B

Browserbase

Cloud platform for hosting headless browsers

Partnerships Lead

Full-TimeUpdated
$244k - $305k+ Commission
Senior
San Francisco, CA, USA
HybridWork in the San Francisco HQ 4 days per week; open to relocating there.
Sales & Account ManagementBusiness Development & Partnerships

About the job

Requirements
  • Have 7+ years of experience in partnerships, channel, or business development, including time at a developer-infrastructure, API, or AI/ML company.
  • Have built a partner function from zero and be able to identify defendable partner-sourced or partner-influenced revenue.
  • Have run cloud marketplace and co-sell motions with at least one hyperscaler, and understand private offers and committed-spend drawdown.
  • Have negotiated commercial agreements involving revenue share, referral, OEM, and reseller terms.
  • Be able to discuss APIs, software development kits, agent frameworks, and MCP credibly, including leading a whiteboard session with a partner engineering lead.
  • Understand consumption and usage-based pricing and partner economics for metered rather than seat-based revenue.
  • Operate as a player-coach, performing sourcing, calls, and agreement work personally during the first year before hiring additional staff.
  • Be comfortable working without structure and defining a playbook.
  • Be excited to work four days a week at the San Francisco headquarters or be open to relocating there.
Responsibilities
  • Own partner-sourced and partner-influenced revenue, including a quarterly forecast commitment, with an expectation of coming within 3–7% of the commit each quarter.
  • Build the partner strategy from scratch by segmenting the ecosystem, selecting 10–15 revenue-driving partnerships, and declining partnerships that do not advance revenue.
  • Recruit, negotiate, and launch partnerships, including commercial terms, revenue sharing, referral fees, OEM and co-sell agreements, and repeatable documentation with Legal and Finance.
  • Establish and scale the cloud marketplace presence, including listings, private offers, and co-sell motions with hyperscaler field teams.
  • Build a services partner program covering enablement, certification, deal registration, and joint delivery for agent implementations.
  • Get account executives, solutions engineers, and technical customer success managers to work partner-sourced deals, and make partner routing effective for sales representatives.
  • Work with Product and Engineering on integration requirements, including APIs, documentation, reference implementations, co-built features, and roadmap items that unlock major partners.
  • Run joint go-to-market work with Marketing, including launches, co-marketing, joint content, conference presence, and developer programs around Stagehand and MCP.
  • Define attribution from first touch, build partner reporting in the customer relationship management system, and report performance to leadership monthly.
  • Bring ecosystem intelligence to the company about agent-stack consolidation, build-versus-buy trends, and implications for roadmap and positioning.
Desired Qualifications
  • Experience inside the agent or large language model ecosystem, including model providers, orchestration frameworks, or agent platforms.
  • Experience building an OEM or embedded motion in which a product shipped inside another company's product.
  • Contributions to or work around open-source projects, and understanding how open-source distribution converts to commercial revenue.
  • Experience running partnerships for a company between $5 million and $50 million in annual recurring revenue and understanding the challenges of scaling.

About the company

B

Browserbase

View
Website

Browserbase provides a cloud platform for hosting, managing, and monitoring headless web browsers for developers and businesses that need automated web interactions such as web scraping, automated testing, and data extraction. It supports Puppeteer, Playwright, and Selenium, giving versatility across different automation tools. Users run their automation tasks in a fully managed, autoscaling environment that includes integrated proxies and anti-bot measures, so there is no need to manage underlying infrastructure. Debugging features like session recording and logging help identify and resolve issues quickly. The company differentiates itself by eliminating infrastructure setup and maintenance, focusing on offering a hassle-free, scalable environment. The goal is to make automated web tasks reliable and easy to run at scale without worrying about the underlying systems.

Company Size

51-200

Company Stage

Series B

Total Funding

$67.5M

Headquarters

San Francisco, California

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • BrowserEnv with Prime Intellect targets browser-agent training, a fast-growing 2026 category.
  • Browserbase Search and Fetch lower cost, broadening adoption beyond full browser sessions.
  • Fingerprint and Vercel partnerships position Browserbase as trusted agent infrastructure.

What critics are saying

  • Vercel Marketplace bundling on February 12, 2026 compresses Browserbase pricing power.
  • Recent outages hit proxies, Stagehand, and dashboard reliability in 2026.
  • OpenAI, Google, and cloud vendors can internalize browser infrastructure, killing standalone demand.

