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BeyondTrust

Manager, Demand Engineer

RemoteCanada, United States only
Published
Role
Marketing
Experience
Senior
Salary not disclosed
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Open to CA, US only. Set where you work from to check your eligibility.

No BS summary

B2B demand generation/GTM systems manager with 5–8 years improving pipeline outcomes. Must be hands-on with AI-enabled GTM workflows, attribution, CRM/marketing automation, ABM, intent data, and no/low-code or API integrations. Remote role hiring in Canada or the United States.

Core skills

AI toolsMarketing automationCRM

Required skills

ABM platformsIntent dataAI orchestration toolsNo-code automation platformsLow-code automation platformsAPI integrations

What you'll do

  • Analyze the full revenue funnel — top to bottom — to identify where pipeline is leaking, stalling, or failing to convert.
  • Analyze 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 with interventions ranked by pipeline impact and feasibility, with baselines and improvement tracked over time.
  • Make funnel performance consistently visible and trusted by revenue leadership.
  • 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 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.
  • 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 automation ideas into scoped, measurable, and maintainable systems, with a bias toward trustworthy solutions.
  • 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.
  • Build and maintain 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.
  • Ensure the demand system is grounded in current product positioning and competitive context, and feed demand signals back to Product Marketing to inform strategy.
  • Align the Demand Gen Engineering roadmap with product launch timelines across all product lines.

What they require

  • 5 to 8 years in B2B marketing, demand generation, marketing operations, or GTM systems, with a track record of improving measurable pipeline outcomes.
  • Thinks like an engineer: approaches demand gen as a system to be designed and optimized, not a campaign calendar to be managed.
  • Hands-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 piloted.
  • Deeply data literate: can build attribution models, diagnose full-funnel performance, and identify root causes without needing a translator.
  • Fluent 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 in these systems, not just navigate the UI.
  • Comfortable building, whether with no/low-code automation platforms or API integrations, enough to prototype and ship without waiting on engineering.
  • Strong cross-functional operator: drives change through influence across Demand Gen, Product Marketing, Campaign Management, and sales without direct authority.
  • Preferred: Cybersecurity or enterprise tech background preferred but not required.

Benefits

  • Bring your purpose to life through work that creates a safer world.
  • Culture of flexibility, trust, and continual learning.
  • You will be recognized for your growth and the impact you make on company success.
  • You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.
  • We take care of our employees so they can take care of our customers.

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Its identity-centric cybersecurity SaaS portfolio helps organizations manage the identity attack surface and neutralize threats from external attacks or insiders.

CybersecurityEnterprisebeyondtrust.com/

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