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.
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
Manager, Customer Success
Lead and develop a team of Onboarding Specialists while architecting AI-powered Customer Success workflows. Drive post-sales engagement, retention, and operational excellence at a high-growth SaaS company.
Scaled Success Program Manager
Partner with engineering leaders to drive adoption and measurable productivity gains for a GenAI code review platform. Requires 5+ years in Customer Success or DevRel at a SaaS/developer tools company plus strong technical fluency with CI/CD, Git, and engineering metrics.
Sr. Customer Success Manager
Manage enterprise customer relationships at Okta, driving retention, expansion, and value realization through strategic success plans and C-level engagement. Requires 5+ years in customer success or account management with large SaaS enterprises.
Customer Success Manager II
Drive customer adoption and expansion of an automation platform by leading onboarding, managing renewals, and acting as a trusted advisor to technical teams. Requires 3+ years in technical customer success or post-sales at a SaaS company plus API knowledge.
Principal, Customer Success
Lead and scale the Aircraft Division Customer Success function, owning the Critical Accounts Program for V-BAT and X-BAT defense customers. Drive adoption, mission readiness, and recovery for escalated accounts while building repeatable operating rhythms and cross-functional governance.