Top Tech Jobs & Startup Jobs in NYC, NY

Lead data analytics for the Hotels Travel Agency team: define KPIs, build dashboards, run A/B tests, conduct deep-dive analyses, troubleshoot tracking and data quality, and partner with product and engineering to improve data models and accessibility.

Individual-contributor Sales Operations role responsible for sales planning, forecasting, pipeline reporting, and Salesforce data governance for International Acceptance. Deliver strategic analytics and market coverage models, automate sales scorecards and MBRs, redesign sales processes, and partner cross-functionally to drive sales excellence and standardized CRM hygiene.

Lead long-term product strategy and roadmap for Business Cards & Payments, prioritize portfolio initiatives, translate customer insights into product requirements, partner across design, research, analytics, and exec leadership, drive credit and financial modeling, oversee execution and stakeholder alignment, and manage/coach a team to deliver business outcomes.

Lead enterprise-scale Generative AI programs from research to production, focusing on multi-agent conversational systems, agentic architectures, pretraining/finetuning, and inference optimization. Drive cross-functional delivery, manage technical risk, establish evaluation and deployment frameworks, partner with risk/compliance, and ensure scalable, secure adoption of AI solutions.

Lead and mentor a data engineering team to design, develop, test, and support cloud-based big data and streaming solutions. Build full-stack data pipelines using Java/Scala/Python, RDBMS/NoSQL, Redshift/Snowflake, and cloud platforms. Collaborate with product managers, perform unit tests and code reviews, and promote engineering best practices and tech community engagement.

Own operational execution for Learning & Development products: translate associate experiences into vendor decisions, prioritize feature roadmaps, break epics into MVP user stories, partner with designers, engineers and data to deliver and iterate enterprise learning platforms, and communicate roadmaps and metrics to stakeholders.

Lead a product team building ML and GenAI infrastructure and model delivery for marketing and acquisitions. Define problem statements, set 3-year roadmaps tied to business outcomes, partner with data scientists and engineers, drive reusable scalable capabilities, influence cross-functional stakeholders, recruit and mentor talent, and measure success with data-driven metrics.

Lead product efforts for machine learning-driven marketing and acquisition products. Collaborate with data scientists, engineers, and designers to define acceptance criteria, break down epics into MVP features and user stories, prioritize roadmaps, manage agile delivery, and drive stakeholder alignment to build scalable ML product platforms.

Lead L&D product strategy and roadmap to enable associate growth. Define measurable business cases, align Talent and Performance priorities, lead cross-functional teams, track outcomes, and recommend investments to scale high-impact learning experiences.

Ten-week, full-time paid Data Science internship (June–August 2027) working on machine learning, deep learning, and large-scale data analysis. Interns evaluate modeling tools, integrate internal and external data/APIs, design data science models, and present insights to stakeholders. In-person attendance at an assigned U.S. location is required; interns may be considered for full-time roles after graduation.