We detected 5,005 customers using Rippling and 356 customers with estimated renewals in the next 3 months. The most common industry is Software Development (19%) and the most common company size is 11-50 employees (38%). Our methodology involves monitoring new entries and modifications to company DNS records.
Note: We are unable to detect churned customers for this vendor, only new customers
About Rippling
Rippling unifies HR, IT, and finance applications including payroll, benefits, time tracking, device management, and expense management on a single data platform. Data flows automatically between all applications, enabling businesses to automate workflows, ensure compliance, and gain unified insights across their entire workforce.
📊 Who in an organization decides to buy or use Rippling?
Source: Analysis of 100 job postings that mention Rippling
Job titles that mention Rippling
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Based on an analysis of job titles from postings that mention Rippling.
Job Title
Share
Head of People
20%
Director of People Operations
18%
VP of People/Total Rewards
12%
Director of Finance
10%
My analysis shows that Rippling is primarily purchased by senior People Operations leaders, with Heads of People (20%), Directors of People Operations (18%), and VPs of People/Total Rewards (12%) making up half of all roles mentioning the platform. Finance leaders, particularly Directors of Finance (10%), also play a key purchasing role. These buyers are focused on scaling organizations rapidly while maintaining operational rigor. They are hiring for infrastructure roles, building teams from scratch, and repeatedly emphasizing the need to support hypergrowth with limited resources.
Day-to-day users span a broader range, from Benefits Administrators and Payroll Specialists managing employee data and benefits enrollment, to IT Engineers provisioning access and devices, to Recruiters coordinating onboarding workflows. People Ops Coordinators frequently serve as HRIS administrators, managing employee records, running reports, and ensuring data accuracy across systems. The platform supports the full employee lifecycle, from offer letters through offboarding, with particular emphasis on payroll processing, benefits administration, compliance tracking, and access management.
The pain points are remarkably consistent across postings. Companies want to "build scalable processes," "eliminate manual tasks," and "ensure accurate employee data across all systems." Multiple roles emphasize serving as "global HRIS administrator for Rippling" and maintaining "accurate employee and benefits data." Organizations are clearly seeking to replace fragmented tooling with unified infrastructure, as one posting notes the need to "select, implement, and manage tools and processes across onboarding, HRIS, payroll, and compensation systems." The recurring theme is operational efficiency during rapid scaling, with companies needing a single source of truth for people data.
🔧 What other technologies do Rippling customers also use?
Source: Analysis of tech stacks from 5,005 companies that use Rippling
Commonly Paired Technologies
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Shows how much more likely Rippling customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Rippling users have a distinctly modern, high-growth startup profile. The presence of tools like Ashby, Vanta, and Cursor tells me these are venture-backed companies that prioritize cutting-edge software and rapid scaling. They're not traditional enterprises dragging legacy systems along. They're building fast, hiring aggressively, and obsessed with operational efficiency from day one.
The pairing of Ashby with Rippling makes perfect sense. Ashby is a modern ATS beloved by startups that treat recruiting like a competitive advantage, and when you combine it with Rippling's HR platform, you get a seamless hire-to-onboard workflow. The strong showing of Vanta is equally telling. These companies need SOC 2 compliance to close enterprise deals, and they want to automate it rather than hire consultants. Similarly, Cursor appearing 73 times more often than baseline reveals these are engineering-first organizations where even the latest AI coding tools get adopted quickly.
The full stack screams product-led growth companies that have recently crossed into sales-led territory. HubSpot Marketing Hub's 21x correlation suggests they're building robust demand generation engines, while ChatGPT for Teams and Zoom Business indicate they're running distributed teams that invest in collaboration infrastructure. These aren't seed-stage companies anymore. They're Series A through C startups with 50 to 500 employees, hiring rapidly, closing bigger deals, and professionalizing operations without sacrificing speed.
👥 What types of companies is most likely to use Rippling?
Source: Analysis of Linkedin bios of 5,005 companies that use Rippling
Company Characteristics
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Shows how much more likely Rippling customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Funding Stage: Series B
27.9x
Funding Stage: Series A
27.7x
Funding Stage: Pre seed
19.3x
Industry: Defense and Space Manufacturing
8.8x
Industry: Software Development
7.6x
Industry: Computer and Network Security
7.1x
I noticed that Rippling's customers span an incredibly diverse range of industries, but they share a common thread: they're companies actually building or doing something tangible. There are software companies building AI agents and platforms, healthcare organizations providing clinical services, professional services firms offering consulting and marketing, manufacturers making physical products, and service providers from catering to solar installation. These aren't passive businesses. They're creating products, delivering services, employing specialized talent, and solving real operational problems.
The majority fall into what I'd call the scaling growth phase. Employee counts cluster heavily in the 11-200 range, with many in the 51-200 sweet spot. When funding data is available, it's typically Seed to Series B. These aren't garage startups anymore, but they're not Fortune 500 enterprises either. They're at that critical inflection point where headcount is growing fast, processes need structure, and manual HR systems start breaking down.
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