Top Tech Jobs & Startup Jobs in NYC, NY

Lead brand strategy for AIX by partnering with creative, product, design, engineering, and research teams to craft coherent product expressions and in-product activations. Develop prototypes and briefs, guide cross-group stakeholder engagement, track cultural insights and brand performance, and identify opportunities to deepen product-to-outbound marketing integration.

Lead development of high-scale experimentation platform capabilities, translating research into production features, advancing online experimentation methodology, advising cross-functional teams, and mentoring engineers and scientists to drive trustworthy AI evaluation and measurement.

Senior individual-contributor business program manager owning CRM and seller-tooling domains end-to-end. Translate field workflows into problem statements, prioritized roadmaps, launch and adoption plans, and measurable success metrics. Partner across Product, Engineering, Sales, Data, Enablement, and Support to drive implementation, measurement, and steady-state handoff while influencing senior stakeholders and maturing operating practices.

Lead applied research projects that move LLM-based code models from research to product: build and train code models, create datasets from public and internal code, run large-scale ML experiments, collaborate with product and engineering teams, and evaluate and iterate AI for developer tools.

Lead and translate AI research into developer products: build datasets from public and internal code, design and run large-scale ML experiments, train state-of-the-art models, collaborate with product teams across Microsoft and GitHub, and evaluate and iterate AI systems for software engineering.

Lead and grow a software engineering team to design, build, and operate highly available, low-latency Responsible AI and AI service infrastructure. Drive architecture and code reviews, DevOps culture, cross-team program delivery, production readiness, and service KPIs while collaborating with engineers, scientists, and product managers.

Lead product strategy and roadmap for AI-driven content experiences across Edge, Windows, Copilot and partner surfaces. Build scalable trust-and-safety systems, define policies for compliance and risk, partner with policy, engineering, data science, legal and operations, and drive cross-functional execution and metrics to reduce harm and maintain content quality at scale.

Lead product marketing for agency audiences across Microsoft AI monetization products. Define positioning, messaging, and go-to-market; drive launches, enablement, customer evidence, and market insights; partner with product, sales, and marketing to scale AI-era adtech solutions and inform roadmap via agency feedback.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.