We’re probably not the right fit for you.
We're in the office five days a week in San Francisco. We move fast and expect a lot. We’re most effective when everyone is in the same room, thinking out loud, catching each other's mistakes early.
You'll own your models end to end, training through production. We trust you to handle that. You'll spend most of your time working fine-tuning and running open source models in production, pushing models on-device, and building the evaluation frameworks that tell us whether a change actually worked instead of trusting our gut.
This will probably be one of the hardest jobs you've had. We think it'll also be one of the more exciting ones, and we'll be here right alongside you.
Sound exciting? Good. We’re excited too.
Hyperbound is the Revenue Activation Platform, the agentic operating system for sales. We don't just record what happens on a call, we change what happens next, turning real selling behavior into targeted roleplays, coaching, and workflow changes that make reps better without adding a single layer of management overhead.
Founded in 2023 out of YC (S23), we're 45 people now, Series A, $18M raised total. Last quarter we doubled headcount, revenue nearly doubled with it, and net revenue retention landed above 300%. Teams at LinkedIn, Workday, and Intel run their sales orgs on us.
You'll build and ship the models underneath Hyperbound's roleplay, scoring, and coaching products: real systems sitting on real sales calls. That means owning the full lifecycle, from training and fine-tuning through getting a model into production and keeping it working once it's there.
You will fine-tune and deploy open source models where they give us more control over cost, latency, or what the model can actually do. Some of it means getting models running on-device, wherever a customer's latency or privacy requirements demand it, with all the tradeoffs around quantization and distillation that come with it. And a good amount of it means building the evaluation frameworks, benchmarks, and regression suites that tell us whether a change actually made things better, before a customer finds out for us.
You'll work closely with the founders and the rest of engineering, and you'll have real input into what we build next, not just how we build it.
We're assembling a cracked team of builders, operators, and hunters. We've hired people from our competition, former co-founders, and early customers who loved the product.
The engineers you'd work alongside are builders first. Some have started their own companies. Nobody here is precious about their code, and nobody hides behind "that's not my problem," people just see something broken and fix it.
We work hard and we celebrate for real. We’re demoing features we shipped that morning, and the whiteboards get erased and rewritten constantly. You can feel it when a team actually believes in what it's building, and that's very real here. Here's the team in Bali after we raised our Series A:
At the same time, this isn't a mattress-under-your-desk startup: plenty of people here have kids, people leave to make dinner, and they come back the next morning and ship. High standards don't require burnout.
We've doubled in size since this photo was taken a few months ago:
You own your models end to end: the training, the eval, the deployment, and everything that happens after. That cuts both ways, and when it works, that's yours too. Equity here is real, with real secondary opportunities, and we genuinely want the people who build this early to end up meaningfully rewarded for it.
Comp: $260k-$300k+ based on experience, meaningful equity
Benefits: medical, dental, vision, 401k
Commuter and parking benefits
Unlimited PTO
Free lunch and dinner in the office
We move fast: an intro call, a technical conversation with the team you'd actually work with, and a final conversation with the founders. We move fast, 1-2 weeks from first conversation to offer.
Hyperbound is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, and we don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Hyperbound.ai provides AI-driven prospect research for B2B teams. Its platform automatically scans data from sources like LinkedIn, Twitter, and TechCrunch to build organized prospect profiles and surface actionable insights quickly. It differentiates itself with a tiered subscription that scales access to deeper, broader research and ongoing updates. Its goal is to help sales, marketing, and business development teams save time on manual research so they can focus on strategy and engagement.
