Compensation Intelligence Lead
Basis Set Ventures (Basis Set) is an AI-native venture capital fund founded in 2017 that invests in early-stage AI companies, positioning itself as the first capital for founders. The firm backs startups across automated workflows, autonomy, intelligent collaboration, and scalable infrastructure, serving early-stage AI founders and startups as its typical clients.
About Basis Set Ventures
Basis Set Ventures is an AI-native venture fund founded in 2017, built on the science of minds and machines, that recently announced its $250M Fund IV. The firm positions itself as the first institutional capital for founders and provides hands-on, 24/7 'founder concierge' support, acting as its portfolio companies' first customer, sales rep, bug reporter, and recruiter. It invests in AI-first startups spanning categories such as automated workflows, autonomy, intelligent collaboration, and scalable infrastructure, with portfolio companies including Quince, Cusp, Path Robotics, OpenArt, Entire, Tigris Data, Mem0, Vizcom, Simular, and Sakana. Basis Set also publishes original research and perspectives on topics like trucking operations, global customs, maritime transport, real estate, agriculture, and AI agent infrastructure, and runs a Basis Set AI Fellows program for individuals to work on hard problems within the firm and its portfolio companies. Its typical clients are early-stage, AI-native startup founders across a range of industries including consumer, infrastructure, robotics, and enterprise software.
Skills
About the Role
You will design and construct the data systems, automated pipelines, and AI-powered tooling that power how compensation decisions are made — from offer to equity refresh to market benchmarking. You will report to the Head of Global Rewards and partner closely with Talent, Finance, and Legal. You will build custom tooling that integrates people systems into a unified live data environment, design automated benchmarking processes, and build AI-powered workflows that automate manual compensation tasks. Over time, you will develop broad exposure to the full Total Rewards portfolio, including benefits and wellness programs.
Requirements
- Demonstrated experience actively building with AI tools — prompting, scripting, or constructing workflows with LLMs or AI APIs
- Experience in compensation, total rewards, or people analytics — or a demonstrated curiosity about how compensation works and a track record of picking up new domains quickly
- Strong proficiency in data tools and scripting (Python, SQL, or similar) to build automated pipelines, custom integrations, and analytical tooling
- Proven ability to work with large, complex datasets and translate findings into clear, actionable outputs for non-technical stakeholders
- Experience working with HRIS, ATS, or people systems (e.g., Rippling, Greenhouse, Pave, Radford, or equivalents)
- Comfort operating in ambiguity and building processes where few or none exist
- Clear communication skills; able to make complex data legible to business partners across Finance, Legal, and People
- Familiarity with global compensation frameworks and multi-geography pay structures
- Experience with equity compensation administration, including grant approval workflows
- Background in data engineering, BI tooling, or building internal dashboards
- Prior experience in a high-growth technology or e-commerce company
- Experience scoping or implementing agentic AI workflows in an HR or People context
Responsibilities
- Architect and build custom tooling that integrates Rippling, Greenhouse, Pave, and Radford into a unified, live data environment
- Design and deploy automated benchmarking and comp structure processes, including real-time market data scraping, monitoring pipelines, and trend surfacing
- Build and maintain AI-powered workflows that automate manual compensation processes and surface actionable intelligence to stakeholders
- Support the annual compensation review cycle, including data modeling, system administration, and manager-facing deliverables
- Own the monthly equity grant approval motion, partnering with Finance and Legal to execute on time and in compliance
- Collaborate with the Talent team to scope, build, or implement an agentic offer evaluation tool that surfaces comp recommendations in real time
- Analyze compensation data across all employee types and geographies to identify trends, surface anomalies, and inform decisions
- Develop familiarity with the broader Total Rewards portfolio, including benefits and wellness programs, to support holistic comp philosophy and employee-facing communications
- Partner with the Head of Global Rewards on global comp strategy, job architecture, and leveling