Director of Martech

About the role

This senior technical leadership position sits at the crossroads of marketing, data engineering, and product development. You will transform an existing MarTech foundation into a high-performing system by connecting CRM, CDP, marketing automation, analytics, and AI-driven personalization tools. The role requires close collaboration with product, engineering, and data teams to help marketing operate quickly while maintaining compliance standards.

Key facts

What you'll do

• Manage the complete MarTech stack including evaluation, selection, implementation, and optimization of platforms supporting acquisition, lifecycle marketing, analytics, and attribution
• Develop marketing data strategy that creates a unified customer view across B2C consumers, B2B enterprise partners, and B2G agency relationships by connecting CRM, CDP, and data warehouse layers
• Design and operate marketing automation workflows, nurture sequences, triggered campaigns, and segmentation logic for email, SMS, in-app, and paid channels
• Build and maintain attribution and measurement systems with privacy-compliant models that clarify growth drivers across multi-touch funnels
• Collaborate with engineering and data teams on data pipelines, event tracking schemas, and identity resolution logic that support marketing decisions
• Assess and implement AI and machine learning tools for predictive lead scoring, churn modeling, personalization, and content optimization
• Ensure all MarTech operations comply with GDPR, CCPA, FedRAMP, and internal privacy and data governance standards
• Convert business goals into technical specifications and communicate technical constraints to leadership

Requirements

• 8+ years working in marketing technology, marketing operations, or growth engineering
• Hands-on experience with major MarTech platforms such as Salesforce Marketing Cloud, HubSpot, or Marketo
• Working knowledge of CDPs like Segment or mParticle and data warehouses including Snowflake or BigQuery
• Understanding of identity resolution, customer data unification, and matching users across anonymous, authenticated, and partner data sources
• Background building marketing infrastructure in regulated or privacy-sensitive environments with experience handling PII
• SQL proficiency and ability to work directly within data pipelines as a technical peer to engineers
• Experience with attribution modeling including multi-touch attribution, incrementality testing, and media mix modeling
• History of building and leading teams that operate between marketing and engineering functions
• Vendor management skills including contract negotiation, build versus buy analysis, and tool portfolio governance

Skills & tools

• Salesforce Marketing Cloud, HubSpot, Marketo
• Segment, mParticle, or comparable CDPs
• Snowflake, BigQuery
• SQL
• AI and machine learning applications for marketing
• GDPR, CCPA, FedRAMP compliance frameworks

Practical notes

• Base salary does not include company bonus, sales incentives, equity, or benefits
• Benefits include medical, dental, vision, HSA, FSA, basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, unlimited PTO with 8 company holidays, short and long-term disability, accident and critical illness insurance, referral bonus, EAP, pet insurance, travel assistance, wellbeing and childcare discounts, benefit advocates, and learning and development support
• Company participates in E-Verify
• ID.me uses AI tools in some hiring processes; candidates should review company guidelines on appropriate AI use during applications and interviews