Sr Dir Digital Ecommerce and Marketing Engineering

About the Role

We are seeking a highly technical, visionary Senior Director of Digital Commerce & Marketing Engineering to lead the architecture, engineering, scalability, and performance of our global digital commerce ecosystem. In this role, you will bridge the gap between complex software engineering, modern marketing technology, and commercial business outcomes. You will own the technical roadmap, leading a high-performing team of engineers and architects to build secure, high-availability, and lightning-fast digital storefronts.

Responsibilities

• Technical Roadmap: Define and execute the technical architecture strategy for our global ecosystem, driving the evolution from legacy setups to modern architectural paradigms (e.g., MACH—Microservices, API-first, Cloud-native, Headless).
• Multi-Tenant B2C Storefront Network: Architect and scale the foundational multi-tenant B2C platform infrastructure that powers our independent dealers' customer-facing websites, ensuring strict data isolation, white-label configurations, and sub-second page-load performance across thousands of distributed endpoints.
• Core B2B & Commerce Integrations: Oversee the development of robust, secure APIs and middleware connecting the core B2B wholesale platform to critical enterprise backend systems (ERP, Order Management Systems/OMS, PIM, and CRM) to handle complex dealer interactions, customer pricing and promotions, and real-time fulfillment data.
• Visual CMS & Composable Strategy: Architect and manage integrations with modern Marketing Technology (MarTech) platforms, with a focus on Visual CMS and page-building engines (Builder.io) and Customer Data Platforms (CDPs like Segment).
• Component Governance & Direct Marketing Enablement: Establish engineering workflows to register, manage, and scale reusable frontend code components into our Visual CMS, enabling non-technical marketing teams to build dynamic web experiences without risking platform degradation.
• Personalization & Analytics Engines: Implement and scale real-time personalization, A/B testing & feature flagging (e.g., Launch Darkly), and search/merchandising engines (e.g., GroupBy, Algolia) directly into the storefront engineering pipeline.
• AdTech & Tracking Pipelines: Own the technical implementation of server-side tracking (e.g., Conversions API / CAPI) and data privacy-compliant tag management to support performance marketing and attribution.
• CI/CD & DevOps: Establish rigorous engineering standards, automated testing pipelines, and modern deployment practices to maximize release velocity while maintaining a zero-downtime deployment philosophy.
• Data & Event-Driven Infrastructure: Partner with data engineering teams to design event-driven architectures (using webhooks, message and event brokers) that pipe real-time transactional and behavioral data into cloud data warehouses (e.g., Snowflake) for instant analysis.
• Security & Compliance: Ensure the entire digital footprint adheres to global security standards, data privacy laws (e.g., GDPR, CCPA), and strict PCI-DSS compliance.
• Comprehensive QA Automation: Establish a next-generation automated testing strategy encompassing unit, integration, and E2E frameworks (e.g., Playwright). Implement automated API contract testing and visual regression testing to manage dynamic page layouts generated via Builder.io.
• Ecosystem Observability: Ensure all components of the digital ecosystem are observable in a centralized platform (e.g., Datadog) and provide meaningful actionable insights for performance optimization, scalability, issue resolution, and executive decision-making.
• Vendor & Team Governance: Build, mentor, and manage a hybrid engineering organization, combining internal talent with external resources. Define delivery standards, KPIs, and code-review guardrails for external partners.
• Buy vs. Build Strategy: Evaluate third-party SaaS vendors, system integrators, and open-source tools to make informed technical investment decisions.
• Budget Management: Own the infrastructure and technical licensing budget, optimizing cloud spend (AWS, GCP, Azure) and API consumption costs.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a heavily technical field.
• Experience: 10+ years of software engineering experience, with at least 5 years leading technical teams and architects within large-scale, multi-storefront eCommerce and MarTech environments.
• Proven Track Record: Experience scaling enterprise eCommerce platforms to millions of monthly active users, handling high-concurrency transactions, and managing massive syndicated product catalogs.

Skills

• Modern Commerce & Visual CMS: Deep experience with headless commerce providers (e.g., commercetools, Shopify Custom Storefronts, Elastic Path) and composable, visual-first CMS solutions (Builder.io, Contentful).
• Backend & Integration Stack: Proficiency in microservices, API Management, event-driven architecture (Kafka, RabbitMQ, AWS EventBridge), and languages like C#, .NET Core, JavaScript/TypeScript, or Python. Understanding of iPaas solutions.
• Frontend Infrastructure: Mastery of web performance concepts, Core Web Vitals optimization, SSR/SSG frameworks (Next.js, Nuxt), and Edge computing/CDNs (Cloudflare Workers, Fastly VCL).
• MarTech Ecosystem: Architectural familiarity with CDPs, server-side tracking, identity resolution, and marketing automation integrations.
• Cloud Infrastructure: Expertise in cloud platforms (Azure, AWS, GCP), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).
• DevOps: Strong understanding of DevOps principles, CI/CD tools, and infrastructure automation. Leadership in TDD, QA automation, and modern software engineering practices.
• Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.