Top Tech Jobs & Startup Jobs in NYC, NY

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.

As a Sales Executive, manage the entire sales process, qualify leads, and close opportunities, focusing on enterprise subscription sales with a strong emphasis on client relationships.

Own global tax strategy, compliance, preparation, filings, tax planning, transfer pricing, and risk management. The role oversees federal, state, local, and international tax matters; manages tax calendars, nexus, sales taxability, provisions, reconciliations, and regulatory inquiries; and partners with external advisors, auditors, treasury, accounting, and internal stakeholders. The position serves as the organization’s primary tax contact and drives tax process improvements.

The SpendHound Partnerships Manager will manage and grow relationships with outsourced finance partners, drive sales through these partnerships, and enhance partner engagement and performance metrics.

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.

Owner of high-impact data products for corporate clients: design and run QA processes, investigate and resolve complex data quality issues, collaborate with Insights and Engineering, communicate with stakeholders, and identify opportunities to automate and improve workflows while mentoring peers.

Lead a hands-on data engineering team to build and scale production data pipelines, datasets, and observability for alternative-data products. Drive architecture, data modeling, QA, and AI-ready dataset design while coaching engineers, partnering with product and research, and owning operational excellence across Databricks, Airflow, SQL, and PySpark.

Own and QA high-impact retail data products: design and run QA, investigate and resolve complex data quality issues, collaborate with Insights and Engineering, improve automation and product reliability, and communicate methodology and limitations to clients.

Build and own end-to-end, production-grade full‑stack features across backend, frontend, data pipelines, and infrastructure. Collaborate with stakeholders to translate business problems into shipped software, drive cross-team initiatives, and improve tooling and code quality. Use AI coding tools daily to accelerate development and maintain reliability for customer-facing products.

As a Research Analyst, you'll drive fundamental research for subscription-based data products, analyze large datasets, and collaborate with teams to offer insights and develop new products.