the vision, roadmap, development, adoption, and commercial success of Sportradar’s Prediction Market Feed. Lead product strategy for ultra-low-latency sports data, define KPIs, analyze data flows, troubleshoot issues, and collaborate with engineering, AI, operations, commercial teams, customers, and sports leagues. Support broader US sports data initiatives, customer onboarding, product launches, business cases, and AI-powered product opportunities while translating customer needs into scalable solutions.

Generate and qualify sales leads through outbound calls, email, chat, and marketing efforts. Educate prospects about Everflow’s partner marketing platform, maintain accurate lead and follow-up records in HubSpot, schedule appointments, and hand qualified opportunities to Account Executives. The role also involves customer-focused prospect engagement, collaboration with sales representatives, and developing expertise for future advancement within the sales team.