### Who you are5 to 8 years in B2B marketing, demand generation, marketing operations, or GTM systems, with a track record of improving measurable pipeline outcomesThinks like an engineer: approaches demand gen as a system to be designed and optimized, not a campaign calendar to be managedHands-on experience with AI tools in a real GTM context — inbound automation, outbound sequencing, intent signal processing, or similar — integrated into actual workflows, not just pilotedDeeply data literate: can build attribution models, diagnose full-funnel performance, and identify root causes without needing a translatorFluent across the modern Demand stack: ABM platforms, marketing automation, CRM, intent data, AI orchestration tools. Understands how the components connect and where they break, and is hands-on enough to build and debug just navigate the UIComfortable building, whether with no/low-code automation platforms or API integrations, enough to prototype and ship without waiting on engineeringStrong cross-functional operator: drives change through influence across Demand Gen, Product Marketing, Campaign Management, and sales without direct authorityCybersecurity or enterprise tech background preferred but not required### What the job involvesThe Manager, Demand Engineering reports to the SVP, Growth Marketing, and operates as a cross-functional GTM architect embedded oss Demand Generation, Product Marketing, and Campaign ManagementThis is a builder role: equal parts operator and architect, with a mandate to ship working systems, not slidewareThis person’s mandate is to identify where the revenue funnel breaks or leaks, across the full funnel from top to bottom, and engineer solutions to fix themThat includes top-of-funnel inbound and outbound automation, mid-funnel conversion friction, attribution gaps, and handoff failures between marketing and salesThe fix is not more campaigns; it is redesigning the GTM motion itself: introducing AI-powered orchestration, building the data infrastructure needed to make the system visible, and establishing a new operating model for how BeyondTrust creates and converts demandThis role connects Demand Generation, Product Marketing, and Campaign Management, using AI and GTM orchestration to make the whole system perform at a higher levelThis role drives systemic change across three marketing functions rather than owning a single defined area: Demand Generation is the team whose outcomes this role is designed to improveThe role works alongside Demand Gen leadership to diagnose performance gaps, introduce AI-powered workflows, and fix programs that are structurally underperformingProduct Marketing provides the messaging frameworks and competitive context the demand system must be grounded inThis role feeds demand signals back to Product Marketing and ensures demand gen engineering decisions reflect current positioningCampaign Management handles executionThis role works with Campaign Management to translate GTM Engineering decisions into programs, and to identify which execution patterns need to be redesigned at the system levelBeyond marketing, this role will partner with internal teams, including Revenue Operations, where marketing systems intersect with CRM data and pipeline reportingFunnel Intelligence and Inefficiency Identification: Analyze the full revenue funnel — top to bottom — to identify where pipeline is leaking, stalling, or failing to convert. This includes top-of-funnel inbound and outbound motion, mid-funnel conversion gaps, attribution blind spots, and marketing-to-sales handoff failuresTranslate funnel analysis into a prioritized engineering roadmap — interventions ranked by pipeline impact and feasibility, with baselines and improvement tracked over timeMake funnel performance consistently visible and trusted by revenue leadershipAI and Demand Gen Orchestration: Design and implement AI-powered workflows across the full funnel: inbound lead qualification, outbound sequencing, intent signal processing, lead scoring, content personalization, and pipeline accelerationEvaluate and introduce demand orchestration platforms that connect data signals, marketing execution, and sales activation into a coordinated, automated motionBuild internal playbooks so AI and automation become embedded one-off experiments, and stay ahead of the evolving tooling landscapeEstablish guardrails for safe, governed AI use against marketing and revenue data, including permissioning, read/write boundaries, and human-in-the-loop checkpoints, so automation earns trust as it scalesGTM System Architecture: Design and continuously optimize BeyondTrust’s demand engine — the integrated system of data signals, technology platforms, AI-powered workflows, and coordinated tactics that produces pipeline at scaleDefine the instrumentation and measurement framework that makes every component of the demand engine visible, attributed, and connected to revenue outcomesEngineer durable solutions to systemic misalignments between strategy, execution, and infrastructure, not incremental patchesTranslate ambiguous “we should automate this” ideas into scoped, measurable, and maintainable systems, with a bias toward solutions that are trustworthy over clever-but-fragileCross-Functional GTM Alignment: Serve as the connective layer across Demand Generation, Product Marketing, Campaign Management, and sales, translating insights from each into engineering decisions that improve the system as a wholeDrive GTM planning cadences that create a shared view of funnel performance, pipeline gaps, and the prioritized GTM Engineering roadmapBuild trust across functions by delivering insights and solutions that make each team more effective — driving change through influence, not org chart authorityData, Intelligence, and Attribution: Build and maintaorting frameworks, and data pipelines that make the demand engine measurable, accounting for multi-touch, multi-channel buyer journeysUse data to identify gaps by segment, region, and product line, and translate findings into engineering decisionsOwn the systems that keep marketing data clean and trustworthy, so downstream reporting and AI outputs are reliable by default and trusted across the revenue organizationProduct Marketing Collaboration: Ensure the demand system is grounded feed demand signals back to Product Marketing to inform strategyAlign the Demand Gen Engineering roadmap with product launch timelines across all product lines
27 days ago