BeyondTrust

1 day ago

Manager, Demand Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Lead Demand Engineering as a cross-functional GTM architect embedded in the marketing organization, improving the full revenue funnel from top to bottom. Identify where pipeline leaks or stalls and ship systems to redesign the GTM motion using AI-powered orchestration, data infrastructure, and measurement frameworks. Partner across Demand Generation, Product Marketing, Campaign Management, and Revenue Operations to drive systemic change in demand creation and conversion.

Location: Toronto, United States, Canada

Workplace: Remote

Employment Type: Full time

Job Function: Revenue Operations (RevOps)

Seniority: Manager level

Key Responsibilities

•Analyze the full revenue funnel to identify where pipeline leaks, stalls, or fails to convert, including attribution and handoff failures.
•Translate funnel analysis into a prioritized engineering roadmap with measurable baselines and ongoing tracking.
•Design and implement AI-powered orchestration across inbound qualification, outbound sequencing, intent processing, lead scoring, and personalization.
•Engineer demand engine architecture: instrumentation, measurement frameworks, and durable fixes to systemic misalignments between strategy, execution, and infrastructure.
•Serve as the connective layer across Demand Generation, Product Marketing, Campaign Management, and sales to align GTM planning and translate insights into engineering decisions.

Key Requirements

•5 to 8 years in B2B marketing, demand generation, marketing operations, or GTM systems with measurable pipeline outcomes.
•Hands-on experience applying AI tools to real GTM workflows (inbound automation, outbound sequencing, intent signal processing, lead scoring, or similar).
•Deeply data literate: build attribution models, diagnose full-funnel performance, and identify root causes independently.
•Fluent across the modern Demand stack (ABM platforms, marketing automation, CRM, intent data, AI orchestration) with ability to build/debug systems.
•Comfortable building with low-code automation or API integrations to prototype and ship systems without waiting on engineering.

Experience:5-8 yearsB2B marketingDemand generationGTM systemsMarketing operations

Skills:Cross-functional collaborationSystems thinkingData-driven decision-makingInfluence without authorityEngineering mindset

Languages:English

Tech Stack:AI-powered workflowsInbound automationOutbound sequencingIntent signal processingLead scoringContent personalizationAttribution modelsData pipelinesABM platformsMarketing automationCRMIntent dataAI orchestration toolsLow-code automationAPI integrationsHuman-in-the-loop

Company Brief

BeyondTrust

Provides privileged access management, vulnerability management, and secure remote access solutions to help organizations protect credentials, manage privileges, and secure endpoints across on-premises and cloud environments.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Phoenix, United States

Website LinkedIn

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BeyondTrust

1 day ago

Manager, Demand Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Toronto, United States, Canada

Workplace: Remote

Employment Type: Full time

Job Function: Revenue Operations (RevOps)

Seniority: Manager level

Key Responsibilities

•Analyze the full revenue funnel to identify where pipeline leaks, stalls, or fails to convert, including attribution and handoff failures.
•Translate funnel analysis into a prioritized engineering roadmap with measurable baselines and ongoing tracking.
•Design and implement AI-powered orchestration across inbound qualification, outbound sequencing, intent processing, lead scoring, and personalization.
•Engineer demand engine architecture: instrumentation, measurement frameworks, and durable fixes to systemic misalignments between strategy, execution, and infrastructure.
•Serve as the connective layer across Demand Generation, Product Marketing, Campaign Management, and sales to align GTM planning and translate insights into engineering decisions.

Key Requirements

•5 to 8 years in B2B marketing, demand generation, marketing operations, or GTM systems with measurable pipeline outcomes.
•Hands-on experience applying AI tools to real GTM workflows (inbound automation, outbound sequencing, intent signal processing, lead scoring, or similar).
•Deeply data literate: build attribution models, diagnose full-funnel performance, and identify root causes independently.
•Fluent across the modern Demand stack (ABM platforms, marketing automation, CRM, intent data, AI orchestration) with ability to build/debug systems.
•Comfortable building with low-code automation or API integrations to prototype and ship systems without waiting on engineering.

Experience:5-8 yearsB2B marketingDemand generationGTM systemsMarketing operations

Skills:Cross-functional collaborationSystems thinkingData-driven decision-makingInfluence without authorityEngineering mindset

Languages:English

Company Brief

BeyondTrust

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Phoenix, United States

Website LinkedIn