Manager, Demand Engineer

About this role

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

The Manager, Demand Engineering reports to the SVP, Growth Marketing, and operates as a cross-functional GTM architect embedded in the marketing organization, across Demand Generation, Product Marketing, and Campaign Management. This is a builder role: equal parts operator and architect, with a mandate to ship working systems, not slideware.

This 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 them. That includes top-of-funnel inbound and outbound automation, mid-funnel conversion friction, attribution gaps, and handoff failures between marketing and sales. The 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 demand.

This role connects Demand Generation, Product Marketing, and Campaign Management, using AI and GTM orchestration to make the whole system perform at a higher level.

This 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 improve. The role works alongside Demand Gen leadership to diagnose performance gaps, introduce AI-powered workflows, and fix programs that are structurally underperforming.

Product Marketing provides the messaging frameworks and competitive context the demand system must be grounded in. This role feeds demand signals back to Product Marketing and ensures demand gen engineering decisions reflect current positioning.

Campaign Management handles execution. This 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 level.

Beyond marketing, this role will partner with internal teams, including Revenue Operations, where marketing systems intersect with CRM data and pipeline reporting.

What You’ll Do

Funnel 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 failures.

• Translate funnel analysis into a prioritized engineering roadmap — interventions ranked by pipeline impact and feasibility, with baselines and improvement tracked over time.

• Make funnel performance consistently visible and trusted by revenue leadership.

AI 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 acceleration.

• Evaluate and introduce demand orchestration platforms that connect data signals, marketing execution, and sales activation into a coordinated, automated motion.

• Build internal playbooks so AI and automation become embedded in day-to-day demand operations, not one-off experiments, and stay ahead of the evolving tooling landscape.

• Establish 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 scales.

GTM 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 scale.

• Define the instrumentation and measurement framework that makes every component of the demand engine visible, attributed, and connected to revenue outcomes.

• Engineer durable solutions to systemic misalignments between strategy, execution, and infrastructure, not incremental patches.

• Translate ambiguous “we should automate this” ideas into scoped, measurable, and maintainable systems, with a bias toward solutions that are trustworthy over clever-but-fragile.

Cross-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 whole.

• Drive GTM planning cadences that create a shared view of funnel performance, pipeline gaps, and the prioritized GTM Engineering roadmap.

• Build trust across functions by delivering insights and solutions that make each team more effective — driving change through influence, not org chart authority.

Data, Intelligence, and Attribution

• Build and maintain the attribution models, reporting frameworks, and data pipelines that make the demand engine measurable, accounting for multi-touch, multi-channel buyer journeys.

• Use data to identify gaps by segment, region, and product line, and translate findings into engineering decisions.

• Own the systems that keep marketing data clean and trustworthy, so downstream reporting and AI outputs are reliable by default and trusted across the revenue organization.

Product Marketing Collaboration

• Ensure the demand system is grounded in curre

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