Staff Marketing Technology Engineer - Absorb LMS

“As our Marketing Technology Engineer, you’ll do more than keep our data platform humming — you’ll build the AI applications and agents that put that data to work, automating how our marketing and product teams operate. You’ll own the full path from a mature BigQuery and dbt foundation to deployed, secure, production-grade tools that give every team leverage. If you’re excited to engineer at the intersection of data, AI, and marketing — and to do it with real craftsmanship — come help us redefine the landscape of e-learning solutions.”
— Saravana Sivanandham, CMO

Absorb Software is looking for a Marketing Technology Engineer to own and evolve the technology behind our data-driven and AI-driven marketing. This is a dual mandate. On one side, you’ll steward a mature data platform — a BigQuery warehouse with dbt-based transformations — ensuring clean, reliable, well-governed data. On the other, you’ll design, build, and deploy applications and AI agents on Google Cloud that automate marketing and product work and give our teams self-serve leverage.

Throughout, you’ll set the engineering bar. Much of what you build will be created with AI assistance, and your job is to make sure that code is held to professional standards: version-controlled, reviewed, tested, securely deployed, and maintainable. This is a senior individual-contributor role that provides technical leadership and architectural direction across our marketing technology stack. It does not have direct reports.

What You'll Do

• Data Platform Ownership: Own and evolve our marketing data platform — a BigQuery data warehouse with dbt-based transformations — designing and maintaining ETL/ELT pipelines that connect diverse data sources and scale as measurement needs grow.
• AI & Automation Engineering: Design, build, and deploy applications and AI agents on Google Cloud — exposing backends for agentic use and lightweight frontends/UIs where needed — to automate marketing and product workflows.
• Self-Serve Tooling: Develop AI-powered tools that let Marketing, Product, and other teams self-serve automation, and apply AI to automate data-engineering work itself.
• Engineering Best Practices: Uphold engineering standards across an AI-assisted codebase: Git-based version control, code review, semantic versioning, automated testing, and CI/CD for clean, reproducible deployments. You are the quality gate ensuring AI-generated code is production-ready.
• Data Security & Governance: Own data security and governance across the platform: least-privilege access (IAM), secret management, PII handling, BigQuery row/column-level security, and guardrails on AI systems (e.g., against prompt injection and data exfiltration).
• Cross-Functional Collaboration: Collaborate closely with Marketing, Finance, Sales, Marketing Operations, Data Analysts, and BI specialists to understand data and tooling needs, ensure data integrity, and resolve discrepancies.
• Strategic Tech Shaping: Shape the marketing technology and AI platform stack, aligning it with strategic priorities to maximize business impact and growth.
• Risk Mitigation: Assess and mitigate risks to delivery timelines, quality, stability, and performance across data and AI infrastructure.
• Technical SME: Serve as a subject-matter expert in data architecture, AI application engineering, and marketing technology — staying current through research, proofs of concept, and reusable frameworks.

What You'll Bring

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
• Experience: 5+ years of data engineering experience, with demonstrated breadth into software and/or AI application development.
• Core Tech: Required experience with BigQuery and dbt, along with a solid understanding of data-warehouse modeling concepts.
• Programming & Data: Expertise in SQL and Python, and proven experience designing/implementing ETL/ELT processes and pipelines (batch and streaming) and API integrations.
• AI & Cloud Apps: Experience building and deploying AI/LLM applications and agents (e.g., Vertex AI / Agent Builder, LangChain/LangGraph), API design (e.g., FastAPI), and evaluating AI system reliability.
• DevOps & Cloud: Hands-on experience deploying applications on Google Cloud (Cloud Run, Cloud Functions, GKE), containerization (Docker), and Infrastructure-as-Code (Terraform).
• Engineering Hygiene: Strong fundamentals in Git-based workflows, code review, automated testing, and CI/CD pipelines.
• Security Knowledge: Working knowledge of data security and governance best practices (IAM, secret management, PII handling).
• Bonus Points:
  • Familiarity with Fivetran and marketing tools (CMS, CRM, experience management, email marketing, tracking tools).
  • Familiarity with data visualization tools such as Power BI or Tableau.

What We Offer

• Fully remote-first work environment with flexible arrangements 🏡
• Comprehensive Health and Wellness Benefits including retirement savings programs, eligibility for two different bonus plans, generous time off, and comprehensive medical/dental benefits 🧘
• New Hire Equipment Allowance and monthly Flex Allowance 📦
• Endless opportunity for career growth and internal mobility 🌱
• Employee-driven DE&I programs 🫶

About Absorb Software

Absorb Software is a global AI-driven learning platform provider helping organizations unlock workforce potential. The Absorb LMS platform delivers personalized, scalable, and engaging learning experiences for employees, customers, and partners worldwide, trusted by over 3,300 organizations and 34 million users.