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.

As a Business Insights Intern, you will improve and extend OpenAI's competitive intelligence system by identifying opportunities to make workflows faster, smarter, and more scalable, then lead a project that delivers measurable improvements to how intelligence is generated and used across the company. The ideal candidate combines analytical thinking, structured problem-solving, and practical execution with curiosity about the AI landscape and comfort working with ambiguity.

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 analyzing data and building statistical models to support Amazon Business's new business and new seller initiatives, while collaborating with cross-functional teams to translate business questions into actionable insights. Key skills include proficiency in Python, SQL, R, machine learning, statistical analysis, data modeling, and benchmarking to ensure data quality and infrastructure development.

This role involves analyzing historical data for trends and applying statistical and machine learning methods to solve complex business problems through experimentation and system optimization. Required skills include proficiency in Python, R, SQL, and statistical analysis, with expertise in experiment design and machine learning methodologies.

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.

This role involves designing and managing enterprise data models while collaborating with stakeholders on data strategy and ensuring compliance with governance standards. Required expertise includes data modeling methodologies (Data Vault 2.0, Kimball, Inmon), orchestration tools (Apache Airflow, DBT), cloud platforms (Snowflake), and modern data stack practices (ELT/ETL, CI/CD).

This role involves leading data transformation programs, designing data operating models, and developing data strategies while integrating generative AI into business models for enterprise clients. Key skills include business analytics, data management, consulting expertise, and the ability to mentor teams while maintaining stakeholder relationships.

This role involves analyzing structured and unstructured data to build predictive models, design experiments, and develop real-time alerts that improve recommendation and personalization systems. Key skills include statistical modeling, A/B testing, data pipeline development, and the ability to translate complex analyses into executive insights.

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 involves analyzing structured and unstructured data to build statistical models and algorithms while leading data science initiatives and translating business problems into actionable insights. The consultant will leverage expertise in machine learning, NLP, LLMs, cloud platforms (AWS, Azure, GCP), and data visualization tools to drive data-driven strategies.

This role focuses on designing and implementing A/B tests, developing data pipelines, and owning the experimentation roadmap while collaborating with product and engineering teams. Key skills include A/B testing, causal inference, Bayesian methods, Python, and statistical analysis with tools like Looker.

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 capturing structured notes on product functionality, collaborating with developers and product managers, and documenting workflows to feed into AI systems for automated documentation generation. Key skills include business analytics, data engineering, ETL pipelines, and data preparation with strong focus on testing and identifying edge cases.

Leads data science and engineering teams to build a data-centric culture, design unified data models, and drive technical excellence across the organization. Requires expertise in data engineering, machine learning infrastructure, data governance, AWS, and compliance with strong leadership capabilities.

This role involves building and deploying data and AI applications while leading data engineering teams and coordinating customer engagements for big data projects. Key skills include data architecture, Apache Spark, Databricks, cloud platforms (AWS/Azure/GCP), and technical consulting.

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.