Full-Time
Sales Manager
Clay
1,001-5,000 employees
Data enrichment and outreach automation platform
No salary listed
San Francisco, CA, USA + 1 more
More locations: New York, NY, USA
In Person
 Sales & Account Management (1) |
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- Four or more years of experience leading go-to-market, technical, or customer-facing teams such as Go-To-Market Engineers, Account Executives, Solutions Engineers, or Sales Engineers.
- Proven deal execution experience in Mid-Market or Enterprise B2B sales cycles, including involvement in deals, navigating technical objections, and winning enterprise deals.
- Build and develop a high-performing team by recruiting, onboarding, and coaching Go-To-Market Engineering professionals, and designing scalable enablement systems to foster curiosity and impact.
- Own and scale the GTME playbook by designing frameworks, discovery methodologies, demo structures, and qualification criteria, while balancing rigor with flexibility.
- Bridge teams and influence product by partnering with Sales leadership, Product, and Customer Success to translate patterns from complex deals into actionable product feedback and ensure the team has enablement and tools to win.
- Passion for Clay and GTM automation and scaling a team that redefines how enterprises build their GTM engine.
Clay helps marketing, sales, and growth teams grow by using data enrichment and automation. The platform connects data sources and internal tools to enhance profiles, segment audiences, and create automated outreach and GTM playbooks, with dashboards to track results. It combines data enrichment with end-to-end automation aimed at GTM activities and offers tiered pricing plans that scale with features and usage. The goal is to streamline operations, improve market engagement, and drive scalable, data-guided outreach.
Company Size
1,001-5,000
Company Stage
Series C
Total Funding
$202M
Headquarters
New York City, New York
Founded
2017
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Simplify's Take
What believers are saying
- Clay's July 2026 API and CLI launch enables GTM engineers to automate workflows directly from AI coding agents like Claude Code and Cursor[1].
- The April 2026 Enigma partnership delivers verified card-backed revenue data, allowing teams to filter prospects by real payment signals instead of proxies[5].
- Clay surpassed $100M ARR in late 2025 with a $3.1B valuation, driven by 10x revenue growth for two consecutive years[1][3].
What critics are saying
- Apollo.io's all-in-one bundling of prospecting, enrichment, and outreach eliminates the need for Clay's orchestration layer within 12–18 months[Negative trends].
- Clay's positioning targeting technical operators instead of accountable CMOs causes misalignment with revenue stakeholders and loss of full-platform buyers within 9–15 months[Negative trends].
- Clay's pricing restructuring separating platform value from data costs creates perceived instability, triggering immediate buyer migration to simpler competitor models within 6–12 months[Negative trends].
What makes Clay unique
- Clay is the first IDE for revenue teams, integrating 150+ data sources with autonomous AI agents in one spreadsheet-like interface[1][3].
- Clay creates a unique 'contextual agent' moat by combining multi-source enrichment with AI that drafts personalized outreach at the lead level[7][8].
- Clay formalized the new 'GTM Engineer' persona, targeting technical marketers who build automation and AI pipelines instead of traditional sales reps[3][4].
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Benefits
Health Insurance
Paid Vacation
Unlimited Paid Time Off
Parental Leave
Fertility Treatment Support
Free Lunch
Visa Sponsorship
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
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↑ 10%(C) 2026 AI engine for marketers. All rights reserved. AI Marketing Tools Clay Launches API and CLI to Bring GTM Workflows into AI Coding Agents. Clay introduces a new API, CLI, and open-source Agent Plugin, enabling developers to build, automate, and manage GTM workflows directly from AI coding assistants and the terminal. July 9, 2026 Clay has announced the launch of its API and Command Line Interface (CLI), giving developers and GTM engineers a new way to build and automate workflows directly from the terminal. The release also introduces an Agent Plugin, allowing AI coding assistants such as Claude Code, Codex, and Cursor to interact with Clay programmatically. Instead of constantly switching between development tools and the Clay interface, teams can now search data, run functions, and execute workflows from within their coding environment. Build GTM workflows without leaving your terminal. With the new API and CLI, developers can: * Search Clay data programmatically * Run Functions from the command line * Create and edit workflows * Trigger workflow automations * Execute GTM operations without opening the Clay dashboard By moving GTM operations into the terminal, Clay reduces context switching and enables faster execution for modern revenue teams. AI coding agents become part of your GTM stack. The new Agent Plugin integrates with AI coding assistants, allowing developers to interact with Clay using natural language while staying inside their preferred development environment. Supported environments include: * Claude Code * Codex * Cursor This makes it easier to build, modify, and automate GTM workflows as part of everyday development rather than relying solely on a web interface. Read more on the Clay blog. Open source Agent Plugin. To help developers get started, Clay has also published the Agent Plugin as an open-source project on GitHub. Developers can explore installation steps, supported features, and contribute to the project through the official repository. Why this matters. AI coding assistants are rapidly becoming part of modern software development. Clay's API and CLI extend this trend to GTM operations by allowing developers to treat sales and marketing workflows like programmable infrastructure. Instead of manually managing enrichment, workflow execution, and operational tasks through dashboards, teams can automate these processes directly from code or AI agents. For GTM engineers, RevOps teams, and developers building AI-native workflows, this represents another step toward fully programmable go-to-market operations. #AI Agents Stay ahead of the curve. Join 10,000+ marketers receiving its weekly insights on AI tools, trends, and strategies.
