Top Tech Jobs & Startup Jobs in NYC, NY

Conduct advanced AI research in LLM training and adaptation, multimodal systems, agentic AI, real-time reasoning, retrieval, and evaluation. Build and deploy models processing live global data at scale, transition research into production products, publish findings, mentor researchers, and collaborate cross-functionally on threat and risk intelligence solutions.

Own adoption, renewals, expansion, and customer satisfaction for North American private-sector accounts using Dataminr’s Cyber Defence offering. Develop account strategies, identify growth opportunities, build executive relationships with security leaders, deliver demonstrations and business reviews, and advise customers on platform adoption. Use metrics to manage retention risks and translate feedback into product recommendations while collaborating with Sales, Product, and Engineering and mentoring Customer Success Associates.

Lead and scale Dataminr's AI engineering efforts, translating research into production systems for real-time event detection. Oversee model performance, cost and quality metrics, collaborate with scientists and PMs, modify workflows and evaluations, and manage engineering teams to deliver large-scale multimodal ML/LLM solutions.

Sell Dataminr’s cybersecurity solutions to enterprise accounts in the TOLA territory. Responsibilities include meeting sales quotas, building pipeline through prospecting and partners, developing senior client relationships, navigating complex enterprise deals, understanding customer needs and buying processes, conducting competitive analysis, and providing product feedback to Product and Engineering teams.

Design, build, deploy, and operationalize Palantir Foundry solutions for defense and security customers. Develop data pipelines, ontology models, operator applications, integrations, and custom widgets using real-time intelligence. Debug infrastructure, networking, and application layers across cloud, hybrid, restricted, disconnected, and on-premises environments. Partner with customer stakeholders, advise technical teams, and own solutions end to end. Travel to secure customer sites and operations centers approximately 25–75% of the time.

Lead the vision, roadmap, development, and delivery of cybersecurity threat intelligence products and the Global Intel Graph portfolio. Manage large-scale intelligence data, standardize cybersecurity entities, define integrations, and partner with engineering and domain experts. Validate SME data and AI-generated intelligence through labeling, accuracy checks, edge-case testing, and customer feedback. Lead cross-functional teams, communicate strategy to executives, and build scalable capabilities that improve threat detection and response.