Customer Success Program Manager

Company Description Docket is an agentic marketing platform for B2B revenue teams, providing an AI Marketing Agent that engages website visitors in real time, answers product questions, qualifies intent, routes prospects, and books meetings. Powered by the Docket Sales Knowledge Lake™, it unifies approved product, pricing, security, and competitive intelligence so the AI responds only from governed, trusted information. The platform generates Agent Qualified Leads (AQLs) that include qualification status, intent signals, and rich context automatically synced to CRM systems. B2B customers see higher conversation rates, more qualified pipeline, improved win rates, and shorter sales cycles, with typical deployments going live in 7–14 days. Docket is SOC 2 Type II, ISO 27001, and GDPR certified, and it does not train on customer data, underscoring its commitment to security and privacy.

At Docket AI, we treat every team member like a founder. We're hiring for a role that sits at the intersection of customer ownership, AI fluency, and structured problem-solving.

What we're looking for

• Customer-facing ownership (2–3+ years) - You've owned customer relationships and outcomes directly — not in a support or purely operational capacity, but as someone accountable for the end-to-end experience. You understand what it means to carry ownership of a customer's success.
• AI fluency - You are genuinely fluent across modern AI tools - GPT, Codex, Claude, and others. You've built agents and used them to optimise both your professional workflows and your personal life. AI isn't a buzzword for you; it's how you operate.
• Structured problem-solving at scale -You can take a complex, ambiguous problem and design a scalable solution for it. (Shortlisted candidates will be given a real problem to work through — so come ready to think.)

Why Docket

We're a fast-moving AI company that gives people real ownership and the autonomy to build. If you want to operate like a founder and work alongside people who do the same, we'd love to talk.