Top Tech Jobs & Startup Jobs in NYC, NY

Lead and scale OpenAI's employer brand strategy, crafting a credible "why OpenAI / why now" narrative. Build content, enable recruiters and hiring managers, measure brand and recruiting impact, and create an AI-native operating model across functions to ensure consistent candidate experiences from awareness through onboarding.

Lead and scale competitive intelligence by delivering executive-ready analyses, GTM enablement, pricing and product comparisons, and dashboards. Partner cross-functionally with Product, Sales, Marketing, and leadership to turn market signals into strategic recommendations that influence roadmap, positioning, pricing, and sales execution.

Partner with enterprise customers to design, prototype, and deploy production Generative AI applications using OpenAI APIs. Provide technical guidance, build prototypes, design enterprise architectures, manage stakeholder relationships, scale best practices, contribute developer resources, and relay product feedback to internal teams.

Partner with enterprise customers to design, build, and deploy production AI systems. Hands-on engineering: prototype, integrate, evaluate, and scale solutions while addressing reliability, latency, cost, safety, security, governance, and operational readiness. Produce reusable tooling, architectures, and guidance to accelerate deployments and drive measurable business outcomes.

Lead commercial execution of joint AWS/OpenAI enterprise co-sell opportunities: qualify and close GenAI and cloud transformation deals, align cross-functional stakeholders, drive executive engagement, build repeatable co-sell playbooks, manage pipeline and forecasting across strategic pursuits.

The Data Scientist, Safety will analyze safety-related data, improve classifiers, and design experiments to enhance OpenAI's product safety, partnering with cross-functional teams.

The Director of Product Finance will oversee forecasting, infrastructure spend, margin performance, and financial frameworks within OpenAI's product organization, partnering across teams to optimize resource allocation and economic outcomes.

The Data Scientist will analyze data to enhance business performance, engage customers, and optimize product strategies through experimentation and metrics establishment.

The role involves driving advertising revenue through new business opportunities, managing the full sales cycle, developing account plans, and building relationships with decision-makers while collaborating cross-functionally.

The role involves building infrastructure for AI agent execution environments, ensuring system reliability and optimizing performance at scale.