Full-Time
Mid Market Account Executive
Posted on 6/10/2026
Rippling
5,001-10,000 employees
Unified HR and IT management platform
No salary listed
Bengaluru, Karnataka, India
Hybrid
Three days in office per week required.
 Sales & Account Management (1) |
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- 3+ years of B2B SaaS sales experience, with a track record of carrying and hitting meaningful quota
- Demonstrated success as a consistent top performer
- Experience selling HRIS/HCM, payroll, or global payroll products is a strong plus
- Comfort operating in a fast-paced, ambiguous environment where you help create the process
- Strong communication skills and fluency in English
- Location: Based in Bangalore. Rippling operates on a hybrid model - 3 days per week in the office.
- Join the India sales team to build and scale our presence across the full Rippling platform
- Sell the complete suite - Global products (EOR, Global Payroll, Contractor Payments), Core Platform, Local Payroll, ATS, and Performance Management - across both global-expansion and domestic consolidation motions
- Run end-to-end sales cycles from discovery and demo through close
- Consistently close business and achieve quota attainment
- Manage and forecast pipeline with discipline and accuracy
- Become a product expert across our entire platform and develop deep command of the competitive landscape
- Partner closely with the Account Management team to ensure a smooth transition for new customers
Rippling provides a unified SaaS platform that combines HR and IT management. It automates payroll, benefits administration, employee data management, and app/device provisioning, all within one system. The platform integrates these functions so businesses can handle HR and IT tasks from a single interface, with automation and connections to other business apps. Its approach centers on offering a subscription-based service that includes core HR tools plus optional services like device management and broker partnerships. Rippling aims to reduce administrative overhead and improve operational efficiency by keeping HR data, payroll, benefits, and IT management in one place.
Company Size
5,001-10,000
Company Stage
Series G
Total Funding
$1.8B
Headquarters
San Francisco, California
Founded
2016
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See people who can refer or advise you
Simplify's Take
What believers are saying
- Rippling launched AI Spend Console on August 6, 2026, riding enterprise AI governance demand.
- TechCrunch reported Rippling cut AI token spend from 40% to 15% after internal controls.
- Rippling raised $450 million at a $16.8 billion valuation in May 2025, funding expansion.
What critics are saying
- Deel’s April 2026 counterclaims and the ongoing California RICO case distract management through 2027.
- AI Spend Console exposes Rippling’s own runaway token costs, squeezing margins if enterprise usage surges.
- A lost Deel trial or injunction over trade-secret claims would damage Rippling’s credibility with buyers.
What makes Rippling unique
- Rippling’s Employee Graph links HR, IT, finance, and app data across one system.
- AI Spend Console ties token usage to employees, teams, GitHub, and Salesforce outcomes.
- Rippling sells modular products, letting customers buy payroll, compliance, banking, or AI tools separately.
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Benefits
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↑ 1%Rippling launches AI Spend Console to track AI usage and measure enterprise ROI. Workforce management platform Rippling has launched its new AI Spend Console, an advanced capability designed to help enterprise leaders gain complete visibility, governance, and return on investment (ROI) tracking over their organization's artificial intelligence expenditures. Built directly upon the recently released Rippling Data Cloud and unified with the platform's Employee Graph, the solution moves beyond passive consumption dashboards by actively linking model usage across platforms like Claude, Cursor, and Codex to specific workforce identities, departments, and operational outputs in connected systems such as GitHub and Salesforce. This deep contextual integration allows IT, HR, and finance administrators to enforce token spend caps, restrict unauthorized model access, and route prompts to the most cost-effective models without hindering developer or employee velocity. Highlighting the critical need to actively manage and justify AI investments, Matt MacInnis, Chief Product Officer at Rippling, noted: "Looking at a dashboard of AI spend shows you a problem, but doesn't offer you a solution. That's a recipe for anxiety. Our AI Spend Console goes two steps beyond that. First, we give you a way to govern expenses with our AI gateway, so you can keep people from editing slide decks with Fable. And second, we give you a way to map it back to business outcomes, so you know what usage is generating real ROI." Underscoring the broader business imperative of linking consumption directly to tangible enterprise output, Adam Swiecicki, Chief Financial Officer of Rippling, stated: "The question isn't how much you are spending on AI. It's what your AI spend is producing. Until you can answer that, you're just managing costs - not outcomes."
