Senior Engineer, Website & GTM Systems

AvePoint; Arlington (VA); On-site; USD 180,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with match

Unlimited PTO

RSU/equity opportunities

Job summary

AvePoint seeks a technical, hands-on Engineering Manager to lead Web and GTM Operations. You will define a north-star GTM architecture, translate business objectives into a scalable technical roadmap, and drive delivery across marketing, data, and revenue systems.

You will lead a multidisciplinary team, ensure reliability, security, and modernization of the GTM stack, and push AI-native automation to unlock efficiency and growth.

Qualifications

• Proven experience leading engineers and owning delivery outcomes, including roadmap planning and stakeholder alignment.
• Strong SCRUM-based delivery with sprint planning and measurable throughput improvements.
• Experience designing large-scale web apps with reliability, performance, security, and cost efficiency.
• Cloud architecture and web delivery expertise (CDN, DNS, SSL/TLS, caching); event-driven/serverless patterns.
• Experience with headless CMS and modern frontend architectures (Craft CMS, SSR/ISR, API-driven content).
• CI/CD governance and Git-based deployment standards (GitHub/GitLab).
• Data flows for marketing/GTM data, identity alignment, and instrumentation for reliable attribution.
• SQL data literacy for data-driven decisions.
• AI literacy and practical application to engineering delivery and integration workflows.

Responsibilities

• Lead team and delivery operating model.
• Lead a high-performing engineering team and implement SCRUM to improve delivery speed.
• Set engineering standards for quality, security, documentation, and readiness across GTM systems.
• Own GTM technical roadmap and architecture.
• Translate business objectives into a multi-quarter technical roadmap across the tech stack.
• Establish a north-star GTM architecture and integration strategy.
• Own data infrastructure and measurement foundations.
• Own strategy and governance for marketing and GTM data platforms and pipelines.
• Ensure data integrity and measurable outcomes against core marketing metrics.
• Own web infrastructure, site reliability, and security for global web properties.
• Collaborate to improve observability and deployment reliability across marketing platforms.
• Oversee incident response for deployments, DNS, SSL/TLS, caching, CDN routing, and platform availability.
• Architect global consent/privacy orchestration while protecting measurement.
• Design AI-native integration patterns connecting LLMs to internal systems and GTM tools.

Skills

Engineering leadership

SCRUM delivery

Roadmap planning

Stakeholder alignment

Cloud architecture

Headless CMS

CI/CD governance

SQL data literacy

AI literacy

Tools

Craft CMS

GitHub

GitLab

Job description

About AvePoint

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 www.avepoint.com.

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 DevOps 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 experience leading engineers and owning delivery outcomes, including roadmap planning, dependency management, risk mitigation, and stakeholder alignment.
• Strong operational execution with SCRUM‑based delivery, sprint planning, and measurable throughput improvements.

Architecture and engineering depth

• Proven track record designing and delivering large‑scale web applications with a focus on reliability, performance, security, and cost efficiency.
• Solid grounding in cloud architecture and web delivery (CDN, DNS, SSL/TLS, caching) plus event‑driven, serverless, and API integration patterns.
• Experience with headless CMS and modern frontend architectures (e.g. Craft CMS, SSR/ISR, API‑driven content delivery).
• Strong CI/CD governance background, including enforcing Git‑based development practices and deployment standards (GitHub or GitLab).

Data, privacy, and measurement

• Strong understanding of marketing and GTM data flows, identity alignment, and instrumentation required to support reliable attribution and lifecycle measurement.
• Data literacy using SQL to query data.
• Demonstrated ability to design for privacy and consent requirements without breaking measurement or operational reporting.
• AI literacy: Familiarity with AI/ML concepts and practical application to engineering delivery and integration workflows.

The Salary Range for this role is $180,000 – $210,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions—apply even if your expectations fall outside the range. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.