What makes Browserbase unique

  • Browserbase owns browser orchestration, observability, and proxies in one cloud platform.
  • Microsoft and DeepMind used Browserbase for real-web computer-use training in 2026.
  • Browserbase Functions and Director move automation closer to the browser session.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Flexible Work Hours
  • Company Equity

Growth & Insights and Company News

6 month growth

5%

1 year growth

1%

2 year growth

13%
Tearsheet
Oct 27th, 2026
Money20/20 and the unfinished business of payments innovation.

Money20/20 and the unfinished business of payments innovation. * Money20/20 USA spotlighted how agentic AI and stablecoins are reshaping payments, with trust and security still standing in the way of wider adoption. * Across 4 key themes, the gist is that payments innovation must move beyond product demos to solve real world challenges without adding complexity for businesses and customers. Sara Khairi | October 27, 2026 Money20/20 USA in Las Vegas, held October 18-21, had some practical conversations taking shape around what needs to change for newer and bigger ideas to work outside a high-gloss product demo. Four themes stood out. 1. Agentic AI can make the purchase, but then comes the permission problem. On October 20 at Money20/20, Visa, BILL and Billtrust announced a live pilot allowing AI agents to initiate and complete approved invoice payments through supplier portals. Visa's Trusted Agent Protocol is designed to authenticate agents without requiring them to use a person's login credentials. Evervault, a data security fintech, and Browserbase, which provides browser infrastructure for AI agents, also introduced Browser Tokens at the conference. The product allows agents to access accounts and make purchases without directly handling passwords or payment credentials. The developments tackle a problem that becomes more important as AI takes on more of the shopping and payment process. Businesses need to recognize when software is acting with a customer's permission without letting malicious bots through. They also point to a new layer of infrastructure forming around agentic commerce, with systems designed to verify an agent's identity and permissions while keeping sensitive customer information out of the agent's hands. Consumers are already experimenting with the technology. Dean Hickman-Smith, chief revenue officer at Testlio, a software testing and quality engineering company, described people giving AI agents pictures of their refrigerators and asking them to order missing groceries. But moving from asking an agent to find something to letting it actually make the purchase requires a different level of trust. Margaret Ryan, product lead at American Express Digital Labs, said nearly 75% of consumers surveyed still consider shopping with a preferred merchant important when AI is doing the shopping for them. Yet only 36% said they were comfortable letting an agent complete a transaction on their behalf. Consumers may be willing to let AI narrow their choices, but giving an agent permission to spend their money means trusting it to act within clear boundaries and follow their instructions. 2. Fraud teams are fighting AI with AI. The same technology that can help customers transact can also help criminals scale attacks. That makes fraud prevention a central part of agentic commerce. At Money20/20, Chainalysis chief legal and administrative officer Sarah Ward called AI "the biggest force multiplier that fraud has ever seen." She argued that firms need to share more intelligence because criminals already operate across networks and exchange information. DataVisor approached the problem from the defensive side, launching Vera Code at the conference. The AI agent is designed to help financial institutions build and update fraud and anti-money laundering systems using natural language instructions. DataVisor's launch aims to help financial institutions identify and respond to suspicious activity more quickly. 3. Stablecoins are more useful when customers barely notice them. At Money20/20, companies approached stablecoin adoption from two angles: reducing transaction risk and making digital assets easier to spend. Mastercard launched Stablecoin Security, which uses traditional financial and blockchain signals to assess risk before transactions move on-chain. Mesh and Visa, meanwhile, announced a partnership that lets consumers spend crypto and stablecoins at Visa merchants. Mesh converts the digital assets into local currency at checkout, allowing merchants to receive payment as they normally would. The developments aim to make digital assets more practical without requiring customers or merchants to change how they pay or get paid. Amy Burr, head of product at Federal Reserve Financial Services, noted, "At the end of the day, our customers and their customers are counting on us; they don't care about the rails, they don't care about the modality." Everyone is watching stablecoins to see whether they can offer a practical alternative without creating additional friction for the parties involved. 4. Payment providers are competing to make complex transactions easier to manage. The conference saw J.P. Morgan Payments announce support for Mercado Libre's Global Selling program, helping U.S. merchants sell to buyers in Latin America through business identity onboarding and payment flows. Danielle Sharpe, global head of FI Clearing and PayTech Payments at Standard Chartered, described "orchestration" as determining how a payment should move based on a client's needs, rather than asking the client to choose the underlying payment rail. The challenge for payment providers is helping businesses manage different payment methods and transaction types without adding unnecessary complexity. Adit Gadgil, head of global e-commerce and technology for merchant services at Fiserv, said merchants are assessing whether their existing commerce and payment systems can support stablecoins and transactions initiated by AI agents, or whether they need separate infrastructure. Building separate systems for every new capability can increase costs and leave businesses managing disconnected tools. But trying to accommodate new types of transactions with systems that were not designed for them can create operational and security risks. For all the new possibilities on display at Money20/20, the question remains how easily businesses can put them to use without making payments more complicated.

