About the roleThis is a high-impact technical leadership role at the intersection of marketing, data engineering, and product. You'll build the MarTech stack from a strong foundation into a best-in-class engine - integrating tools across CRM, CDP, marketing automation, analytics, and AI-driven personalization - while partnering closely with product, engineering, and data teams to ensure marketing can move fast without breaking compliance.
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.
ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles - such as field-based sales or other remote-by-design positions - may have different work arrangements as noted in their individual postings.
