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.
About the job
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
SQL, Prompt Engineering, AI Agents, Workflow Automation, AI/ML, Product Management
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