Browserbase
Mar 25th, 2026
Introducing browserenv: train browser agents on real websites.

Introducing browserenv: train browser agents on real websites. Harsehaj Dhami Growth Engineer Kyle Jeong Growth Engineer March 25, 2026 TL;DR: Browserbase and Prime Intellect have partnered to launch BrowserEnv, a reinforcement learning environment for training and evaluating browser agents on real web tasks. Everyone wants AI models that can actually use the browser to get work done, but most models weren't trained to interact with real websites. They were trained on static datasets instead of environments where they can practice navigating pages, clicking elements, and completing multi-step workflows. This is why many browser agents look impressive in demos but struggle in real-world use. The missing piece is a reliable and scalable training environment. Training browser agents requires significant infrastructure when running browsers at scale, interacting with live websites without getting blocked, resetting sessions between tasks, and verifying results. This is the infrastructure frontier labs are already building. For example, Microsoft trained and evaluated their computer-use model Fara-7B using Browserbase, which required reliable access to real websites and scalable browser environments for evaluation and reinforcement learning workflows. Browserbase, Inc. has partnered with Prime Intellect to make this infrastructure accessible to everyone with BrowserEnv. BrowserEnv is a reinforcement learning environment designed specifically for training browser agents. It runs on Browserbase, which provides scalable browser infrastructure and access to real websites. Prime Intellect provides the training platform. Together, they make it possible to train and evaluate computer-use models on real browser tasks without building the infrastructure yourself. All you need is a dataset of tasks. Researchers and developers can train open models like Qwen or other computer-use models using reinforcement learning, while BrowserEnv handles browser orchestration, task execution, and verification. Training Qwen 3 VL on WebVoyager with BrowserEnv. To validate its stack end to end, Browserbase, Inc. fine-tuned Qwen/Qwen3-VL-8B-Instruct on real WebVoyager tasks using BrowserEnv and Prime Intellect. Browserbase, Inc. plugged the prime/webvoyager-no-anti-bot environment into Prime's RL pipeline, so the model could practice real navigation flows across sites like Amazon, Allrecipes, GitHub, Booking, and more without getting stuck on anti bot walls. BrowserEnv handled browser orchestration on Browserbase, Prime handled rollouts and optimization, and WebVoyager provided a standardized benchmark of 600 filtered tasks. Browserbase, Inc. started from the public WebVoyager environment in the Prime hub, switched it to CUA mode, and pointed it at Qwen3-VL-8B-Instruct. The training run used a relatively small but realistic configuration: 200 steps, batch size 32, 8 rollouts per example, learning rate 1e-4, and an oversampling factor of 2, with modest parallelism. model = "Qwen/Qwen3-VL-8B-Instruct" max_steps = 200 batch_size = 32 rollouts_per_example = 8 learning_rate = 0.0001 oversampling_factor = 2 max_async_level = 2 [sampling] max_tokens = 512 [[env]] id = "prime/webvoyager-no-anti-bot" args = {mode = "cua", viewport_width = 800, viewport_height = 600, keep_recent_screenshots = 2} In this setup, each training step created or reused a Browserbase session, loaded a WebVoyager task, and let Qwen3-VL act through coordinate based CUA primitives while a verifier judged task completion and produced reward signals. Over the course of the run, the model improved on multi step tasks such as searching, filtering, and extracting information from live pages, rather than just static HTML. The output of this training run is a LoRA adapter that can be easily deployed to run on the Prime Intellect platform. This training workflow is reproducible by anyone with access to a Browserbase and Prime Intellect account. You can even start from the same ingredients Browserbase, Inc. used: BrowserEnv on Browserbase, the WebVoyager no anti bot environment in Prime, and an open vision language model like Qwen3-VL. Frontier labs are already training browser agents this way, and now anyone with access to the internet can do the same. BrowserEnv is generally available today, learn more at browserenv.com and start training your own browser agents. Train your own custom modelLearn more

Browserbase
Mar 17th, 2026
Introducing Browserbase Search.

