招聘
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 $1.4B+ 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
As a founding member of our new Monetization & Pricing Team within Biz Ops, you will own pricing and packaging strategies across our expanding product portfolio. This role will be focused on our Product-Led Growth (PLG) monetization motion, optimizing self-serve funnels, freemium-to-paid conversions, and paywall strategies across our suite of AI, HR, IT, and Spend products.
What you'll do
- Drive PLG monetization strategy: Work in partnership with Product, Growth, Marketing, and Engineering to design and optimize self-serve pricing tiers, free trial experiences, and freemium models that reduce friction and accelerate a user's time-to-value.
- Optimize monetization triggers: Determine the optimal pricing levers, capacity limits, and paywall interventions that prompt self-serve upgrades. Partner with Sales to price the "bridge" between self-serve usage and enterprise contracts, ensuring a frictionless commercial upgrade path.
- Conduct Deep Analysis: Lead quantitative and qualitative research—such as high-velocity A/B price testing, willingness-to-pay (WTP) studies across user cohorts, and price elasticity analysis—to optimize self-serve price points and packaging variations at scale.
- "Go and see": Immerse yourself in the buyer journey by analyzing self-serve checkout telemetry, conducting tear-downs of competitor pricing pages, interviewing users who abandoned the upgrade flow, and working directly with Growth R&D to understand monetization friction firsthand.
- Balance Cross-Functional Needs: Act as the unbiased connective tissue between Product Growth, Go-To-Market, and Finance, facilitating open debate and challenging stakeholders directly to arrive at the best decision for Rippling.
What you will need
- 6+ years of experience in a growth, pricing, business operations, management consulting, venture capital, or founder role—with a strong focus on Product-Led Growth (PLG) monetization and self-serve SaaS funnels. We will consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence.
- Deep PLG Acumen: A strong understanding of bottom-up SaaS business models and key PLG metrics (Activation Rates, Time-to-Value, PQL conversion, self-serve retention, LTV/CAC, and expansion loops).
- Naturally Analytical Mindset: You gravitate toward a spreadsheet and product analytics dashboards rather than a slide deck. Experience with SQL, product analytics tools (e.g., Amplitude, Mixpanel), and A/B testing frameworks is highly preferred.
- Cross-Functional Fluency: Experience in a highly cross-functional role with the ability to clearly describe and work within the organizational dynamics of a fast-growth company, specifically bridging the gap between Product and Sales.
- Altitude Agility: Ability to operate at all altitudes – from discussing PLG vision and board-level strategy with executives, to troubleshooting paywall logic and self-serve billing operations with individual contributors.
- Extreme Ownership: An extreme degree of ownership and grit. You do not let go until a problem is solved for good.
- Decisiveness: Ability to execute with conviction and good judgment with limited guidance; needs minimal direction in an ambiguous context to take action and then adapt quickly.
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 accommodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. 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. 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.
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关于Rippling

Rippling
Series CRippling is a privately owned international software company. Launched in 2017 in San Francisco, California, it operates a cloud-based software platform that allows businesses to manage their HR, finances, and IT matters.
501-1,000
员工数
San Francisco
总部位置
$11.25B
企业估值
评价
3.7
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
3.8
职业发展
3.3
管理层
2.5
65%
推荐给朋友
优点
Good compensation and benefits
Learning opportunities and mentorship
Great team culture and supportive colleagues
缺点
Management issues and lack of direction
High workload and pressure
Fast-paced and chaotic environment
薪资范围
2个数据点
Intern
Intern · Data Scientist
0份报告
$190,000
年薪总额
基本工资
-
股票
-
奖金
-
$161,500
$218,500
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Virtual Onsite
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Culture Fit
新闻动态
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3d ago
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3d ago
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·
5d ago