Responsibilities

• Own the marketing requirements for the Salesforce CRM implementation — data model, lead/contact objects, campaign tracking, and integration readiness
• Lead the evaluation, selection, and implementation of a marketing automation platform fully integrated with Salesforce
• Rationalize and build the full MarTech stack from first principles; identify the right tools for where we are today and where we’re going, including AI-powered solutions that create real operational leverage
• Actively evaluate and pilot AI tools across the stack — from workflow automation and content personalization to predictive lead scoring and intent signals — and operationalize what works
• Design and enforce data hygiene standards across the database: deduplication, enrichment, lifecycle stage management, and compliance with GDPR, CAN-SPAM, and CCPA
• Build lead scoring models, segmentation frameworks, and audience definitions that power all targeting downstream
• Build the marketing reporting infrastructure from scratch: dashboards covering pipeline contribution, MQL volume and quality, channel ROI, funnel velocity, and CAC trends
• Define and document shared marketing-sales definitions for MQL, SQL, and opportunity stages; own the alignment process with Sales Ops and Finance
• Own multi-touch attribution modeling so that when we turn on paid channels, we know immediately what’s working
• Deliver regular performance insights in weekly, monthly, and quarterly reviews with marketing leadership

Requirements

• Must be US Citizen
• 5+ years in Marketing Operations, Revenue Operations, or blended MOps/demand gen role at a B2B SaaS company, with demonstrated experience building — not just running — systems and processes
• Hands-on experience implementing or migrating to a MAP (HubSpot, Marketo, Pardot, or equivalent); owning a platform selection end to end is a strong plus
• Proficiency in Salesforce CRM — campaign influence, lead/contact objects, CRM/MAP integration; experience participating in Salesforce implementation is highly preferred
• Proven ability to build marketing attribution models and funnel reporting dashboards from scratch
• Strong data orientation: SQL or advanced Excel proficiency, comfort with BI tools (Looker Studio, Tableau, Power BI, or similar)
• Demonstrated, hands-on use of AI tools in a professional marketing context — you have actually operationalized AI to drive efficiency, not just experimented with it personally
• A genuine point of view on where AI is taking marketing operations and the initiative to stay ahead of it; you bring recommendations, not just awareness
• Track record of self-direction and ownership in ambiguous, high-growth environments where the playbook doesn’t yet exist
• Experience working directly with Sales and RevOps to define lead handoff processes, MQL criteria, and pipeline reporting
• Direct hands-on paid media execution experience (LinkedIn, Google Ads) you have personally built and managed campaigns

Preferred

• Experience building or managing a small team (1–3 people)
• Familiarity with ABM platforms such as 6sense, Demandbase, or Terminus
• Experience with data enrichment tools such as ZoomInfo, Clearbit, or Apollo
• Working knowledge of SQL or experience querying data warehouses (Snowflake, BigQuery)
• Background in law enforcement technology, public safety, or investigations software