Top Tech Jobs & Startup Jobs in NYC, NY

Own the end-to-end hiring experience and recruiting operations, including recruitment technology, analytics, automation, interviewer enablement, employer branding, and campus recruiting. Lead Recruiting Coordinators, optimize hiring workflows, partner with HR and business stakeholders, manage complex candidate experiences, and provide hands-on recruiting support when needed. The role requires improving operational efficiency and integrating AI into recruiting processes.

Own the catalysis product strategy, roadmap, and commercial expansion for an AI-driven materials discovery platform. Translate CHIPS Act objectives into product requirements and fulfillment evidence, define scientific datasets and model benchmarks, guide reaction-level modeling, and quantify customer value. Partner with scientists, program managers, business development teams, industrial customers, semiconductor organizations, catalyst manufacturers, and national laboratories. Lead segmentation, packaging, pricing, strategic partnerships, KPIs, and build-versus-buy decisions across refining, chemicals, emissions control, semiconductors, and energy-transition markets.

Lead SandboxAQ’s brand and visual design practice from the ground up. Set creative direction, develop brand systems and sub-brand architecture, design and maintain the Webflow website, and create high-quality marketing and corporate materials. Build scalable templates, asset libraries, and AI-assisted workflows while partnering with product, marketing, and go-to-market teams. Translate complex scientific and technical concepts into clear visual designs and direct external creative partners when needed.

Senior Product Designer shaping AI agent platforms for developers and enterprise users. Responsibilities include defining product direction, designing and prototyping coded experiences across command-line, web, console, collaboration, onboarding, and documentation surfaces, developing design systems, conducting user research and usability testing, analyzing product analytics, creating data visualizations, and collaborating with Product, Engineering, design, and go-to-market teams.

Own and build the AI Simulation marketing operations and analytics function, including martech architecture, campaign instrumentation, attribution, funnel reporting, lifecycle programs, lead scoring, data governance, and Salesforce integrations. Partner with Marketing, RevOps, Sales, Finance, and Product to establish trusted measurement, connect marketing activity to pipeline and revenue, and improve investment decisions through reporting and actionable insights.

Leads SandboxAQ’s global marketing events and thought-leadership program, overseeing approximately 40 annual virtual and in-person events. Responsibilities include developing event strategy, managing vendors and logistics, owning budgets and infrastructure, generating and measuring leads and pipeline through Salesforce and Marketo, reporting performance, and coordinating with Sales, executives, marketing teams, agencies, and external partners. The role also manages event materials, shipping, swag, inventory, and scalable processes.

Own and develop SandboxAQ’s intellectual property function, including patent portfolio strategy, invention harvesting, prosecution, lifecycle management, outside counsel oversight, freedom-to-operate analyses, trademark clearance, and trade secret programs. Partner with scientists, engineers, and business teams to protect innovations, inform product strategy, support transactions, and build scalable IP processes in a fast-growing AI-focused company.

Technical leader for Platform & Infrastructure building scalable, resilient cloud-native systems to support large AI workloads. Define architecture, mentor engineers, solve systemic infrastructure bottlenecks, design foundational platform services, and collaborate cross-functionally to ensure secure, high-performance operations.

Lead architecture and scaling of cloud-native infrastructure to support large AI workloads. Mentor engineers, decompose complex systems, design foundational platform services, and collaborate with product, research, and security teams to ensure secure, performant, and highly available GPU/ML infrastructure.

The Director of Product Management for AI Generation Engine will lead product strategy and execution in Finance & Risk Modeling, focusing on innovative AI solutions and close collaboration with financial services clients.