Top Tech Jobs & Startup Jobs in NYC, NY

Lead business intelligence for Customer Experience by building trusted data pipelines, models, governance practices, monitoring systems, and dashboards. Partner with CX leaders and technical teams to define metrics, investigate customer outcomes using advanced statistics, detect anomalies with AI, and improve data quality. Manage high-impact analytical projects independently, communicate findings to technical and non-technical audiences, establish AI-assisted analytics validation standards, and mentor data practitioners.

Manage fraud operations for customers across banking, fintech, marketplaces, and real-money gaming. Analyze anomalous behavior and labeled datasets, identify fraud trends and vectors, recommend platform and rule optimizations, and serve as a fraud subject-matter expert. Own fraud and risk relationships for assigned accounts, lead recurring customer syncs, collaborate with Customer Success and Solutions Engineering, and inform new fraud product capabilities.

Build and improve backend systems, internal tools, and user-facing features in collaboration with leadership and cross-functional teams. Lead initiatives from design through delivery, create scalable and maintainable solutions, contribute to technical direction, and mentor teammates. The role emphasizes autonomy, strong communication, user-centric outcomes, and participation in a mission-driven engineering culture.

Own strategic backbone network capacity planning, procurement, forecasting, vendor negotiations, solution reviews, and regional expansion across international carrier and fiber networks. Manage capacity, resilience, diversity, documentation, and multi-site upgrade plans. Collaborate with Engineering, Operations, Supply Chain, Construction, and Product teams while mentoring planners and shaping planning processes. The role requires deep expertise in wavelength, dark fiber, network architecture, and EMEA/APAC carrier and subsea markets.

Owns the end-to-end development and launch of technical product enablement aligned with release schedules. Coordinates Product, Engineering, Marketing, Documentation, and Enablement stakeholders while managing timelines, content, risks, and priorities. Designs and delivers hands-on technical training, labs, demos, troubleshooting sessions, FAQs, and certification programs for TAMs, technical architects, Support, and Solutions Consultants. Assesses knowledge gaps and measures program impact through certifications, surveys, ticket deflection, resolution times, escalations, and technical win rates.

Leads men’s ready-to-wear design from seasonal research and concept development through commercialization and runway samples. Creates commercially strong assortments, sources materials, oversees garment development, and ensures brand consistency, quality, fit, and timely delivery. Mentors junior designers and collaborates with merchandising, product development, technical design, materials, and cross-functional teams. Presents design work and balances creative vision with market and business objectives.

Analyze product and customer behavior data, conduct root-cause analyses and A/B tests, define success metrics, build dashboards, size business opportunities, and deliver actionable recommendations to product, engineering, business, and leadership teams. The role also emphasizes data quality, governance, experimentation, stakeholder communication, and collaboration with analytics and data engineers.

Leads an analytics engineering team, setting technical direction, managing prioritization, hiring, and development. Owns the analytics roadmap across data modeling, business intelligence, and AI-enabled analytics; partners with Engineering to build reliable pipelines and trusted data foundations. Provides high-impact analysis, translates ambiguous business questions into actionable insights, and promotes data-driven decision-making across operations, marketing, product, and leadership.

Supports customer deployments of AI-powered finance products by reconciling financial data, investigating discrepancies, validating product workflows, and resolving launch issues. Works with customer accounting teams and internal Product and Engineering partners, tracks blockers, documents processes, and identifies opportunities for automation. Requires audit or assurance experience, strong accounting and spreadsheet skills, client communication, attention to detail, and willingness to work in person four to five days weekly.

Owns security engineering across AWS and Kubernetes infrastructure, including detection and incident response, automated vulnerability remediation, credential security, supply chain security, and secure AI agents. The role requires production software development and hands-on cloud-native security expertise, with opportunities to build security capabilities from the ground up for an AI-first platform.