Top Tech Jobs & Startup Jobs in NYC, NY

Build and operate a modern data platform for network telemetry, including scalable ingestion pipelines, real-time event processing, workflow and rule engines, APIs, data models, lakehouse storage, observability, and lineage. Deploy services on Kubernetes using CI/CD, troubleshoot distributed systems, contribute to architecture and code quality, and collaborate with product, front-end, operations, and business stakeholders. Use AI-assisted development tools and participate in a light on-call rotation.

Administer and support JFrog and Atlassian development tooling, troubleshoot incidents and CI/CD integrations, monitor platform health, and improve reliability. The role manages upgrades, configuration changes, performance tuning, documentation, automation, migrations, and on-call support while collaborating with engineering, infrastructure, security, and DevOps teams.

Own enterprise deployments end to end, serving as the primary technical customer contact from scoping through go-live and expansion. Design integrations and data flows, configure AI agents and workflows, build prototypes, diagnose production issues, and translate customer workflows into platform capabilities. Collaborate with customer engineering, operations, leadership, and vendors while feeding field insights into product development.

Build and deploy production-grade AI agent solutions for customers. Responsibilities include identifying automation opportunities, integrating databases and third-party APIs, developing scalable services, rapidly iterating in customer environments, and collaborating with product, research, and engineering teams to shape the platform roadmap.

Research, develop, and refine predictive signals and quantitative models for systematic investment strategies. Responsibilities include sourcing novel datasets, statistical modeling, machine learning, large-scale data analysis, designing and validating trading signals, backtesting hypotheses across market conditions, and collaborating with portfolio managers to deploy successful ideas.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop scalable solutions, oversee high-quality consulting delivery, build long-term client relationships, generate new business, and manage cross-functional engagement teams and multimillion-dollar client portfolios.

Leads BetaNXT’s enterprise AI product portfolio across DataXChange and InsightX. Owns discovery, market validation, roadmap development, requirements, commercialization, launches, adoption, performance measurement, governance, and client engagement. Partners with engineering, technology, risk, legal, sales, finance, marketing, and product leaders to embed AI capabilities into existing product roadmaps. Builds an AI product team, evaluates partners, and ensures secure, explainable, auditable, and production-ready solutions for regulated financial-services workflows.

Supports private equity deal teams by building executive relationships, guiding primary research, analyzing industries and competitive landscapes, synthesizing diligence into investment insights, managing deal timelines, and preparing presentations and memoranda. The Associate also leads firm-wide initiatives to improve team effectiveness and work processes.

Supports complex commercial litigation from case development through discovery, depositions, arbitration, trial, and resolution. Manages deadlines, calendars, filings, discovery obligations, e-discovery workflows, document production, case organization, subpoenas, correspondence, and hearing or trial materials. Collaborates directly with multiple attorneys, opposing counsel, vendors, and outside parties while proactively managing competing priorities and maintaining accurate work. The role is hybrid, requiring New York City office attendance Tuesday through Thursday.

Supports the Talent Acquisition team by posting jobs, sourcing and screening candidates, coordinating interviews, maintaining ATS records, communicating with applicants, assisting onboarding, and supporting employer branding and recruitment administration.