Senior Manager, Revenue Strategy and Operations New York, New York, United States

Responsibilities

Own pipeline and bookings analytics
- Analyze pipeline health, bookings performance, and funnel conversion across segments — identify opportunities to refine data quality and drive higher bookings outcomes
- Build and maintain attribution models, stage definitions, and reporting frameworks that give Sales and Finance a clear, real-time view of GTM performance
- Own the integration of AI into Maven's reporting frameworks to improve forecast accuracy and speed of insight delivery; leverage automation to shift from reactive reporting to proactive identification of risk, upside, and strategic opportunities for Sales and Finance leadership
- Partner with Sales leadership to deliver actionable insights and surface risk and upside early

Own the GTM data architecture
- Define how revenue data should be structured and governed in Salesforce — own the logic that flows downstream into revenue reporting, customer success, and client operations
- Ensure data integrity across the GTM stack; partner with data engineering and strategic finance to build and maintain QA processes that catch issues before they hit reporting
- Identify and implement process improvements across systems and workflows; comfortable getting into the details and solving problems end to end

Own commissions and incentive design
- Design and manage Maven's commission plans across Sales and Marketing — build plans that align incentives with company priorities and drive the right outcomes
- Own the models that calculate payouts; build a system that is organized, auditable, and scalable as the team grows
- Leverage AI to automate commission calculations, flag anomalies, and reduce manual reconciliation, freeing capacity for higher-order plan design and strategic compensation analysis
- Partner with Finance and Sales leadership on quota setting, plan changes, and attainment tracking on an ongoing basis

Qualifications

• 4–6 years of experience in management consulting, investment banking, private equity, or strategic finance at a high-growth company
• Exceptional analytical and quantitative skills; proven ability to structure ambiguous problems and synthesize complex data into clear recommendations
• Strong communicator — able to distill technical analyses into compelling insights for senior stakeholders
• Advanced proficiency in Excel / Google Sheets and SQL; experience with Salesforce and BI tools (Looker, Tableau) strongly preferred
• Working familiarity with AI and automation tools in a GTM or analytical context to accelerate analysis, surface insights, or streamline workflows; a demonstrated curiosity about how emerging AI capabilities apply to revenue strategy and operations
• Self-motivated with a bias for action; comfortable operating in dynamic, fast-moving environments and getting into the details when needed
• Collaborative, intellectually curious, and energized by hard problems