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!
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