AI Jobs

This role focuses on building reliable datasets and automating reporting processes for OpenAI's People Analytics team to support executive leadership decisions and organizational insights. Key skills include technical data automation, SQL/data engineering expertise, cross-functional stakeholder management, and proficiency with data platforms and analytics tools.

This role involves managing and optimizing data operations within ElevenLabs' engineering and product teams, ensuring data quality and infrastructure support for the company's AI voice and agent platforms. Key skills include data pipeline management, SQL/Python proficiency, cloud infrastructure experience, and strong analytical capabilities.

This role involves managing a global data stewardship team while driving process improvements, automation, and data governance frameworks to ensure enterprise customer data quality standards. Key skills include data governance, data management, data quality assurance, team leadership, and the ability to establish enterprise-wide stewardship policies.

Collaborate with sales and data science teams to create and launch machine learning model pipelines while designing experiments and analyzing business data. Develop data science solutions using Python and R, applying statistical and machine learning techniques to predict future performance and generate actionable business insights.

Build predictive delivery time models and classification models for delivery exceptions using logistics and transportation data at Amazon. Requires expertise in machine learning, feature engineering, data visualization, and statistical analysis with a Bachelor's or Master's degree.

This role analyzes sales pipeline data to identify trends and opportunities while designing AI-powered automation workflows to streamline sales operations and revenue processes. Key skills include data analysis, dashboard building, process automation, and the ability to translate data insights into actionable business intelligence for sales leadership.

This role involves analyzing data to identify cost-effective strategies, assess technology platforms for efficiency, and develop AI-driven insights across business operations. Key skills include data modeling, SQL, Python, machine learning, predictive analytics, and visualization tools like Power BI and Tableau.

Build measurement, evaluation, and feedback-loop infrastructure that makes Cursor's core agent reliably better over time, sitting at the intersection of product, data, and engineering. Design AI evaluation systems, develop analysis tooling for debugging agent behavior, and turn quality insights into improvements across model choice and product decisions.

This role spans US tax compliance and provision management, focusing on transforming traditional tax operations into a data-driven, AI-first operating model with automated workflows and intelligent tooling. The position requires expertise in tax technical knowledge, database systems, data validation, and AI-assisted process improvement.

As Hugging Face's first Data/Infrastructure Advocate Engineer, you'll bridge technical data infrastructure expertise with community advocacy, championing Xet storage and efficient dataset workflows on the Hub. You'll combine deep technical knowledge of storage systems, Parquet, and deduplication with community engagement, creating demos and tools while collaborating with internal teams to shape how developers interact with data.

This role involves shaping ChatGPT for Work product strategy through data analysis, uncovering user problems, forming hypotheses about business outcomes, and driving product decisions through rigorous evidence and experimentation. Key skills include KPI framework development, funnel analysis, experimentation design, metrics definition, and cross-functional collaboration with product, engineering, research, and finance teams.