Top Tech Jobs & Startup Jobs in NYC, NY

Coordinate high-volume global recruiting logistics, including interview scheduling, candidate communication, travel arrangements, and ATS management. Serve as a point of contact for candidates and stakeholders, support multiple recruiting functions, maintain strong relationships, and help ensure interviews run smoothly and on time. The role requires organization, multitasking, urgency, professionalism, independent problem-solving, and a strong focus on candidate experience.

Develop and apply rigorous advertising measurement methods, including attribution, incrementality testing, experimentation, and marketing mix modeling. Partner with sales, advertisers, agencies, product, engineering, and data science teams to interpret results, improve media performance, onboard measurement partners, and build scalable privacy-forward reporting programs and tools. Conduct auction optimization analyses and communicate complex statistical insights to technical and executive audiences.

Own SMB commercial sales from discovery through close, onboarding, and expansion. Build pipeline, lead consultative discovery, connect customer priorities to ChatGPT and the OpenAI API, and manage business, technical, and executive stakeholders. Maintain forecasts, achieve revenue and adoption targets, identify expansion opportunities, and collaborate with internal teams on complex commercial processes. Provide market insights and help develop scalable sales systems, processes, and playbooks.

Build and deploy AI systems for legal customers, from workflow discovery and proof of concept through production adoption. Embed with law firms, develop full-stack solutions, guide customer adoption, contribute production code, and create reusable tools and deployment patterns. Translate customer needs into product feedback and collaborate with Research, Product, GTM, risk, compliance, and executive stakeholders. Deploy reliable LLM-powered systems with appropriate evaluation, guardrails, and operating standards.

Leads and develops a team of Applied AI Engineers driving Codex adoption for strategic customers. Oversees technical engagement strategy, AI-enabled development workflows, agentic systems, evaluations, architectures, and implementation challenges. Partners with Sales, Product, Research, and Engineering to translate customer needs into product insights and reusable technical patterns. Serves as a senior technical advisor, coaches engineers, establishes operating models and best practices, and champions safe, reliable AI adoption.

Lead the Solutions Architecture team, managing complex implementations of AI solutions, mentoring technical staff, and aligning customer needs with product roadmaps.

Build scalable data models, pipelines, metrics, dashboards, analytical tools, and self-service data products for Go-to-Market teams. Partner with stakeholders to solve ambiguous business problems, establish data strategies, operationalize trusted metrics, and communicate insights through persuasive narratives. Own data products from exploration through production and maintenance, balancing immediate needs with long-term scalability while applying strong analytics engineering practices and AI-assisted development tools.

Leads global mobility and immigration strategic initiatives, including U.S. permanent residence, PERM, M&A, organizational change, global expansion, and compliance. Builds governance, playbooks, controls, dashboards, and scalable operating models; manages external counsel and vendors; and partners cross-functionally with Legal, Corporate Development, Recruiting, People, Finance, and business leaders. Uses data, systems, automation, and AI-enabled tools to improve compliance, efficiency, service quality, and employee experience.

Build and deploy AI systems for legal customers, embedding with law firms to identify high-value use cases, prototype solutions, and drive production adoption. Own technical delivery from discovery through deployment, build full-stack systems, guide customer adoption, codify repeatable tools and patterns, and provide feedback to Product and Research. The role requires customer-facing engineering ownership in regulated environments, production-grade coding, LLM deployment, evaluation, guardrails, and cross-functional communication.

Design and maintain Workday integrations and applications for critical HR workflows. Collaborate with teams to improve reliability, scalability, and performance of People systems.