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Enterprise Demand Generation Lead

Maxima - San Mateo, CA, United States - In-office - posted 2026-09-25

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Maxima is an agentic AI platform for enterprise accounting that automates accounting work—journal entries, transaction matching, reconciliations, and flux analysis—while keeping humans in control. Founded by former finance leaders from Rubrik (scaled to $15B NYSE IPO), Netflix, and Meta, Maxima has raised $41M and processed $400B+ across 350M transactions at 100% accuracy for customers including Scale AI, Rippling, Glean, and Zendesk. As Enterprise Demand Generation Lead, you will own the full demand funnel and build a repeatable pipeline engine that connects account-based marketing, integrated campaigns, field activation, and lifecycle motions. Your mandate has two dimensions: capture existing demand from buyers actively seeking financial close and accounting automation solutions, and create demand for a new category—agentic accounting—that buyers don't yet have language for. As Maxima moves toward six-figure enterprise contracts, the demand engine must be architected for enterprise buyers, not mid-market. Your core responsibilities include: building and running ABM programs targeting controllers and senior accounting leaders at mid-market and enterprise companies; running integrated campaigns across paid, ABM, events, lifecycle, and web channels; owning a marketing-sourced pipeline target and optimizing for CAC, conversion velocity, and pipeline efficiency; experimenting rigorously across channels and messaging while measuring against ICP-focused metrics; architecting the buyer journey by connecting acquisition, field, ABM, lifecycle, intent, and Sales activation; building lifecycle and nurture systems that convert existing demand into engaged accounts; creating scalable playbooks and operating cadence for predictable quarter-over-quarter performance; analyzing and optimizing the funnel with visibility into pipeline creation, CAC, conversion, velocity, and channel performance; and partnering closely with Sales, GTM leadership, and cross-functional marketing teams to operate as one system around high-probability accounts. Your audience is time-pressed controllers and senior accounting leaders responsible for high-stakes workflows. Marketing reaching them must be rigorous and substantive, not hype-driven. REQUIREMENTS: - Deep experience in enterprise B2B demand generation with meaningful time selling into mid-market and enterprise buyers - Proven track record building or scaling a repeatable demand engine (not just running successful campaigns); understanding of how acquisition, field, ABM, lifecycle, intent, and Sales activation work together to create pipeline - Real depth in ABM and integrated campaigns: account identification, fit and intent signals, buying committees, multi-channel activation, and underlying operations - Owned or directly contributed to a meaningful pipeline number; ability to quantify opportunities, pipeline, and revenue generated - Full-funnel systems thinking; ability to diagnose constraints across audience, engagement, conversion, nurture, account activation, and Sales follow-up - Understanding of modern B2B demand architecture: lifecycle stages, nurture, routing, attribution, and funnel instrumentation - Creative and commercially minded; think naturally in pipeline, CAC, conversion, velocity, and revenue metrics - Demonstrated creative range: shipped B2B campaigns with consumer-grade quality and can show pipeline impact - Experience with categories requiring explanation before sale (demand creation, not just capture) - Enterprise B2B focus specifically; consumer and product-led growth experience does not substitute - Demonstrated exposure to excellent demand generation; looking for someone who has helped build something great, not someone building demand generation for the first time NICE TO HAVE: - Experience marketing to finance and accounting buyers - Familiarity with HubSpot, Clay, and AI-native ABM stacks - Experience marketing AI or agentic products - Fluency with modern go-to-market stack and AI in daily workflow

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