Responsibilities

• Own core Marketing operational work: campaign operations governance, pipeline modeling, and process architecture.
• Own the MOps process layer: lead processing logic, lead source and source detail hierarchy, audience and nurture processors, demand processing workflows, and campaign naming and governance standards.
• Design and improve the full campaign-to-pipeline workflow, from lead creation and routing through SLA governance and MQL processing.
• Partner with Analytics to translate data into clear, actionable recommendations for Marketing leadership.
• Stay deeply embedded in the Marketing org. Decompose how work actually gets done: map the full activity chain behind a campaign, a content workflow, and identify where process gaps are costing pipeline.
• Define what good looks like for data quality and lead flow, surface issues, and work with Business Systems to fix them upstream.
• Act as the Marketing pod lead: coordinate between Marketing and the Business Operations functions (Applied AI, Data Platform, Systems).
• Come with an AI first mindset: Identify automatable microtasks in Marketing workflows and define AI-enabled solutions with clear human-in-the-loop checkpoints.
• Contribute to org-wide GTM Ops initiatives alongside the broader team.

Requirements

• 5+ years of experience in Revenue Operations, Marketing Operations, or GTM Operations within a B2B SaaS environment
• 2+ years Marketing Ops ideal
• Deep familiarity with demand gen motions: pipeline attribution, lead scoring, funnel conversion, and day-to-day marketing programs
• Hands-on MOps experience: owned lead processing logic, nurture programs, source/source detail hierarchies, and demand processing workflows
• Proven ability to own and improve core ops work: campaign operations, and process architecture
• Workflow thinking: decompose marketing work, map to underlying systems, identify process redesign opportunities
• Comfortable in BI tools; able to build reporting that drives decisions
• Salesforce and MAP proficiency: experienced with Marketo, HubSpot, Pardot, Customer.io or similar at a process level
• Ability to identify AI/automation opportunities and define human-in-the-loop checkpoints
• Ability to work cross-functionally with Business Systems, Data, and Applied AI teams
• Exposure to Claude, n8n, Lovable or similar AI/automation tooling

Preferred

• AI-curious mindset
• Experience leading cross-functional initiatives without direct authority
• Experience reengineering marketing operations processes and workflows

Benefits

• Highly competitive, employer-heavy coverage (including $0 premium options)
• strong 401(k) match
• equity
• flexible time off
• Location: Hybrid culture (in-office 3 days per week unless remote)