×
Register Here to Apply for Jobs or Post Jobs. X

Engineering Manager

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: AvePoint
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, IT Project Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 210000 USD Yearly USD 180000.00 210000.00 YEAR
Job Description & How to Apply Below

About Ave Point

AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI. More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments. With a single platform for lifecycle control, multicloud governance, and rapid recovery paired with clear ownership across the business, we prevent overexposure and sprawl, modernize legacy and fragmented data, and minimize data loss and interruption.

Our global partner ecosystem includes approximately 6,000 MSPs, VARs, and SIs, and our solutions are available in over 100 cloud marketplaces. To learn more, visit

About the Role

AvePoint is looking for a technical, hands‑on Engineering Manager to join Web and GTM Operations and manage our Engineering function. This leader will serve as a trusted advisor to operations leadership and executives, defining a north‑star GTM architecture and translating business objectives into a prioritized technical roadmap while partnering closely with Growth, Website, and Business Operations to engineer a modern, high‑performing GTM motion and website infrastructure across the entire customer journey.

You will be responsible for turning strategy into scalable, automated execution by owning roadmap delivery, technical design, and cross‑functional alignment across marketing, data, and revenue systems. You will lead a multidisciplinary engineering team, drive SCRUM delivery rigor, and own the reliability, security, and modernization of our GTM tech stack, web platform, and data infrastructure. You must be deeply focused on data, experimentation, and leveraging AI to unlock new levels of efficiency and growth while confidently challenging the status quo to build a world‑class GTM engine.

This role owns three mission‑critical areas: GTM infrastructure, data foundations, and AI‑driven automation, requiring strong engineering judgment, stakeholder leadership, and the ability to drive delivery from concept to deployment.

Key Responsibilities
  • Lead team and delivery operating model
  • Lead a high‑performing engineering team and implement SCRUM practices to increase delivery speed and predictability.
  • Set engineering standards for quality, security, documentation, and operational readiness across GTM systems.
  • Own GTM technical roadmap and architecture
  • Translate business objectives and innovation priorities into a multi‑quarter technical roadmap across the tech stack and web platform.
  • Establish and maintain a “north‑star” GTM architecture and integration strategy that improves scalability, measurement, and governance.
  • Own data infrastructure and measurement foundations
  • Own strategy and governance for marketing and GTM data platforms, pipelines, event collection, and identity alignment across systems (from first touch to lifecycle).
  • Ensure data integrity and measurable outcomes against core marketing metrics (including MQL) through consistent instrumentation and standardization.
  • Own web infrastructure and site reliability
  • Maintain the health, performance, availability, and security of global web properties supporting the GTM stack across CDN, cloud, and application infrastructure.
  • Partner with Engineering and Dev Ops to improve observability, deployment reliability, uptime, and performance optimization across marketing web platforms.
  • Oversee incident response processes and operational readiness for deployments, DNS, SSL/TLS, caching, CDN routing, and platform availability.
  • Compliance, privacy, and security by design
  • Architect global consent and privacy orchestration (including cookie compliance) while protecting measurement and data integrity.
  • Ensure systems and processes meet internal compliance, security, and auditability standards through enforceable governance and repeatable controls.
  • AI‑native enablement
  • Design and build AI‑native integration patterns using Model Context Protocol (MCP) servers to connect LLMs and AI agents to internal systems and GTM tools, enabling secure AI workflows on top of core platforms.
Job Requirements – Leadership and delivery
  • Proven…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary