Top Tech Jobs & Startup Jobs in NYC, NY

Develop NLP and GenAI solutions for text classification, sentiment analysis, entity recognition, translation, and large-scale text analytics. Responsibilities include text preprocessing, feature engineering, model training and evaluation, exploratory data analysis, algorithm optimization, documentation, and collaboration with engineering and domain teams. The role requires applying machine learning, deep learning, statistical analysis, and distributed computing to extract insights from unstructured data.

Translates business and analytics requirements into technical data architecture specifications and fit-for-purpose solutions. Designs, plans, and guides data integration, modeling, quality, governance, optimization, and analytics platforms across cloud, on-premises, and hybrid environments. Applies software engineering and DevOps practices to automate and improve data flows. Collaborates with IT and business stakeholders, evaluates emerging technologies, manages competing priorities, and supports the evolution of the organization’s data ecosystem.

Analyze P&C insurance marketing, conversion, underwriting, and sales operations. Gather stakeholder requirements, document BRDs, FRDs, process flows, and user stories, and liaise between business and technical teams. Support process improvements, system enhancements, integrations, reporting, and data initiatives. Plan and execute UAT, validate solutions, and triage defects while managing multiple priorities and translating insurance concepts into actionable requirements.

Develop and operationalize generative AI workflows using Claude Cowork, train business users, facilitate workshops, and support AI adoption across business units. Translate business needs into AI-enabled solutions through prompt engineering, workflow design, testing, and validation. Create reusable templates, playbooks, and best practices while monitoring adoption challenges, prioritizing use cases, and reporting progress to stakeholders.

Lead strategic growth and account management for CPG clients, driving sales, margin, and $2M+ revenue targets. Serve as trusted advisor, shape transformation agendas, manage complex sales cycles, collaborate with analytics and consulting teams, and drive pre-sales, GTM and cross-functional initiatives.

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.

Lead large-scale Databricks, enterprise data, AI, and technology transformation programs for a biopharmaceutical client. Responsibilities include client advisory, modernization roadmaps, enterprise data and AI architecture, governance, platform design, delivery oversight, technical standards, and executive stakeholder engagement. The role guides cloud-native AWS and Databricks implementations, supports AI-ready life sciences data platforms, mentors technical teams, and drives secure, scalable, observable, and cost-effective delivery across global teams.

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 enterprise supply chain transformation and software growth by driving new logo acquisition, executive discovery, and consultative workshops; own end-to-end software sales, build business cases and pricing models, influence product roadmaps, and translate recurring operational problems into reusable software capabilities while collaborating across Sales, Product, Engineering, and Delivery.