Research Engineer, Post-Training

About Actively AI 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. 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. What You'll Accomplish Post-Training Recipe Development: Iterate on the full stack of datasets, training stages, and hyperparameters t