In this role, you will partner with the Platform and Product Business Unit Product Management and Engineering organizations to deliver a transformational AI‑first implementation and adoption experience for ServiceNow’s customers. As an AI-Native AI Architect, Delivery Acceleration, you will work with the product, implementation experts, both internal and external, to design, productize, and pilot agentic & generative AI-first setup and implementation experiences.
You will lead the development and management of high-quality data labeling pipelines that support our large language models. This role involves building an internal labeling team, working closely with vendors, and designing scalable processes for data annotation. Your work will be critical to the success of our AI models, ensuring that they are trained on top-tier labeled data using crowdsourcing and other data collection techniques.
Lead Change.org’s data engineering functions, building the foundation for organizational insight, scale, and reliability, ensuring that their 50+ million monthly users, thousands of campaign creators, and internal teams have trusted, high-quality, and accessible data to drive impact around the world. The role involves owning the architecture, scalability, and performance of data pipelines, storage, and access patterns.
As a Data Scientist, you will develop machine learning algorithms, build data pipelines, and drive insights and predictive suggestions on products purchased. You will work with large amounts of data, handle data preprocessing tasks, and effectively communicate complex systems and algorithms to stakeholders.
As a Data Engineer, you’ll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements; the ideal candidate has strong SQL skills, a passion for data, a technical background and an interest in professional sports, betting & eSports.
As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you'll analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to ensure their expectations and business decision-making tool needs are met. You will create scalable and reliable data solutions through data analytics solution development.
Model, analyze, and optimize how real AI workloads run on the Tensix architecture, shaping future hardware features and ensuring every design decision delivers measurable performance gains. This role connects architecture, software, and RTL to push the limits of efficiency and scalability across next-generation AI systems. Deeply analytical engineer with strong intuition for AI workload behavior and system-level performance bottlenecks.
Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation. You will play a key role in data engineering, ensuring our infrastructure is scalable, reliable, and optimized for large-scale data processing.
We are looking for Senior Data Modeller to join our growing Costa Rica-based Analytics Team. As a Senior Data Modeller, you will develop and validate analytical solutions for diverse clients – this includes ad hoc data analysis and development of statistical models for predicting and managing the behavior of consumers. You will present results and business analysis to senior partners and support more junior team members.
You will be part of the data platform team, which enables applied research teams at poolside to build high quality and large datasets for pretraining and postraining, run large-scale experiments end to end from data retrieval to running evaluations and benchmarks. Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation.