Top Tech Jobs & Startup Jobs in NYC, NY

Develop NLP and GenAI solutions for text classification, sentiment analysis, entity recognition, translation, and semantic analysis. Responsibilities include text preprocessing, feature engineering, model training and evaluation, exploratory data analysis, algorithm optimization, distributed processing, and collaboration with engineering and domain teams. The role also requires documenting methodologies and staying current with NLP and machine learning advancements.

Owns strategic account growth for AI engineering and enterprise modernization services. Builds C-suite relationships, originates and wins complex transformation programs, shapes multi-year roadmaps, leads pursuits and commercial negotiations, and coordinates consulting, AI, data, cloud, product, design, engineering, and technology partners. The role converts pilots into scaled programs, develops executive perspectives, builds business cases, supports mobilization, coaches leaders, and drives pipeline, bookings, revenue, margin, and account expansion.

Leads advanced and predictive analytics for an insurance client, diagnosing business performance and analyzing conversion and customer trends. Partners with underwriting, marketing, data, and engineering teams to improve business rules and outcomes. Translates complex findings into executive narratives, dashboards, and recommendations while advising senior stakeholders, promoting data storytelling, and mentoring analysts.

Lead hands-on delivery of agentic conversational AI solutions for banking IVR systems using Amazon Connect and Amazon Lex. Conduct experimentation, interaction-data analysis, model evaluation, intent and slot tuning, prompt development, and NLU performance optimization. Support LLM and GenAI capabilities, identify risks, and communicate findings and recommendations to leadership and project stakeholders.

Analyze and optimize marketing campaign ROI across channels, evaluate app and partner data, conduct funnel, cohort, attribution, and retention analyses, and develop actionable recommendations. The role requires Marketing Mix Modeling, Multi-Touch Attribution, forecasting, segmentation, and statistical analysis. The consultant will collaborate with product, analytics, engineering, and marketing stakeholders to define measurement strategies, build reporting mechanisms, and translate complex data into business insights that improve adoption, retention, revenue, and campaign effectiveness.

Drive business growth by selling consulting and technical services, managing client relationships, and collaborating with Microsoft for joint sales opportunities.

Design and maintain scalable data pipelines in enterprise-scale data warehousing projects using GCP and Python frameworks.

Manage and grow a healthcare client account by developing executive relationships, identifying AI and GenAI opportunities, shaping demand, and driving new business, sales, margins, proposals, pilots, and subscriptions. Collaborate with consulting, delivery, finance, research, and engineering teams across the U.S. and India. Translate AI capabilities, cloud services, APIs, data pipelines, and commercial models into client value propositions while supporting successful production deployments.

Lead supply chain analytics engagements: manage client teams, design data-driven solutions for demand forecasting, inventory and network optimization, drive key initiatives to closure, and provide thought leadership in supply chain analytics.

Lead Forward Deployed Engineer to design, build, and deploy production-grade enterprise AI solutions using Cogentiq. Responsibilities include integration with enterprise systems, creating connectors/APIs/SDKs, architecting cloud-native microservices, troubleshooting production deployments, and feeding deployment learnings back into the platform. Works closely with customers and cross-functional teams to translate requirements into reusable platform capabilities.