Rippling launches AI Spend Console to track AI usage and ROI across the business. Connects AI spend with workforce data, and closes the loop with AI model controls and routing. Rippling announced AI Spend Console, a new capability that helps companies understand and control AI spend. Unlike other systems that passively report on token consumption, Rippling's AI Spend Console includes advanced employee usage insights and a gateway that actively controls and shapes AI usage in your company. Customers are invited to join the waitlist starting today. The question isn't how much you are spending on AI. It's what your AI spend is producing. Until you can answer that, you're just managing costs - not outcomes. As AI adoption charges forward across every business, leaders urgently need visibility into AI spend: how much, by whom, and whether it's paying off. But there's no way to track these expenses or link them to productivity improvements. Rippling's AI Spend Console provides leaders a clear view of AI spend, showing exactly which models are being used by which departments and teams. Administrators can enforce policies on token spend and AI model access, and route every AI request to the most cost effective models. It's the control layer companies have been missing as AI moves from experiment to infrastructure. Rippling AI brings an entirely new level of insight to the problem. Using the power of Rippling Data Cloud, Rippling AI can answer sophisticated questions about the nature of AI spend in your company. It's far more powerful than the static dashboards of existing solutions. Rippling's superpower of employee identity further amplifies the value of AI Spend Console. It connects AI usage data with employee identity and business data from across your company's systems. It gives leaders a continuous view of spend across tools like Claude, Cursor and Codex, and then measures that spend against signals from systems like GitHub or Salesforce. Rippling identifies not just who is consuming tokens, but what that spend is producing: pull requests, code velocity, and even revenue contributed. "Looking at a dashboard of AI spend shows you a problem, but doesn't offer you a solution. That's a recipe for anxiety," said Matt MacInnis, Chief Product Officer at Rippling. "Our AI Spend Console goes two steps beyond that. First, we give you a way to govern expenses with our AI gateway, so you can keep people from editing slide decks with Fable. And second, we give you a way to map it back to business outcomes, so you know what usage is generating real ROI." AI Spend Console builds on the recently released Rippling Data Cloud, which connects third-party business data to Rippling's Employee Graph, a record of employees, departments, roles and reporting lines. By integrating data from sources such as Salesforce and GitHub with employee information, Rippling AI gains a fuller understanding of the organization and can act on unified data, the foundation for visibility into AI spending. That same foundation generates permissioned dashboards across a company's connected data, so leaders can move beyond a static report: drilling into spend and usage patterns, asking follow-up questions in natural language and customizing charts, all without writing SQL or waiting on a data team. "The question isn't how much you are spending on AI. It's what your AI spend is producing. Until you can answer that, you're just managing costs - not outcomes," said Adam Swiecicki, Chief Financial Officer of Rippling. AI Spend Console is the latest in a series of Rippling product launches over the past four months. The company launched Procurement earlier this week, added Automated Compliance and Business Banking earlier this year, as well as AI-powered Benefits Administration. Rippling introduced Data Cloud in June to connect third-party business data to employee records, and has continued to expand Rippling AI's capabilities across HR, IT, finance, and now AI spending. [To share your insights with us, please write to [email protected]]
AI security firm accuses Rippling of trade secret theft. 5h ago · 0:00 listen · Source: IAM Media Summary. An AI security firm is accusing Rippling of trade secret theft. Runlayer alleges a Rippling employee revealed the company is using Runlayer's trade secrets. This information was reportedly used to build a clone of Runlayer's product. That product is software designed to control how AI agents interact with enterprise systems. This story highlights potential intellectual property disputes in the rapidly evolving AI industry. This is an AI-generated audio summary. Always check the original source for complete reporting.