Clay vs Bitscale: which GTM tool is right for your stack? Faraz Ahmed 18 Jun 2026 Clay and Bitscale solve the same core problem: turning a raw list of companies or people into an enriched, personalized, campaign-ready dataset by orchestrating dozens of data providers and AI steps in a spreadsheet-style interface. The difference is in depth versus accessibility. Clay is the deeper, more extensible platform with a steeper learning curve and a credit model that punishes inefficiency. Bitscale is faster to learn, friendlier to smaller teams, and covers the most common GTM workflows with less configuration. ThynkGrowth run both in production for client work, and its team holds Clay's partner certifications, so this comparison comes from daily use rather than a features-page skim. Here is how to actually choose. What both tools do well. Before the differences, the shared foundation. Both tools give you: * A table interface where each row is a company or person and each column is an enrichment step. * Waterfall enrichment: try provider A, fall back to provider B, then C, which materially improves match rates over any single data source. * AI columns that can research, summarize, classify, and write personalized copy per row. * Integrations to push finished rows into sequencers and CRMs. If your mental model is "a spreadsheet that does the SDR research work automatically," both tools deliver that. The question is which one fits your team. Where Clay wins. Depth of the data marketplace. Clay gives you one contract to buy data from 200+ providers and keeps expanding. For unusual data needs, obscure technographics, niche registries, specific signal sources, Clay is more likely to have a native path. Extensibility and platform ambition. HTTP API columns, webhook triggers, and formula logic mean that a skilled operator can build almost anything in Clay. Complex multi-branch qualification logic, custom scoring models, multi-step AI research chains: this is where Clay has no real ceiling. And Clay is expanding well past enrichment: a native Sequencer, Audiences for centralizing first and third party data, ad audience syncing to LinkedIn, Meta, and Google, and an Agent plugin with API and CLI access so you can build tables directly through a coding agent. Clay is clearly positioning itself as the full GTM operating system, which is also why the pricing has moved the way it has. Claygent and AI research. Clay's AI research agent is genuinely strong at open-ended web research tasks per row, the kind of "find out how this company handles X" questions that turn into sharp personalization. Ecosystem and talent. More templates, more community content, more certified operators available to hire. Clay crossed 100 million dollars in ARR and now claims over 500,000 GTM teams on the platform, and enterprise logos like Anthropic (3x enrichment coverage) and Intercom (140 percent growth in outbound pipeline) tell you the ceiling is high. If you plan to staff the function, the Clay talent pool is far deeper. The tradeoffs: the learning curve is real. Expect a few weeks before a new operator is efficient, and expect early credit burn while they learn. And the recent pricing update made this worse: Clay now charges action credits on top of enrichment credits, so every step in a workflow has a meter running. Credit pricing rewards people who design workflows carefully and punishes exploration. For a team without a dedicated operator, Clay can become an expensive tool that one person half-understands. Where Bitscale wins. Time to first workflow. Bitscale gets a competent generalist from signup to a working enrichment flow in hours, not weeks. It ships ready-to-run playbooks for the common motions, prospecting, competitor targeting, automated outbound, champion tracking, hiring signals, and their own benchmark is about 20 minutes from setup to first outreach sent. The interface makes fewer assumptions about prior GTM engineering knowledge. Pricing, and it is not close anymore. Clay's recent pricing update introduced action credits, meaning you now burn credits not just on enrichments but on the actions themselves. Bitscale runs 349 dollars for 15,000 credits with unlimited actions. For the bread-and-butter jobs, enrich a list, verify emails, generate personalized lines, push to a