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Actively AIActively AINew York, NY

Agent Engagement Manager

Designs, deploys, and optimizes AI agents for enterprise customers' GTM workflows post-sale. Collaborates with sales teams and engineers, analyzes performance with SQL, and drives AI adoption. Requires 4+ years in product management, consulting, or GTM operations with technical fluency.

140k – 180k
On-site4+ YOECustomer Success

About the role

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

Compensation and Benefits

Compensation Range: $140,000—$180,000 USD

Benefits

  • Competitive Early-Stage Equity
  • Health, Dental, Vision Coverage
  • Unlimited PTO + Recharge Days
  • Catered Lunch on Tuesday & Friday, Dinners every day!
  • Fully Stocked Kitchen
  • Cutting-Edge Tech & Tools
  • Annual Off-sites & Monthly Events
  • Commuter Benefits

Skills

SQLPrompt EngineeringAI AgentsWorkflow AutomationAI/MLProduct Management
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