What you'll own

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.

What we're looking for

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.