sequencer, the same workflow now costs meaningfully less in Bitscale, and the bill surprises you less. CRM-native operation. Bitscale has positioned itself as the GTM data layer for your CRM: it runs two-way sync with Salesforce and HubSpot, pushes only changed fields back, auto-fills missing emails, mobiles, titles, and firmographics from 100+ waterfall sources, and flags CRM rot (job changes, dead emails, dead domains) the day it happens. Their waterfall coverage claims are strong, 90 percent plus on emails and 95 percent plus on mobiles, with verification baked in so bounce rates stay under half a percent. For a team whose GTM life lives inside the CRM, this is a genuinely different architecture than exporting to a table and re-importing. Signal stacking. Bitscale tracks 15 buying triggers, exec hires, tech-stack changes, viral LinkedIn posts, funding events, and lets you stack them (Series B plus hiring SDRs plus new VP Sales) to surface accounts a single-signal tool would miss. For signal-led motions specifically, this is more built-in than Clay offers out of the box. Founder-friendly. For a solo founder or a 2-person growth team running their own outbound, Bitscale is the tool that will actually get used rather than admired. The tradeoffs: less depth at the edges. Fewer niche providers, less room for exotic custom logic, a smaller ecosystem. Teams occasionally hit a wall on unusual requirements that Clay would handle. The decision framework. Choose Clay if: * You have (or will hire, or will contract) a dedicated operator for at least a few hours a week. * Your workflows involve complex qualification logic, custom scoring, or unusual data sources. * You are an agency or a team running many campaigns for many segments, where Clay's depth compounds. * Signal-led systems with multiple trigger sources are the goal. Choose Bitscale if: * The person running enrichment also has three other jobs. * Your workflows are the standard 80 percent: enrich, verify, personalize, send. * Price matters. At 349 dollars for 15,000 credits with unlimited actions, Bitscale is the clear value winner since Clay moved to action-credit pricing. * You are validating outbound and want results this month, not a platform investment. And honestly, some teams should run both. ThynkGrowth do. Clay handles the complex signal orchestration and the campaigns with heavy custom logic. Bitscale handles fast-turnaround list builds where setup speed matters more than depth. They are not mutually exclusive line items at these price points. What actually matters more than the tool. A blunt note from running these systems daily: the tool choice moves results maybe 10 percent. The inputs move results 90 percent. A precise ICP definition, a signal worth acting on, verified contact data, and messaging that speaks to a real problem will outperform in either tool. A vague ICP and a scraped list will fail identically in both. So pick the tool that matches your team's operating reality, then spend your energy on targeting and messaging. If you want the whole system, tool, workflows, signals, copy, and reporting, built and operated for you, that is precisely the work ThynkGrowth do at ThynkGrowth as an outbound GTM partner. Faq. Is Bitscale cheaper than Clay? Yes, and the gap widened after Clay's recent pricing update introduced action credits. Bitscale charges 349 dollars for 15,000 credits with unlimited actions, while the same workflow in Clay now consumes credits on both enrichments and actions. An efficient Clay build can narrow the gap, but it requires an operator who knows how to design credit-efficient tables. Can Bitscale replace Clay completely? For the most common GTM workflows, yes. Teams with complex multi-source signal orchestration, custom API integrations, or unusual data requirements will still find capabilities in Clay that Bitscale does not match. Do I need to know how to code to use Clay or Bitscale? No. Both are no-code table interfaces. Clay rewards technical thinking and takes longer to master; Bitscale is designed to be productive within the first day. Which is better for agencies? Clay, in most cases. The depth, template reusability across clients, and larger operator talent pool compound at agency scale. Many agencies still keep Bitscale alongside it for fast, simple list builds.
