About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.8 B+ from the world's top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

About The Role

We are looking for a highly analytical and execution-oriented leader to drive key initiatives across risk, operations, and product. This role will focus on identifying opportunities to improve efficiency, reduce losses, and scale systems through a combination of data-driven insights, predictive modelling, and emerging technologies.

A core part of this role will include developing predictive models and leveraging AI—specifically designing and deploying agent-based systems—to automate workflows and enhance decision-making across the organization.

What You Will Do

Own and drive high-impact initiatives across risk, underwriting, and operational workflows
Partner cross-functionally with Product, Engineering, and Operations to identify and execute on opportunities to improve efficiency and reduce losses
Analyze large datasets to uncover trends, root causes, and actionable insights
Develop, validate, and deploy predictive models to inform decision-making across risk and operational processes
Design and implement scalable processes and systems to support business growth
Build business cases and quantify ROI for new initiatives and investments
Design, build, and deploy AI agents to automate workflows, support decision-making, and improve operational scalability
Collaborate with engineering teams to productionize models, tools, and agent-based systems
Monitor performance of models and deployed systems, continuously iterating to improve outcomes

What You Will Need

5–8+ years of experience in analytics, data science, strategy, or operations roles
Strong analytical and problem-solving skills with experience working with large datasets
Hands-on experience building and deploying predictive models (e.g., risk scoring, forecasting, classification problems) in production environments
Experience working cross-functionally and driving initiatives from concept to execution
Ability to clearly communicate complex ideas to both technical and non-technical stakeholders
Experience in risk, underwriting, payments, or financial operations is a plus
Experience building and deploying AI agents or agentic systems (e.g., leveraging LLMs, workflow orchestration, and external data integrations)
Familiarity with modern data and AI tooling (Python, SQL, APIs, etc.)

Nice to Have

Experience in high-growth or startup environments
Background in automation, process optimization, or systems design
Experience measuring and improving operational KPIs

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [HIDDEN TEXT]

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

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