Top Tech Jobs & Startup Jobs in NYC, NY

Own the analytical function for a core business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate insights; communicate recommendations; and drive decisions and outcomes with cross-functional stakeholders. The role requires strong analytical thinking, independent data skills, persuasive communication, and ownership of ambiguous problems.

Work directly with Jerry’s CEO on high-impact business challenges during rapid growth. The GM-in-Training will gain exposure to product, growth, operations, finance, engineering, and data; execute strategic initiatives; and develop toward owning P&L for a business line. The role requires strong ownership, learning agility, resilience, urgency, and in-person collaboration in Palo Alto during the initial 6–12 months.

Own a new product bet from early concept or launch through product-market fit and scale. The role involves researching customer needs, analyzing quantitative and qualitative data, prioritizing high-impact opportunities, building and shipping products, gathering feedback, iterating, and contributing to the product roadmap. Products may span home, motorcycle, boat, RV insurance, or non-insurance ownership services.

Manage end-to-end qualitative and quantitative public affairs and corporate reputation research projects. Responsibilities include survey and screener development, research analysis, presentations, client relationship management, qualitative moderation, project fielding, timeline coordination, team mentoring, proposal development, and strategic recommendations.

Supports product allocation across full-price and outlet stores by size and location. Analyzes store and size-level selling patterns, performs replenishment and inventory transfers, coordinates shipments with distribution centers, and collaborates with buyers and store managers. Maintains allocation data, executes data cleanup, and prepares weekly and ad hoc reports to support sales and inventory turnover goals.

Drive consultative prospect engagements and technical evaluations for enterprise software solutions. Demonstrate Intapp Celeste and AI capabilities, architect solutions across the Intapp portfolio, coordinate trials, RFIs, and RFPs, and support account strategy. Maintain product expertise, demo environments, and enablement materials while partnering with sales, product, consulting, and implementation teams to ensure successful customer outcomes.

Operate and evolve a Kubernetes platform supporting AI workloads, including model gateways, agent runtimes, and GPU-based inference. Manage cloud model access, routing, quotas, cost controls, tenant isolation, infrastructure as code, GitOps, observability, security, and audit logging. Support product teams through documentation, onboarding, and troubleshooting while prototyping self-hosted model serving.

Leads a sales team while carrying an individual quota for geospatial software. Responsibilities include full-cycle B2B sales, team coaching, territory and quota planning, pipeline and forecast ownership, budget management, AI-enabled prospecting and sales operations, customer engagement, and collaboration with Product, Marketing, Customer Success, and Professional Services. The role sells GIS and AI solutions to public-sector and utility customers across the United States.

Leads UX strategy and experience design for Salesforce and connected go-to-market systems. Maps commercial workflows, conducts user research, develops reusable design standards, prototypes improvements, and partners with RevOps, RevTech, Engineering, Marketing, and Enablement. The role improves navigation, adoption, data quality, accessibility, workflow efficiency, documentation, and change adoption across global sales technologies, while measuring user experience and continuously prioritizing enhancements.

Manage the full accounts receivable lifecycle, including customer invoicing, portal submissions, payment applications, account and general ledger reconciliations, billing discrepancy resolution, collections, and AR metric reporting. The role also supports journal entries, customer record maintenance, finance projects, and continuous improvement of AR processes. This is a remote position requiring strong accounting knowledge, Excel skills, attention to detail, communication, and independent problem-solving.

Build and operate automation, monitoring, diagnostics, validation, and repair tooling for Fluidstack’s large-scale datacenter network. Own fleet health, alerting, dashboards, network qualification, incident response, and reliability across sites. Develop production tools in Go and Python using network protocols and systems such as gNMI, gRPC, NETCONF, and SONiC. Automate fault detection, ticketing, RMA workflows, transceiver tracking, and return-to-service processes.

Lead threat intelligence analysis across the full intelligence cycle, translate ambiguous questions into actionable intelligence, brief technical and executive audiences, partner with Cyber Defense and engineering to inform detection and mitigation, guide intel tooling and automation, and evolve intelligence requirements.

Work directly with the CEO on high-impact business problems across product, growth, operations, finance, engineering, and data. The GM-in-Training will help scale new business lines, navigate operational complexity, and execute growth strategies. This role offers broad exposure to company operations and is designed to develop future general managers capable of owning P&L for a business line.

Own end-to-end analytics for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; translate findings into recommendations; influence stakeholders; and drive execution toward measurable business outcomes. The role requires first-principles problem solving, strong communication, independent data work, and comfort with SQL or Python.

Own end-to-end data science and analytics for growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate actionable insights; and influence product, growth, finance, and operations decisions. The role requires strong SQL or Python skills, first-principles problem solving, independent data interpretation, persuasive communication, and ownership of ambiguous business problems.