Introducing Browserbase Search. Thomas Katwan Software Engineer Harsehaj Dhami Growth Engineer March 17, 2026 TL;DR: Browserbase, Inc. is launching Browserbase Search, a simple API that lets agents search the web and get back relevant URLs to start navigating. It's powered by Exa and natively integrated into the Browserbase platform. Your agents need to search the web, just like humans. That sounds simple, but it turns out to be one of the first problems every agent runs into. When an agent doesn't know the exact URL it needs, it has to figure out where to start. That usually means running a search. Browserbase, Inc. has seen this pattern over and over again across Browserbase workloads. In fact, during its last billing cycle, Browserbase, Inc. saw 4.5 million requests to google.com run through its proxies. Search is one of the most common first steps agents take before navigating to the page where real work happens. Since Browserbase, Inc. already provide the agent infrastructure to interact with the web, Browserbase, Inc. thought it made sense to bring search into the platform as well. So Browserbase, Inc. built Browserbase Search, a Search API optimized for agents, accessible via its REST API, TypeScript and Python SDK with AI-native formats such as JSON, Markdown or HTML. Powered by Exa. To power the search layer, Browserbase, Inc. has partnered with Exa, which has built one of the best search APIs designed specifically for AI agents Exa's models are optimized for navigational queries, which typically run when agents are looking for a specific page or resource on the web. That makes it a natural fit for the types of workflows its customers and developers are already building on Browserbase. By combining Exa's search with its browser infrastructure, agents can now search for where they need to start and immediately navigate to it in just a few lines of code. The API. The Search API is intentionally simple. You send a query and get back the relevant results. import {Browserbase} from "@browserbasehq/sdk"; const bb = new Browserbase({ apiKey: process.env.BROWSERBASE_API_KEY!}); const searchResponse = await bb.search.web({ query: "a web browser for ai agents", numResults: 10,}); { "requestId": "string", "query": "a web browser for ai agents", "results": [{ "id": "string", "url": "string", "title": "string", "image": "Image URL if available", "favicon": "Image URL if available",}]} That's it. Every result returns a page url and when available, a title and description. Results are ranked by relevance, and optimized for navigational queries. An agent might search for relevant pages, fetch their contents, and then decide whether it needs to launch a browser to interact with a page. Search | (Fetch) | browse. Search helps the agent discover where to go, Fetch retrieves the page content, and browsers handle deeper interaction. Together, these primitives make it easier to build agents that can understand and navigate the web all in one platform. Get started. Search is available on all plans with 1,000 free searches per month, included. Read more in the docs. Happy searching!

Browserbase
Mar 11th, 2026
Introducing Fetch: the simplest way to read the web.

