Responsibilities

• Own the end-to-end MarTech stack — evaluate, select, implement, and optimize the tools and platforms that power acquisition, lifecycle marketing, analytics, and attribution across all channels.
• Lead marketing data strategy: build and maintain a clean, unified view of the customer across B2C (consumers), B2B (enterprise partners), and B2G (agency relationships) — connecting CRM, CDP, and data warehouse layers.
• Drive marketing automation at scale — design and manage workflows, nurture programs, triggered campaigns, and segmentation logic across email, SMS, in-app, and paid channels.
• Build and govern attribution and measurement infrastructure — ensuring marketing has accurate, privacy-compliant models to understand what's driving growth across a complex multi-touch funnel.
• Partner with engineering and data teams to define and maintain the data pipelines, event tracking schemas, and identity resolution logic that underpin marketing decisioning.
• Evaluate and deploy AI and machine learning applications in marketing — from predictive lead scoring and churn modeling to personalization and content optimization.
• Ensure all MarTech operations are compliant with GDPR, CCPA, FedRAMP, and ID.me's own privacy and data governance standards — this is non-negotiable in an identity company.
• Translate business objectives into technical requirements and vice versa — you're equally comfortable in a strategy meeting with the CMO and a technical architecture review with engineering.

Requirements

• 8+ years in marketing technology, marketing operations, or growth engineering
• Deep hands-on expertise with core MarTech platforms — Salesforce Marketing Cloud, HubSpot, Marketo, or equivalent — plus experience with CDPs (Segment, mParticle, or similar) and data warehouses (Snowflake, BigQuery).
• Strong understanding of identity resolution, customer data unification, and the technical challenges of matching users across anonymous, authenticated, and partner data.
• Experience building marketing infrastructure in a regulated or privacy-sensitive environment — you understand the stakes of handling PII and can architect compliant systems.
• Proficiency with SQL and comfort working directly in data pipelines; ability to partner with engineers as a technical peer, not just a stakeholder.
• Proven experience with attribution modeling and marketing analytics, including multi-touch attribution, incrementality testing, and media mix modeling.
• Track record of building and leading cross-functional teams that sit at the intersection of marketing and engineering.
• Strong vendor management experience — you know how to negotiate contracts, evaluate build vs. buy decisions, and manage a complex portfolio of tools without letting it sprawl.