Top Tech Jobs & Startup Jobs in NYC, NY

Design AI-powered consumer content and media experiences across Microsoft products. Develop end-to-end features, applying strong visual and interaction design while collaborating with product managers, engineers, researchers, and content strategists. Communicate design rationale through prototypes and presentations, contribute to design systems, ensure accessibility and inclusive design, and mentor other designers.

Develops digital marketing strategy, user journeys, web experiences, campaigns, and acquisition funnels for cloud and AI platforms. Leads customer-focused optimization through UX research, A/B testing, reporting, and data analysis. Collaborates with product marketing, engineering, and operations teams to define requirements, improve digital experiences, support lead generation, and achieve web channel goals across global markets.

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.

Leads Cloud and AI Platforms sales recommendation and marketing signal strategy. Translates business priorities, customer insights, and performance data into targeting frameworks, seller recommendations, experimentation programs, and scalable engagement strategies. Aligns Sales, Marketing, Analytics, Media, Forecasting, Performance, and Technology stakeholders, while influencing executives and driving measurable customer acquisition, pipeline, and seller effectiveness outcomes.

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.

Architect and lead large-scale AI, ML, backend, data, and GenAI systems powering Microsoft 365 Copilot. Set technical direction, design LLM architectures, drive engineering quality and reliability, collaborate with research and product teams, build developer tools and frameworks, and mentor engineers while delivering secure, scalable production systems.

Serve as a strategic HR business partner for Cloud + AI, advising leaders, diagnosing organizational effectiveness, driving talent and leadership development, applying data-driven insights and AI-enabled tools, leading strategic projects end-to-end, and delivering scalable HR solutions in partnership with HR centers of excellence and business stakeholders.

Sources and engages specialized AI and machine learning talent for Microsoft. Partners with technical leaders to define candidate profiles, analyze global talent markets, build research-driven pipelines, conduct personalized outreach, and advise on sourcing strategy. Uses technical ecosystems, market intelligence, analytics, and sourcing technology to manage complex searches, improve funnel performance, and deliver qualified candidates for frontier AI initiatives.

Design, build, and scale AI-powered tools, agents, automations, and data integrations for communications use cases. Partner with users to prototype, validate, and productionize solutions; implement security, monitoring, and human review; create reusable components, documentation, and evaluation frameworks for safety, grounding, and reliability.

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.