Top Tech Jobs & Startup Jobs in NYC, NY

Own commercial relationships across existing corporate clients, driving renewals, upsells, and account growth. Build relationships with budget owners and executives, negotiate enterprise contracts, exceed sales goals, and develop product advocates. Collaborate with research, data product, and client strategy teams to deliver valuable insights and support clients’ strategic decisions.

Lead and develop a team of product managers while owning strategy, execution, and commercial performance for a portfolio of B2B data feeds. Directly manage a strategic data product, guide customer discovery, prioritize investments, partner with Data, Engineering, Quant Research, and commercial teams, and improve data quality, integration, onboarding, adoption, retention, and revenue outcomes.

Own end-to-end US payroll for 500+ employees, including multi-state compliance, tax requirements, benefits deductions, invoice reconciliation, and self-insured plan activity. Partner with Finance, People Ops, ADP, and benefits vendors to resolve discrepancies, support audits, W-2 preparation, open enrollment, and reconciliations. Maintain controls, documentation, and recurring processes while identifying opportunities to automate and scale payroll and benefits operations.

Target and break into large enterprise accounts (>$100M software spend) using outbound prospecting (cold calls, emails, LinkedIn) to generate meetings with procurement leaders. Use modern sales tools, collaborate with sales leadership and enablement, refine messaging, and develop toward full end-to-end sales responsibility.

Own high-impact data products, ingestion pipelines, and granular data feeds end to end. Analyze massive datasets to answer client and stakeholder questions, ensure data accuracy, and derive actionable insights. Improve products and pipelines by developing methodologies, scaling third-party datasets, and creating data modules. The role requires clear communication, attention to detail, methodical problem solving, prioritization, experimentation, and strong ownership. Training includes SQL, PySpark, Python fundamentals, and internal tools.

Drive discovery, development, commercialization, and improvement of alternative data products. Evaluate and source datasets, collaborate with Partnerships and Revenue teams, conduct client research, shape product strategy, communicate roadmaps, and potentially build and manage a Product Development Analyst team. The role focuses on expanding revenue and client engagement through innovative data experiences and requires strong understanding of financial client needs and data technology.

Lead revenue growth by selling alternative data feed products to quantitative hedge funds and systematic investment firms. Own the full sales cycle from prospecting and qualification through contract execution, build pipeline through outreach and industry relationships, tailor solutions with product teams, exceed sales quotas, and represent the company at conferences and client meetings.

The Product Security Engineer partners with Engineering and Product teams to embed security throughout the development lifecycle. Responsibilities include threat modeling, architecture and security reviews, vulnerability validation, remediation planning, security-tool ownership, automation, secure coding guidance, incident response, and assessing risks in cloud and AI-enabled products. The role requires strong application security, identity, authentication, authorization, coding, communication, and cross-functional collaboration skills.

The Director of Strategic Data Partnerships will identify and execute exclusive data partnerships, engaging with executives to build alignment and negotiate complex agreements. This role focuses on strategic judgment and ongoing relationship management to drive product development and growth.

Lead AI product strategy for investor workflows, building AI-native products (agents, copilots, MCPs, APIs) that turn proprietary data into reliable, production-grade investor tools. Partner with customers, engineering, design, and research to run experiments, define quality/trust frameworks, and ship 0→1 products that automate and augment investment decision-making.