Company Size
51-200
Company Stage
Series A
Total Funding
$15.1M
Headquarters
San Francisco, California
Founded
2023
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Hyperbound named Gartner Example Vendor as AI sales role-play expands. Published on: Sep 15, 2026 As sales organizations look for ways to improve seller readiness without putting additional pressure on frontline managers, AI-powered sales training is emerging as a new category of revenue technology. Hyperbound, an AI platform for revenue teams, said it has been included as an Example Vendor in Gartner's 2026 Market Overview for B2B Sales AI Role-Play Applications, published August 7, 2026. Gartner describes sales AI role-play applications as software that uses artificial intelligence to simulate business conversations, allowing sales teams to practice communication, receive coaching and develop skills through repeatable scenarios. The inclusion places Hyperbound within a developing segment of sales enablement technology that uses AI-generated interactions to replicate buyer conversations. Rather than relying exclusively on scheduled training sessions, these systems can provide sellers with opportunities to practice objections, discovery conversations and other scenarios on demand. That model addresses a longstanding challenge for enterprise sales organizations: training has to scale with the number of sellers, products, markets and customer situations, while sales managers have limited time for one-to-one coaching. Hyperbound's approach is moving toward more contextualized simulations. According to the company, its platform is designed to account for factors such as the buyer, product being sold, selling situation and individual performance gaps. The objective is to make practice sessions more closely resemble the conversations sellers are likely to encounter in actual deals. That distinction matters as AI role-play moves beyond generic conversational simulations. A virtual buyer that simply responds convincingly may provide practice, but a system that incorporates account, deal and performance context could potentially make each exercise more relevant to a seller's immediate needs. Hyperbound is also working with established sales training organizations to incorporate recognized methodologies into AI-powered practice. Its relationship with Richardson, for example, brings Richardson's Challenger and Consultative approaches into a technology-supported seller development model, according to the announcement. For revenue leaders, the broader opportunity is to connect training with everyday sales execution. Traditional sales enablement often separates formal learning from the live customer conversations where those skills are tested. AI role-play can potentially narrow that gap by allowing sellers to rehearse specific scenarios before engaging with prospects. The technology also introduces a new measurement opportunity. AI-based platforms can potentially evaluate repeated practice sessions and identify patterns in seller performance, giving managers additional information for coaching. The extent to which such insights translate into measurable improvements in win rates, deal velocity or revenue performance will remain an important consideration for enterprise buyers. Gartner's inclusion of Hyperbound should not be interpreted as an endorsement. Gartner explicitly states that it does not endorse companies, vendors, products or services featured in its publications. The development nevertheless illustrates how sales technology is expanding from content distribution and CRM workflows toward AI-assisted skill development. As platforms become better at incorporating customer and deal context, AI sales role-play could become part of continuous revenue enablement rather than an occasional training exercise. AI is increasingly being incorporated into sales technology across prospecting, forecasting, conversation intelligence, coaching and sales enablement. Vendors such as Salesforce, Microsoft and HubSpot are integrating AI capabilities into broader revenue platforms, while specialist providers are focusing on narrower use cases such as sales training and conversation simulation. AI sales role-play occupies a distinct position within this ecosystem. Instead of primarily helping sellers find prospects or summarize customer interactions, these applications simulate the interaction itself. For enterprise teams, the competitive question is therefore less about whether AI can generate a conversational partner and more about context, methodology, coaching quality, integrations and measurable sales outcomes. Hyperbound's positioning around personalized practice and established sales methodologies reflects that shift. The next stage of AI sales role-play is likely to depend on how deeply platforms can connect simulations to real sales environments. CRM information, account intelligence, product knowledge and conversation-performance data could make training more individualized. At the same time, enterprise buyers will need to evaluate data governance, integration requirements, model reliability and whether AI-generated coaching aligns with their existing sales methodology. The category's long-term value will ultimately depend on whether repeated AI practice produces observable improvements in seller behavior and business outcomes - not simply more training activity. Top insights. * Hyperbound's Gartner inclusion reflects growing interest in AI sales role-play as revenue teams seek scalable alternatives to manager-led seller practice. * Context-aware simulations could make AI sales training more useful by connecting practice scenarios with buyers, products, deals and individual performance gaps. * Richardson's integration of established sales methodologies with Hyperbound illustrates how AI can extend traditional training programs into repeatable digital practice. * Enterprise sales teams could use AI role-play to move seller development from periodic training sessions toward continuous, personalized skill development. * Measurement will remain critical as buyers assess whether AI-powered sales practice improves real-world conversations, seller behavior and revenue performance.
