opengreenhousebaincapitalventures
Agent Engagement Manager
Actively
LocationNew York City, NYC
Last observed2026-06-24 08:29:24.729752
Job idbaincapitalventures-actively:greenhouse:5131835008
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 As one of our Agent Engagement Managers, you'll be at the forefront of how B2B companies transform their GTM strategies with AI. You'll work directly with enterprise customers to design, build, and optimize AI-powered workflows that revolutionize how their sales and marketing teams identify and engage prospects. This is a high-impact, hands-on role that combines product management, technical implementation, and direct customer-facing work. You'll embed with customer teams to understand their unique GTM processes, then architect and deploy AI agents that integrate into, complement or replace their existing workflows. Working closely with Sales, Forward Deployed Engineers, and leadership, you'll ensure customers aren't just adopting our platform but fundamentally changing how they approach revenue generation as an AI-first GTM org. What You’ll Do Design and deploy AI agents tailored to each customer's specific GTM workflows, pain points, and objectives Own the full post-sale lifecycle for a portfolio of enterprise customers, implementing repeatable methodologies for agent deployment, training, and ongoing optimization Collaborate directly with customer stakeholders (SDRs, AEs, Sales Leaders) to map existing processes and identify optimization opportunities Run continuous optimization cycles — analyzing performance data, gathering user feedback, and iterating on agent configurations to maximize ROI Act as technical product advisor to customer leadership teams, helping them envision and execute their AI-driven GTM roadmap Partner with Forward Deployed Engineers to build and deliver customized product solutions that fit and enhance customer workflows Build and manage enablement programs for SDRs and AEs to ensure successful adoption of AI-powered workflows Translate frontline insights into scalable product improvements and new use case opportunities Who You Are 4+ years experience in one or more of the following: Product Management, Consulting, Investment Banking, former founder, GTM operator in early stage startups Technical fluency with ability to understand AI agent logic, prompt engineering, and workflow automation Skilled at working cross-functionally with technical teams like Product Engineering and FDEs Proficient in SQL with strong analytical instincts for measuring and optimizing performance Customer-obsessed problem solver who thrives on building trust and driving measurable business outcomes Excited to build processes from scratch in a fast-moving environment with high ambiguity Comfortable wearing multiple hats and stepping into complex technical and business challenges Nice to Haves Experience at an early-stage startup building and scaling functions and processes Background in a technical field (CS, Stats, Engineering, Economics, etc) Previous experience with AI/ML product implementation or prompt engineering Track record of driving product adoption and measurable customer outcomes Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in s
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