Clay vs Zapier for B2B lead enrichment. Clay. Purpose-built enrichment and prospecting table Pricing: From $149/month (Explorer) What it's good at * Waterfall logic across 75+ providers natively * AI columns for normalization, scoring, and personalization * Bulk CSV and CRM list processing without per-row task limits * Built-in LinkedIn scraping, job change tracking, and intent signals * Credit-based pricing scales predictably with list size Where it falls short * Steeper learning curve for non-technical operators * Credits cost add up fast on large enrichment runs * Not a general automation platform, you will still need a separate tool to push data downstream * Pricing jumps significantly between tiers Zapier. General-purpose automation for non-technical teams Pricing: Free to $69/month (Professional) What it's good at * Zero learning curve for ops and marketing teams * Native triggers from HubSpot, Salesforce, and form tools mean no manual list exports * Works well for simple one-step enrichment (Clearbit reveal, Apollo basic lookup) * Free tier usable for light workflows * Paths and filters handle basic conditional logic Where it falls short * No native waterfall fallback logic between providers * Task-based pricing gets expensive on bulk enrichment runs * Error handling is shallow, failed steps require manual debugging * Not designed for tabular data manipulation or scoring How to choose between Clay and Zapier for enrichment. The framing I use with clients is simple: "Is your enrichment a workflow step, or is it the workflow itself?" If enrichment is one step inside a bigger process (form submitted, contact created, route to rep), Zapier handles that trigger-action pattern well. For ops managers who do not want to babysit a data pipeline, Zapier's interface is genuinely forgiving. I've watched marketing ops teams build solid inbound enrichment in Zapier in a single afternoon, connecting HubSpot form submissions to a Clearbit lookup to a Slack alert, no engineering help required. But when enrichment is the workflow, meaning you're building outbound lists, running account research, layering job change signals onto churned contacts, or building personalization data for sequences in Smartlead or Lemlist, Zapier starts showing real cracks. There is no native concept of "try Apollo first, fall back to Hunter, then mark blank if both miss." You end up manually assembling that logic with multi-step Zaps and conditional paths. The moment a provider returns a partial result, your error handling falls apart. That is the exact moment Clay earns its price tag. Pick Clay if your enrichment workflow involves any of the following: you're building outbound prospect lists from scratch, you need data from more than one provider per record, you want AI-written personalization fields baked into the same table, or your RevOps team runs enrichment on batches of 500 or more records regularly. Clay is also the right call for account-based work where you need firmographic layering (tech stack, headcount, funding round) across the same table that holds your contact data. Pick Zapier if your use case is inbound-only enrichment, your trigger is a form or CRM event, your team has no dedicated RevOps operator, and you only need one or two enrichment fields to route or score a lead. Zapier also wins when your organization already has it and enrichment is a small piece of a larger automation you've already built there. The switching cost does not justify a Clay subscription for a team processing fewer than 200 enriched records a month. The hybrid stack I actually recommend for most growing B2B SaaS teams is Clay for enrichment plus Zapier (or Make) to push the enriched records downstream into HubSpot or Salesforce. That combination gets you the best match rates without giving up the familiar trigger-based integrations your ops team already knows. The real question is where your team sits on the maturity curve. If you're a RevOps operator at a Series A company running any meaningful outbound volume, Clay is almost certainly the right investment for enrichment. The Clay documentation on waterfall enrichment shows how quickly you can stack providers without writing a single line of code, and the credit model becomes predictable once you run a few batches and understand your match rates. For enterprise teams already deep in Salesforce, pairing Clay with a lightweight Zapier or Make connector to sync enriched data back into the CRM is the stack I've shipped most often at Homegrown Growth Co. For teams at an earlier stage, or where the person running automation is a marketing manager rather than a dedicated RevOps hire, Zapier's simplicity is a genuine advantage. Don't overcomplicate it for them. Zapier's own integration guides walk through connecting form tools to enrichment APIs in under 30 minutes. That is real. If your list volume is low and your enrichment logic is "look up company size and industry on new form submission," you do not need Clay's horsepower. The right tool is always the one your team will actually maintain six months from now, not the one that impressed them in a demo. Filed under: comparison automation lead-enrichment Frequently asked questions. Is Clay better than Zapier for lead enrichment? Clay is better for high-volume, multi-source enrichment workflows where you need waterfall logic and data normalization. Zapier is better for simple, trigger-based enrichment on small lists with non-technical operators running the process. Can Zapier do lead enrichment? Yes, Zapier can trigger enrichment via tools like Clearbit or Apollo through Zaps, but it lacks native waterfall logic, row-level fallback, and bulk processing that Clay handles natively. What does Clay do that Zapier cannot? Clay runs waterfall enrichment across 75+ data providers in a single table, scores and normalizes results with AI columns, and handles bulk CSV processing without hitting per-Zap task limits. How much does Clay cost compared to Zapier? Clay starts at $149/month for its Explorer plan and scales by credits. Zapier starts free and scales to $69/month on its Professional plan, making Zapier cheaper for light use. Do RevOps teams use Clay and Zapier together? Yes. A common stack is Clay for enrichment and list building, then a Zapier or Make workflow to push enriched records into HubSpot or Salesforce automatically. Get weekly automation playbooks for RevOps teams. No fluff. 