Runlayer sues Rippling over alleged MCP gateway theft. Published · Jul 29, 2026 Why Relve is watching this The suit is a live test of how much access enterprise customers can get during a product trial before "build it ourselves" crosses into trade secret theft, a risk every AI infrastructure startup selling to tech-savvy buyers now has to price in. Key Takeaways * Runlayer, an MCP security gateway startup, is suing HR software company Rippling over trade secret misappropriation and breach of contract claims. * Runlayer alleges Rippling used nearly a year of deep product trial access, including its source code, to build a competing MCP gateway in-house. * A "Rippling insider" reportedly texted Runlayer's CEO to warn that Rippling's internal project was nearly a one-to-one copy of Runlayer's product. * Rippling confirmed it is launching its own MCP gateway, but its spokesperson denies misusing Runlayer's intellectual property. * Runlayer has raised $42 million since launching in mid-2025, backed by Khosla Ventures and Felicis. What happened. MCP security gateway startup Runlayer has sued HR software company Rippling, alleging trade secret misappropriation, unfair competition, and breach of contract, according to a complaint seen by TechCrunch. Runlayer says Rippling evaluated its product for nearly a year under a mutual non-disclosure agreement and a trial agreement barring Rippling from copying its technology or building derivative works. The two companies could not agree on a price, and Runlayer ended the trial. Runlayer alleges a "Rippling insider" later texted its CEO, Andrew Berman, to warn him about an internal project building a near-identical copy of Runlayer's gateway. Rippling has confirmed to TechCrunch that it is launching its own MCP gateway, while denying it misused Runlayer's intellectual property. Runlayer, which launched in mid-2025 and has raised $42 million from investors including Khosla Ventures and Felicis, has retained law firm Sullivan & Cromwell for the case. Why it matters. The dispute is a cautionary tale for AI infrastructure startups selling into enterprise customers that have their own engineering muscle, since a deep, months-long product trial can double as a blueprint for a competing in-house build. MCP gateways have gotten more crowded since Anthropic open-sourced the underlying protocol in 2024, raising the stakes for smaller vendors trying to lock in enterprise deals before customers build their own version. Runlayer's claims come from its own complaint and remain unproven, and building a similar product after a failed deal is not automatically theft, since ideas and general product categories are not protected the way specific code or trade secrets are. Retaining a marquee law firm signals confidence, not the merits of the case. Runlayer's panicked effort to avoid competition by fabricating claims. Rippling spokesperson Bottom line. Watch how this suit proceeds, since a ruling either way will shape how AI infrastructure startups structure enterprise trials and NDAs going forward. A win for Runlayer could make companies more cautious about extensive hands-on evaluations with competitors-in-waiting, while a win for Rippling would reinforce that enterprises can walk away and build their own version. For startups selling AI infrastructure into enterprise, per Relve, an AI tools intelligence platform, the practical takeaway is to limit source code and roadmap access during trials, and to price and structure NDAs with the possibility of a walkaway build in mind. Neelam Khan. Lead Editor Neelam Khan is a Lead Editor at Relve, covering AI news, tools, product updates, search trends, and business use cases. She filters noise from useful signals for founders and teams, drawing on her previous work in AI SEO, content strategy, and tool research with Wellows and AllAboutAI.
Runlayer sues Rippling over alleged copy of MCP gateway. 41 minutes ago A year-long product trial turned contentious after Runlayer says Rippling copied its MCP gateway, raising fresh risks for AI infrastructure startups. Runlayer, a startup that offers a secure gateway for the Model Context Protocol (MCP) - a standard for the safe use of external data and tools by AI models and agents - has filed a lawsuit against the HR software startup Rippling, according to TechCrunch, citing the complaint. This case serves as a warning to companies selling AI infrastructure to enterprise clients, including other tech companies that are increasingly able to develop similar solutions in-house. In the lawsuit, Runlayer describes a lengthy product evaluation Rippling conducted as a potential client: during the assessment, Runlayer shared the product roadmap and source code. The parties signed a mutual nondisclosure agreement, and Rippling signed a trial agreement with a prohibition on copying Runlayer's intellectual property or creating derivative works. According to the complaint, the evaluation lasted 'almost a year of intensive engineering collaboration.' However, the parties did not agree on price, after which the trial period was terminated. Lawsuit Context and the Parties' Positions an in-house project that effectively clones Runlayer... this is almost a complete copy of Runlayer - Runlayer's lawsuit Runlayer contends that the complaint materials point to trade secret misappropriation, unfair competition, and breach of contract. Rippling confirmed to TechCrunch that it is launching its own MCP gateway, but a spokesperson denied the accusations of using Runlayer's intellectual property. Runlayer's panicked moves to avoid competition by fabricating claims are not an effective way to solve their business problems. Rippling is launching a more sophisticated product to connect AI tools to business data, using only its own information - Newshunt has every reason to win in this market - Rippling spokesperson, TechCrunch Runlayer has enlisted the prestigious law firm Sullivan & Cromwell. While that adds some heft to the lawsuit, it does not guarantee victory in court. In the broader MCP gateway market context, competition is increasing: Anthropic launched MCP as an open protocol in November 2024, and it is now one of the foundational building blocks of AI interoperability, enabling models and agents to safely interact with external data and services. MCP gateway products add control and security, particularly for managing agents, and the sector has become much more competitive following Runlayer's launch last year and the $42 million investment from Khosla Ventures and Felicis. Even after intensive testing, an enterprise may decide to build the tool in-house. Consequently, the market underscores the difficulties of selling complex AI infrastructure in corporate environments.