ETL AI Jobs

Revenue Platform Architecture & Development. Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries.

Own the complete accounting lifecycle for compute and cloud infrastructure expenses, ensuring accurate and timely recording of all costs through monthly close, reconciliations, accruals, prepaids, journal entries, and flux analysis.

Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows.

Design and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types) Own the operational design and execution of the legal hold program including custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release.

Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response. Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure.

Build and scale the infrastructure and data pipelines behind Safeguards machine learning research. Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result.

Own the US international components of the quarterly and annual worldwide income tax provision: NCTI/GILTI, Subpart F, FDDEI/FDII, BEAT, foreign tax credit computations, Section 861 expense allocation and apportionment, E&P and PTEP tracking.

Own tax-related changes in the billing codebase and the billing-to-tax-engine integration, including withholding tax considerations.

Own end-to-end accounting for. Anthropic's AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Director,. Infrastructure. Supply. Chain.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs.

Design and run new evaluations of Claude's capabilities — reasoning, agentic behavior, knowledge, safety properties — and produce visualizations that make the results legible to researchers and decision-makers.

Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query.

Build and extend web platforms for RL environment creation, management, and quality review — including environment configuration, versioning, and validation workflows.

Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Build automated detection systems that use disparate signals to identify abusive behavior. Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Based on our recent go live on. Workday. Financials, you will serve as the internal functional lead for our. Workday. Financials,, owning the design and configuration of the. Financial. Data. Model (FDM),.

Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.

Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery.

Deep expertise in designing and building data warehouses and big data analytics systems. Practical experience manipulating, analyzing and visualizing data. Self-driven and motivated, with a strong work ethic and a passion for problem solving.

Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS Improve ingestion pipeline quality, reliability, scalability, and governance. Develop and optimize core data models and foundational data tables.

Design, develop and test robust Java APIs Evaluate multiple approaches and technologies to solving a problem Understand data pipeline needs and work with product managers to find solutions Compensation commensurate with experience and candidate potential.

Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.

Design, develop, test and deploy applications on Salesforce Platform. Design, develop, and implement integrations within GTM systems and with products utilizing Python-based applications.

Deliver compelling, customized demos to Enterprise prospects by building tailored environments and telling stories that resonate with their unique needs and challenges.

Lead a high-performing platform team responsible for search infrastructure (lexical & semantic), indexing (including streaming & batch data pipelines), retrieval (lexical + semantic + hybrid), and the context/memory primitives that power Notion's agents.

Work with stakeholders to discover opportunities from ambiguous problem statements, translate them into scoped solutions, and drive iterative releases from idea to adoption.