Introducing Fetch: the simplest way to read the web. Harsehaj Dhami Growth Engineer March 11, 2026 TL;DR: Browserbase, Inc. launched a Fetch API for Browserbase. Give Browserbase, Inc. a URL and Browserbase, Inc. return the page content with no browser session required. It's fast, cheap, (~$1 / 1k pages), and perfect for agents that just need to read the web. Browserbase was built to help AI agents automate the web. It lets developers run browsers in the cloud to click buttons, fill forms, navigate applications, and automate complex workflows. But over time Browserbase, Inc. noticed something interesting: many developers were spinning up full browser sessions just to read the contents of a page. They weren't interacting with the site and they didn't need to click anything or run automation. They just wanted to see what was on the page. Sure, launching a browser for this works, but it's not the right primitive. Spinning up a full browser session to retrieve a page is a bit like killing a mosquito with a rocket launcher. It solves the problem, but it introduces unnecessary latency, cost, and complexity. So Browserbase, Inc. built the primitive that was missing: Fetch. Reading the web is often the first step. Agents frequently need to gather information from the web before they take action. They read documentation, inspect GitHub repositories, analyze product pages, and gather context before deciding what to do next. If you've used tools like Claude Code, you've already seen this pattern. Before executing complex actions, the model often fetches the contents of a page to understand what's there. It's the fastest way to make sense of the internet. Until now, doing this with Browserbase required launching a browser session. That meant additional infrastructure overhead even in cases where the task was simply retrieving the page content. The Fetch API solves this by letting you retrieve web content (both html and image) directly from Browserbase infrastructure without creating a browser session. Fetch a page with one request. The Browserbase Fetch API is intentionally simple. You provide a URL, and the API returns the page content. import Browserbase from "@browserbasehq/sdk"; const bb = new Browserbase({ apiKey: process.env.BROWSERBASE_API_KEY!}); const response = await bb.fetchAPI.create({ url: "https://httpbin.org/get",}); console.log(response.statusCode); console.log(response.content); The response: { "status_code":200, "headers":{ "Age":"6449", "Allow":"GET, HEAD", "Content-Encoding":"gzip", "Content-Type":"text/html", "Server":"cloudflare", "Vary":"Accept-Encoding"}, "content":"<!doctype html>...", "content_type":"text/html", "encoding":"utf-8", "id":"f47ac10b-58cc-4372-a567-0e02b2c3d479"} That's the entire API.:) Fetching pages reliably is harder than it sounds. At first glance, fetching a page might seem trivial. After all, tools like curl have existed for decades. But modern websites introduce complications that make reliable page retrieval more difficult than it appears. Redirects, inconsistent encodings, unusual headers, all make it harder to consistently retrieve the real content of a page. Its goal with the Browserbase Fetch API is simply, always return the page content. The API supports a few optional parameters such as output formatting and timeouts, but the main priority is making sure developers can depend on it to retrieve the page they requested. Browserbase, Inc. has prioritized reliability over a catalogue of shiny features. Fetch before you browse. Fetch becomes particularly powerful when used alongside browser automation. An agent first searches for relevant pages. It then fetches their contents to determine whether the page is useful. Only when deeper interaction is necessary does it launch a browser. This approach significantly reduces both latency and cost. Most pages don't really require full browser automation. They simply need to be read. Making Browserbase workflows cheaper. Running browsers is expensive infrastructure. Fetching pages is much lighter. Because of that, Browserbase, Inc. has just made Browserbase 10x cheaper, pricing the Fetch API at $1 per 1,000 pages. This allows agents to inspect far more of the web before deciding where to spend browser resources. In practice, this makes many Browserbase workflows dramatically cheaper while also improving performance. Win-win! The web is still the biggest API. The open web contains more data, workflows, and knowledge than any single API ever will. Documentation, research, software, and marketplaces all live there. Agents should be able to use that information easily. Fetching a page is often the first step in doing so, and now the Browserbase Fetch API makes that step simple. The Browserbase Fetch API is available today. Give it a URL, and Browserbase, Inc.'ll return the page. Get started with the docs here.

Browserbase
Feb 12th, 2026
Browserbase is launching on the Vercel Marketplace

Browserbase is launching on the Vercel Marketplace. Paul Klein Founder & CEO Harsehaj Dhami Growth Engineer February 12, 2026 The best agents run on Vercel. Now they get the best browsers too. Today, Browserbase, Inc. is launching Browserbase on the Vercel Marketplace. With a single API key, Vercel customers can give their AI agents access to real, production-grade browsers without even running browsers themselves. Modern agents can now do a lot more than just calling APIs. They browse the web, logging into dashboards, scraping dynamic pages, filling out forms, and interacting with sites built for humans. And while it's easy to spin up a headless browser locally, doing it reliably in production is a very different problem. The problems scream at you when the headless setups break, bot detection gets in the way, and when observability is limited. Not to mention serverless platforms aren't optimized for running long-lived, stateful browser processes. That's where Browserbase steps in. Browserbase on the Vercel Marketplace. With Browserbase now available on the Vercel Marketplace, agents running on Vercel Sandbox can connect directly to remote browsers over CDP instead of launching a local browser inside their runtime. Your agent logic stays on Vercel's agent infrastructure, while the browser itself runs on infrastructure built for browser automation. In practice, this separation is what makes web agents viable in production. Browserbase, Inc. get real browsers that behave like real users, independent browser scaling that doesn't face serverless constraints, and complete session-level visibility into what your agents are doing on the web. Everything is wired together through Vercel Sandbox and the AI Gateway, and provisioned with a single API key. Browsing the web without getting blocked. Of course, running browsers is only half the battle. The other half is staying online. That's why Browserbase, Inc. is also announcing a Web Bot Auth partnership with Vercel. Browserbase now runs as a trusted agent, allowing participating websites to recognize legitimate, AI-driven browsing. Instead of constantly tripping bot detection or solving CAPTCHAs, agents can browse the web in a way that's observable and allowed. The result is more resilient automation and fewer workarounds, so agents can focus on actually doing useful work on real websites. A dedicated browser layer for agents on Vercel. Together, this partnership extends Vercel's agent cloud with a dedicated browser layer. Agents run where they should, and browsers run where they're observable and reliable. Authentication, provisioning, and billing live right in the Vercel Marketplace, and everything works together out of the box. Browserbase is available today for Vercel customers building agents that need to interact with the real web. If your agents need to browse, click, log in, or automate real sites, this is the missing piece that makes them production-ready by default.