Skip to content
MixpanelMixpanelSan Francisco, CA

Senior Revenue Strategy & Operations Manager

Strategic advisor and operating partner to the VP of Global Customer Success. Own customer retention, expansion, and post-sales operations by building data systems, forecasting, and AI tooling at a B2B SaaS company.

$183k – $248k/yr
Hybrid5+ YOERevenue Operations

About the job

Responsibilities

  • Customer analysis at the account level. Get hands-on with the data to understand what drives expansion, what predicts churn, and where the highest-leverage interventions live. Connect product usage signals, customer health, and commercial outcomes and translate the findings into decisions the CS org acts on.
  • Forecasting and pipeline rigor for the post-sales motion. Build and evolve how we forecast GRR, NRR, and expansion pipeline. Wire up the inputs yourself.
  • The CS operating cadence. Run the rhythm - business reviews, executive deep dives, leadership offsites - and make sure the right questions get asked with the right data behind them.
  • CS systems and tooling. Partner with our systems team on our CS platform and its integrations with Salesforce and our product data.
  • AI as a force multiplier. Build skills, agents, and automations that the whole CS org can adopt.
  • Strategic partnership with Global CS leadership. Act as a true business partner in the room, in the work, jointly owning the outcomes. Coordinate with peers supporting other functions to make sure the post-sales view connects to the broader GTM picture.

Requirements

  • 5+ years operating in Revenue Strategy, Sales Strategy, CS Operations, or Business Operations at a high-growth B2B SaaS company. Ideally smaller, fast-moving environments where you own outcomes end-to-end.
  • Direct experience supporting a Customer Success or Post-Sales organization. Worked alongside CS leadership, understand the mechanics of retention and expansion, and have driven measurable impact on GRR, NRR, or churn.
  • Hands-on with a CS platform. Deployed, administered, or deeply operated a CSP. Understand health scoring, playbooks, and lifecycle workflows.
  • Strong technical and analytical instincts. Write your own SQL, build your own models, and work directly with operational data.
  • Enterprise product experience. Worked on a product sold to Enterprise customers.
  • Structured thinking and commercial judgment. Work is rigorous, priorities are clear, and build for impact.
  • Exceptional communication. Move from a SQL query to an exec-level recommendation in the same hour.
  • Genuine, daily AI fluency. Built skills, agents, or automated workflows that others use.

Skills

SQLSalesforceCustomer Success PlatformsRevenue ForecastingGrr/Nrr AnalysisAI AutomationHealth ScoringLifecycle WorkflowsData ModelingBusiness Reviews