Snowflake AI Jobs

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.

Design and lead integrated campaigns across customer segments, establishing scalable frameworks and processes that connect digital, events, content, and ABM channels into cohesive buyer journeys.

Its roadmap, the architecture decisions inside it and its operational health. Build and deploy Salesforce automation end to end: record-triggered and screen flows, validation rules, custom objects and fields, permission sets and approvals.

Full stack development, building models to consume, transform, and expose data to stakeholders and production systems. Drive a culture of experimental design, testing agenda, and best practices.

Our Data and Analytics team is currently looking for a Senior Data Scientist to join us! You’ll be responsible for laying the foundation for a best-in-class business analytics function.

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.

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.

We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.

Full stack development, building models to consume, transform, and expose data to stakeholders and production systems. Drive a culture of experimental design, testing agenda, and best practices.

Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform. Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.

Build software that helps grow Ramp to its next millions of users. Build and scale internal platforms and applications (e.g. workflow orchestration, incentives, sales and marketing apps) that power growth across the company.