Manager, Partner Success Strategy & Operations

Ramp Ramp · Fintech · San Francisco, CA · Sales

Manager role focused on building and scaling AI-augmented systems for partner-referred customer activation and onboarding within a B2B SaaS finance company. The role involves defining strategy, operationalizing scalable CS programs using AI and automation, and leading a team of Customer Success Managers, emphasizing AI fluency and its application in customer journeys.

What you'd actually do

  1. Own the activation and early-retention strategy for partner-referred customers in close partnership with CS leadership, Channel Partner Managers, Product, and Growth.
  2. Design CS segmentation strategies as Ramp expands into new partner verticals and customer profiles — using data modeling and AI-driven scoring to route customers to the right touch at the right time.
  3. Build, iterate, and optimize scalable CS programs that improve activation outcomes across thousands of customers and expand CSM coverage of partner-held accounts.
  4. Leverage AI tooling, workflow automation, and predictive analytics to diagnose activation bottlenecks, surface at-risk accounts early, and drive operational recommendations.
  5. Manage, coach, and develop a team of 6–8 Scaled CSMs, each supporting ~100 net-new customers per month.

Skills

Required

  • 5+ years in strategy & operations, consulting, CS operations, or revenue operations within high-growth B2B SaaS
  • 2+ years managing high-performing CS, operations, or activation teams
  • 3+ years working in or closely with channel partnerships
  • Strong financial acumen
  • Sharp analytical instincts
  • Demonstrated experience designing or managing customer activation or onboarding programs at scale
  • Proven cross-functional leadership
  • Comfort with ambiguity and the drive to build v1 programs from the ground up

Nice to have

  • CPA, CMA, or other financial certification
  • Direct experience selling to, onboarding, or supporting Controllers, CFOs, or finance teams
  • Customer-facing or quota-carrying experience
  • Experience building scaled education content, webinars, or training programs
  • Familiarity with product-led or hybrid-touch CS models
  • Hands-on experience with AI/ML applications

What the JD emphasized

  • build v1 partner programs at scale
  • architect the systems — human, automated, and AI-augmented
  • reach for AI and automation before adding headcount
  • Strong AI fluency
  • actively use AI tools (LLMs, copilots, automation platforms) in your daily work
  • point of view on where AI should — and shouldn't — replace human touchpoints
  • AI-augmented workflows