
Actively helps outbound-driven revenue teams increase pipeline quality and close more deals by applying AI-driven decisioning to go-to-market activities. The company trains custom deep reasoning…

Actively helps outbound-driven revenue teams increase pipeline quality and close more deals by applying AI-driven decisioning to go-to-market activities. The company trains custom deep reasoning…
What they do: AI-driven Per-Account Agents for enterprise GTM/sales to surface risks, opportunities, and execution steps
Founded: 2022
Founders: Mihir Garimella; Anshul Gupta
Headquarters: New York
Known funding: $22M–$22.5M reported (seed + Series A)
Sales / go-to-market intelligence and automation for enterprise revenue teams
2022
Software Development
$5M reported
Previously disclosed seed round reported alongside later coverage
$17.5M reported
Series A reported in April 2025
“Bain Capital Ventures, First Round Capital, Ali Rowghani, and other institutional and angel investors reported”
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About Actively AI Our thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.
Actively AI is building that superintelligent machine for Enterprise GTM organizations, focused on increasing productivity per rep. We power the day-to-day for outbound teams at dozens of companies like Samsara, Ramp, Verkada, and Ironclad.
Why does this matter? Because revenue is the ultimate fuel for businesses. The hundreds of millions of dollars we generate for our customers enables them to employ more people, innovate faster, and deliver more value to their customers.
In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including Bain Capital Ventures, First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.
We have a very ambitious product and scaling roadmap, there’s strong market interest in what we are doing, and it’s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.
About Actively Actively is building superintelligence for GTM teams. We train custom reasoning agents to think like a company’s best sales reps, and then use them to evaluate millions of datapoint about every single prospect account in the company’s TAM to feed their sales reps the optimal actions to take every day to maximize revenue.
Our customers include some of the fastest-growing companies out there — Ramp, Verkada, Justworks, Ironclad, etc. — for whom we’ve driven hundreds of millions of dollars in added revenue in the past year.
We’ve raised over $22.5M in funding, including a recent Series A led by Bain Capital Ventures
About the Role We’re looking for a Senior/Staff Full Stack Engineer to architect and build the foundational systems that define how users interact with Actively’s AI Agents through web interface as well as real-time workflows enabled via Chat.
For most of Actively's history, our intelligence has run quietly in the background, wired into Salesforce, Outreach, and the tools your customers already use. We're now building the product itself: the surface where users actually see what agents are doing, give direction, and collaborate in real time.
This is a foundational role. You'll own the core product experiences that define how Actively feels, from Python/FastAPI backends and workflows to the React/TypeScript interfaces that bring them to life. You'll establish the design patterns, platform architecture, and technical standards that every future surface is built on top of. You'll prototype new agent interactions, run experiments, and work directly with customers to make complex AI behavior feel natural and trustworthy.
For more on how we think about human-agent collaboration, see our blog post.
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