Top Tech Jobs & Startup Jobs in NYC, NY

Leads Bridge33 Capital’s real estate investment function, including acquisitions, dispositions, fund capital deployment, portfolio construction, underwriting, transaction structuring, and investment committee recommendations. Builds industry relationships, manages investment pacing and concentration, collaborates across asset-management functions, and leads the Investments team. Requires extensive open-air retail real estate experience, advanced financial modeling, complex transaction expertise, and a proven investment and team-leadership record.

Leads private equity growth opportunities from initial discussions through solution development, proposals, and close. Builds executive relationships, translates business priorities into data, analytics, AI, and technology initiatives, coordinates internal experts and delivery teams, and ensures successful pursuit-to-execution transitions. Develops go-to-market materials, expands existing relationships, creates repeatable offerings, and helps establish scalable channel processes and operating structures.

Manage a portfolio of strategic enterprise clients adopting and scaling Nexis+ AI. Build executive relationships, lead onboarding, adoption, success planning, QBRs, expansion, renewals, and risk mitigation. Partner cross-functionally with Sales, Product, Support, and Engineering to advocate for clients and influence the AI roadmap. Drive change management, training, best-practice enablement, and value realization while tracking usage, adoption, NPS, churn, and account health.

Leads organization-wide clinical education and training for behavioral health staff. Responsibilities include assessing training needs, developing evidence-based programs and calendars, facilitating in-person and virtual sessions, managing the LMS, tracking compliance, supporting audits, coordinating vendors and academic placements, and directing opioid overdose prevention initiatives. The role requires an active New York State behavioral health license and ensures alignment with OASAS, NYSED, regulatory, and organizational standards.

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.

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.