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How Figma leverages Clay.com for Enhanced Customer Insights. Pepper Insight Team April 10, 2026 In today's competitive digital landscape, understanding your customers is crucial for success. Figma, a leading design tool, has partnered with Clay.com to gain deeper insights into their customer base. This collaboration has enabled Figma to enhance user experience and drive growth. According to recent studies, companies that leverage customer insights see a significant improvement in user satisfaction and retention. of companies report improved customer satisfaction with better insights The importance of Customer Insights. Customer insights are the backbone of any successful business strategy. They help companies understand their users' needs, preferences, and pain points. By leveraging these insights, businesses can tailor their products and services to meet customer expectations effectively. Benefits of Customer Insights. * Improved User Experience: By understanding customer behavior, companies can design more intuitive and user-friendly products. * Increased Retention: Personalized experiences lead to higher customer satisfaction and loyalty. * Data-Driven Decisions: Insights provide a solid foundation for strategic decision-making. * Competitive Advantage: Companies that leverage customer insights can stay ahead of the competition. Figma's integration with Clay.com. Figma's integration with Clay.com has revolutionized how they gather and utilize customer insights. Clay.com's advanced data extraction and analysis capabilities have enabled Figma to scan millions of news articles and social media posts daily, extracting valuable information about their customers. The integration with Clay.com has transformed its approach to customer insights, allowing Pepper Insight to make data-driven decisions with unprecedented accuracy. How the integration works. * Data Collection: Clay.com scans over 1 million news articles and social media posts daily across 40 countries. * Lead Extraction: The platform extracts qualified leads and generates personalized outreach messages. * Insight Generation: Advanced AI algorithms analyze the data to provide actionable insights. * Implementation: Figma uses these insights to enhance their product and user experience. Key takeaways from Figma's success. Figma's success story with Clay.com offers several key takeaways for other businesses looking to enhance their customer insights: increase in user retention for Figma after leveraging Clay.com improvement in customer satisfaction scores reduction in customer acquisition costs Strategies for leveraging Customer Insights. * Invest in Advanced Tools: Utilize platforms like Clay.com to gather and analyze customer data effectively. * Focus on Personalization: Tailor your products and services to meet individual customer needs. * Continuous Improvement: Regularly update your strategies based on the latest insights. * Cross-Functional Collaboration: Ensure that insights are shared across all departments for a unified approach. The future of Customer Insights. The future of customer insights lies in the integration of advanced technologies like AI and machine learning. These technologies enable businesses to analyze vast amounts of data quickly and accurately, providing actionable insights that drive growth and innovation. Emerging trends. * AI and Machine Learning: These technologies are becoming increasingly important in data analysis and insight generation. * Real-Time Insights: The ability to analyze data in real-time allows businesses to respond quickly to changing customer needs. * Predictive Analytics: Using historical data to predict future trends and behaviors. * Enhanced Personalization: Leveraging insights to create highly personalized customer experiences. Conclusion. Figma's partnership with Clay.com demonstrates the power of leveraging customer insights to drive business success. By understanding their customers better, Figma has been able to enhance user experience, increase retention, and gain a competitive edge. As the importance of customer insights continues to grow, businesses that invest in advanced tools and strategies will be well-positioned for future success. Additional resources. On this page. Figma Clay.com Customer Insights User Experience B2B Lead Generation Last Updated : April 10, 2026
Lusha, a B2B data intelligence platform serving over one million users globally, has partnered with Clay to provide verified contact data and buying signals for go-to-market automation workflows. The integration gives Clay users access to Lusha's premium contact database, which claims 98% email deliverability and 85% phone accuracy. The partnership addresses regional data-handling requirements as Clay expands into EMEA, opening its first office in London. Lusha's GDPR-compliant infrastructure enables GTM engineers to build localised enrichment workflows whilst maintaining compliance across European markets. The integration includes buying signals such as funding rounds, hiring surges and executive changes, allowing teams to trigger automated workflows. Lusha maintains ISO 27701 and ISO 31700 certifications and is fully GDPR and CCPA compliant.