SQL AI Jobs

Owns model monetization end-to-end—pricing, tiering, and consumption mechanics—while partnering with Enterprise and Verticals product teams on business cases, product economics, and roadmap investment decisions.

You'll own and expand the Ramp AI Index, adding metrics for token spend and AI ROI, extending research internationally, and publishing analysis for policymakers, press, and businesses.

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

Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region.

Solution sales strategy. Define the core sales motions for our solutions portfolio, and decide which ones the global field prioritizes.

Design the model architecture, choose the tooling, and develop forecasting methodologies for cash-impacting items including working capital, capex, leases, debt and interest, equity and stock-based compensation, and cash taxes.

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.

Represent the “voice of the customer” within your product space, work to connect the day to day customer experience to product and engineering teams, and bring customer insights to help teams think beyond the boundaries of what exists today.

Supplier qualification and readiness. Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release.

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

Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. When a transformer slips three weeks at the factory, a data hall slips three weeks at the site.

You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making.

Maintain full ownership of pipeline generating activities in your sales territory. Collaborate with sales teams to understand their needs and optimize lead handoff processes. Manage and prioritize a high volume of inbound leads.

Drive end-to-end delivery of technical projects from conception through launch Configure and customize business systems to meet specific organizational needs, including user permissions, workflows, and integrations.

Own the PLG strategy end to end for organizations outside direct sales coverage — across nonprofits, education, sciences, and economic mobility — as one ecosystem, one community, and one market.

Partner with Revenue Operations, Sales, and GTM Systems leaders to define, scope, and sequence the initiatives on the GTM Programs roadmap, prioritizing the work with the greatest impact on seller productivity.

Own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership.

The weekly business review, the monthly all-team meeting, monthly finance and recruiting reviews, and quarterly business reviews. The weekly review is where decisions get made, not where status gets reported.

Partner and platform billing. How usage that reaches Claude through a partner, reseller, or another platform is metered, attributed, and billed, and the program terms that go with it, so indirect volume can grow without our risk growing with it.

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

Accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines.

Support the design and execution of interventions, defining key metrics, and curating evaluation datasets. Partner with. Engineering and. Data.

Research design & scientific inquiry. Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire.

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.

Investigate evasion clusters end to end — from a single appeal or signal anomaly to the full linked actor network. Convert individual findings into durable systemic controls and detection proposals.

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

Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces.

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.