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.
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
SQL, Salesforce, Customer Success Platforms, Revenue Forecasting, Grr/Nrr Analysis, AI Automation, Health Scoring, Lifecycle Workflows, Data Modeling, Business Reviews
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