What are the responsibilities and job description for the Product Lead, AI Platform position at Rippling?
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 $1.85B 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
Rippling AI helps businesses manage HR, IT, Finance, and Payroll — not by generating plausible responses, but by writing real queries against live data, showing its work, and taking real action on behalf of customers. The hard problem now is making it trivially easy for any Rippling product team to teach the assistant new capabilities and scaling it to customers of all sizes.
In this role, you will own the platform layer that powers everything the AI Assistant can do: the frameworks product teams use to add new capabilities, the orchestration and routing layer that selects the right tools and models, and the economics of every query. You'll partner with the AI platform engineering team to turn Rippling AI assistant into an autonomous agent platform that takes real action across every Rippling product.
What You Will Do
What You Will Need
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 accomodations@rippling.com
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.
This role will receive a competitive salary benefits equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is:
192,000 - 336,000 USD per year(US)
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 $1.85B 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
Rippling AI helps businesses manage HR, IT, Finance, and Payroll — not by generating plausible responses, but by writing real queries against live data, showing its work, and taking real action on behalf of customers. The hard problem now is making it trivially easy for any Rippling product team to teach the assistant new capabilities and scaling it to customers of all sizes.
In this role, you will own the platform layer that powers everything the AI Assistant can do: the frameworks product teams use to add new capabilities, the orchestration and routing layer that selects the right tools and models, and the economics of every query. You'll partner with the AI platform engineering team to turn Rippling AI assistant into an autonomous agent platform that takes real action across every Rippling product.
What You Will Do
- Own the AI Platform roadmap, including the skills framework, routing, tool orchestration, and the reasoning loop that powers multi-step agent tasks.
- Make it trivially easy for any product team to ship AI capabilities — from read-only queries to write actions that stage payroll runs, grant system access, or reassign employees, all with proper permissions and approval flows.
- Drive model selection strategy across providers, deciding when to use which model, at what cost, for what quality bar.
- Define the evaluation and improvement strategy — how we measure agent quality at scale, catch regressions, and continuously improve with real usage data.
- Partner with 10 product teams (HR, Payroll, IT, Benefits, Finance) to onboard their domains onto the platform and make self-serve adoption easy.
What You Will Need
- 8 years in product management, with at least 2 years shipping LLM-powered or conversational AI products to production at scale.
- Deep technical fluency in LLM systems — can evaluate RAG architectures, prompt engineering approaches, fine-tuning tradeoffs, model benchmarking, and reinforcement learning strategies.
- Strong opinions on cost, latency, and quality tradeoffs in AI systems — you've managed the economics of inference at scale.
- B2B SaaS experience — you understand enterprise buyers, compliance requirements, and the gap between a demo and a product that ships to thousands of companies.
- Track record of building platforms or tooling that other teams actually adopt — you know how to design good abstractions and reduce onboarding friction.
- Bias towards action — you roll up your sleeves, write prompts, review eval results, debug traces.
- Strong alignment with Rippling's leadership principles, particularly "Push the limits of possible" and "Go and see".
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 accomodations@rippling.com
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.
This role will receive a competitive salary benefits equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is:
192,000 - 336,000 USD per year(US)