Madison Logic is a company that helps marketers align decision-makers throughout the buying journey using data-driven insights. The Revenue Operations Manager (Sales & CX) will design processes, define metrics, and run the cadences that keep the revenue engine aligned with company growth objectives while partnering with key leadership to translate executive strategy into actionable plans.
Responsibilities:
- Ensure sellers have clear territories, clean data, effective processes, and actionable insights to hit revenue targets
- Support annual and quarterly sales planning, including quota setting, territory design, and capacity modeling
- Translate company growth goals into measurable sales targets, KPIs, and dashboards
- Partner with Sales & Marketing leadership to outline ICP definitions and funnel stages
- Analyze pipeline health, conversion rates, and coverage to recommend actions for hitting targets
- Facilitate weekly forecasting and pipeline and delivery review processes with Sales, CX & Exec leadership
- Define and monitor sales core metrics including activity, prospecting funnel engagement, pipeline, bookings, quota attainment and revenue performance and surface insights to drive improvements
- Document, optimize, and enforce end‑to‑end sales processes from lead to renewal
- Build and maintain playbooks for opportunity management, forecasting, and handoffs between Sales and Delivery Ops Teams
- Identify friction in the seller workflow and drive improvements (e.g., fewer clicks, clearer stages, better handoffs)
- Partner with Marketing & Enablement to roll out process changes, training, and reference guides
- Demonstrated expertise in the GTM tech stack used across Sales and CX, including advanced, day‑to‑day ownership of our prospecting, CRM, data enrichment, contracting, and conversation‑intelligence tools (e.g., LinkedIn Sales Navigator, Salesforce, ZoomInfo, Conga, Gong)
- Champion AI adoption across RevOps to eliminate manual work and improve decision quality
- Identify, prioritize, and implement high‑impact AI and automation use cases (e.g., pipeline summaries, renewal risk alerts, QBR prep, forecast anomaly detection)
- Design and maintain AI‑powered workflows, alerts, and automation rules in partnership with systems and data teams
- Use AI tools to automate data pulls, reporting, and first‑pass analysis for sales and CX stakeholders
- Leverage integration and automation platforms (e.g., Tray.io) to orchestrate data between systems and embed scalable, AI‑driven automations into day‑to‑day revenue operations
- Evaluate and recommend improvements to our GTM tech stack, including assessing new tools and managing pilots with vendors
- Define NRR, GRR, and logo retention metrics with clear, documented calculation methodologies
- Build renewal and expansion pipeline workflows in Salesforce and our CS platform
- Document and optimize post‑sale workflows (onboarding, EBRs, renewals, and expansion motions) in partnership with CS and Delivery teams
- Create and iterate on a customer health scoring framework and playbook effectiveness measurement
- Partner with CS leadership on coverage models, capacity planning, and segmentation
Requirements:
- 5–7 years of experience in Sales Operations, Customer Success Operations, or Revenue Operations (B2B SaaS preferred)
- Demonstrated experience supporting both new-business sales (AEs/SDRs) and post-sale CS/AM teams
- Strong Salesforce power-user skills, including data model understanding, process design, and reporting; comfortable collaborating with admins and developers
- Strong analytical capability with Excel/Google Sheets and familiarity with SQL or BI tools
- Proven track record using AI and automation to drive operational efficiency and improve GTM performance
- Excellent communication and stakeholder management skills; able to influence senior leaders and translate business needs into clear operational requirements