Top Tech Jobs & Startup Jobs in NYC, NY

Leads marketing insights and planning, unifying consumer, competitive, market, and dealer data into actionable strategies. Oversees segmentation, KPI dashboards, long-range and annual planning, budgeting, business cases, CDP requirements, and AI-enabled automation. Serves as chief of staff and advisor to the CMO, presents to executives and the board, and builds and mentors a multi-layered insights and analytics team.

Leads consumer research and segmentation, selecting qualitative, quantitative, or secondary methods to generate efficient insights. Translates customer needs and behaviors into marketing strategy, CDP requirements, and growth and retention initiatives. Presents actionable recommendations to executive audiences, manages research vendors, panels, and budgets, applies AI to accelerate insight generation, and builds a high-performing consumer insights team.

Leads the customer loyalty and retention function, owning lifecycle strategy, retention, gross dollar retention, and customer satisfaction outcomes. Builds loyalty programs, maps customer journeys, uses qualitative and quantitative insights to prioritize initiatives, manages budgets and external partners, and presents recommendations to executives. The role also builds and develops a high-performing team, partners cross-functionally, and drives large-scale program launches and continuous improvement.

Designs and builds scalable, reliable, observable batch and streaming data pipelines and models. Partners with stakeholders on data integration, validates data quality, writes tests, participates in code reviews, documents solutions, troubleshoots production issues, and aligns technical work with business needs. The role requires strong programming, database, data modeling, governance, and Databricks knowledge, with preferred experience in Spark, AWS data services, CI/CD, testing, orchestration, and transformation frameworks.

Leads commercialization and product marketing for pricing, profitability, and transaction-enablement products. Develops positioning, messaging, go-to-market strategies, launch plans, customer communications, and sales enablement. Conducts customer and competitive research, analyzes adoption and performance data, defines success metrics, and recommends optimization strategies. Partners with Product, Pricing, Sales, Analytics, and Customer Success teams to increase customer engagement, product adoption, and revenue growth.

The Senior Product Manager will enhance customer experiences, drive product strategies, manage lifecycle stages, and collaborate with teams to increase satisfaction and revenue growth.

The Senior Product Manager advocates for customers, enhances product experiences, analyzes data for improvements, and leads product development strategies while collaborating with technical teams.

Define and execute predictive modeling and ML strategy for credit risk, servicing, and collections. Lead cross-functional initiatives, oversee model development, deployment, and monitoring, advise senior leadership on data strategy, represent analytics in regulatory and audit forums, and mentor peers while fostering organizational partnerships.

Lead and execute ML/AI strategy, design and deploy production-grade ML and GenAI solutions, mentor MLEs, collaborate with cross-functional teams, and build scalable, secure ML/LLM platforms and inference pipelines to drive business impact.

Owns the technical strategy, roadmap, requirements, and delivery of scalable data solutions. Partners with business, product, design, and engineering teams to prioritize high-impact features, assess vendors, guide architecture, incorporate AI strategies, and resolve technical issues. The role requires strong BI and data warehouse expertise, technical leadership, stakeholder communication, agile product development, customer delivery support, and mentoring responsibilities.