Richardson introduces AI Roleplay Built on Hyperbound to strengthen seller readiness. Sep 01, 2026, 09:00 ET PHILADELPHIA, Sept. 1, 2026 /CNW/ - Richardson Sales Performance, a global leader in sales training and performance improvement, today announced AI Roleplay Built on Hyperbound in Accelerate Prism, giving sellers realistic, AI-powered opportunities to practice critical sales conversations and strengthen readiness before putting new skills to the test with customers. Sales organizations invest heavily in building seller capability, but sellers often have too few opportunities to apply new skills before they are expected to use them in high-stakes customer conversations. AI Roleplay addresses this gap by bringing realistic, real-time practice directly into the Accelerate Prism learning journey, helping sellers build confidence, sharpen execution, and turn newly learned skills into repeatable behaviors. Enablement teams can quickly customize scenarios around their organization's buyers, offerings, and common sales challenges, then deploy relevant practice consistently across roles, regions, and teams. Sellers can rehearse conversations in a realistic environment and receive immediate, actionable feedback grounded in Richardson's Consultative Selling and Challenger methodologies, connecting every practice experience to the behaviors required for stronger customer conversations. "Knowing what to do and being ready to do it in a customer conversation are two very different things," said Kate Lewis, Chief Product Officer of Richardson. "AI Roleplay gives sellers a place to practice, make adjustments, and build confidence before the stakes are real. By embedding that practice within Accelerate Prism, organizations can create a much stronger connection between what sellers learn and how they ultimately perform with customers." AI Roleplay sits within the broader Accelerate Prism learning journey, so practice does not happen in isolation. Each experience reinforces the skills and behaviors introduced through customized learning and gives sellers repeated opportunities to apply them in situations that reflect the conversations they face in the field. Practice becomes part of an ongoing cycle of learning, application, feedback, and coaching designed to build durable behavior change. AI Roleplay is powered by Hyperbound's leading AI technology and integrated with Richardson's methodology, learning experiences, and performance approach. This combination gives organizations the flexibility to create realistic practice environments while maintaining a consistent standard for how effective selling behaviors are reinforced and evaluated. "Practice is one of the most important and historically hardest to scale elements of building sales capability and effectiveness," said Erin Smith, Chief Revenue Officer of Richardson. "By bringing AI-powered roleplay into Accelerate Prism, we can give every seller more opportunities to practice the conversations that matter, receive feedback tied to proven selling behaviors, and arrive at the customer conversation better prepared to execute." For enablement leaders, AI Roleplay provides a scalable way to reinforce priority behaviors across the organization without relying solely on instructor-led practice or manager availability. Teams can tailor scenarios to specific business priorities and seller needs, while managers gain greater clarity into where sellers need additional coaching and reinforcement. Within Accelerate Prism, those practice experiences can also become part of a more personalized development journey. By connecting realistic AI-powered practice with targeted learning and coaching, organizations can address individual skill gaps, reinforce the behaviors most important to performance, and help managers focus coaching where it can have the greatest impact. This provides a more scalable approach to seller readiness-one designed to reduce the risk that capability gaps surface for the first time in critical customer interactions and undermine execution, customer trust, pipeline progression, and revenue performance. About Richardson Richardson is a global sales training and performance improvement company that helps organizations build confident sales teams and win more business in an increasingly complex buying environment. As buying groups expand, decision-making slows, and AI reshapes how sales teams work, Richardson helps sellers combine consultative skills, disruptive insights, and disciplined execution to move deals forward. Through proven methodologies, expert facilitation, customized learning, AI-enabled reinforcement, and performance analytics, Richardson helps organizations develop the behaviors that improve customer conversations, strengthen pipeline progression, and drive measurable revenue outcomes. The world's leading sales organizations rely on Richardson to build sales teams that compel buyers to act. SOURCE Richardson Sales Performance
Hyperbound has raised a $15M Series A led by Peak XV Partners with participation from Y Combinator, Snowflake Ventures, Roble Ventures, and Fellows Fund. The AI sales training platform - used by Autodesk, Monday.com, Bloomberg, G2, Vanta, Airwallex, and Hub International - is redefining sales coaching with AI roleplays, real call scoring, and custom scorecards.
Sales upskilling provider Hyperbound has raised a $15 million Series A, totaling over $18 million with seed funding. Founded by Sriharsha Guduguntla and Atul Raghunathan, the company uses conversational AI to enhance sales team efficiency. Hyperbound's AI adapts to new products and market dynamics, offering ongoing training. With $4 million in annual revenue, the company aims to become the "operating system for sales leadership," expanding its AI capabilities to improve sales management and team performance.
Sales upskilling provider Hyperbound raises $15 million Series A.