Per-Account Agents™ work every account 24/7, guide your team on what to do next, and help them do it. Even when your sellers are asleep. Backed by First Round Capital.
About the role
We're looking for research engineers to help accelerate post-training models specific to the GTM and sales domain. Our product which is used by thousands of sales reps and leaders daily across the entire lifecycle of prospecting, deal execution, expansion, and retention, and there is substantial insane demand for higher quality intelligence across these tasks. This role involves working directly with our founders to help us fine-tune intelligence and push the Pareto Frontier in our domain. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A track record of advancing ML systems through post-training, alignment, or related methods: RLHF, RLAIF, preference modeling, reward learning, or equivalent
- Strong fundamentals in probability, statistics, and ML theory. The ability to look at experimental data and distinguish real effects from noise and bugs
- Evidence of original contributions or working on similar problems in industry (preferably in startup environments). At least 3 years of full-time experience
- Unique ability to understand the end user tasks, domain, and build user empathy and intuition around judging what good, great, and bad looks like
More about this role
Actively AI is defining a new category: Intelligence-Led Revenue.
Revenue organizations have always been bottlenecked on human capacity. Reps triage which accounts get attention. Context disappears at every handoff. On any given day, the vast majority of accounts have exactly zero people thinking about them.
Actively addresses this at the structural level. Our platform deploys Per-Account AgentsTM across our customers’ TAM, working 24/7 to research, identify opportunities, and advance next steps without being asked. Leading enterprises including Ramp, Ironclad, and Samsara are already making this shift.
Our co-founders are former Stanford AI researchers, and the team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We've raised $68M from TCV, First Harmonic, Bain Capital Ventures, First Round Capital, and more.
We're looking for research engineers to help accelerate post-training models specific to the GTM and sales domain. Our product which is used by thousands of sales reps and leaders daily across the entire lifecycle of prospecting, deal execution, expansion, and retention, and there is substantial insane demand for higher quality intelligence across these tasks....
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