Marketing Operations Manager, Preservica

• You understand what works and what doesn't, what makes a campaign fly and why a campaign fails. You "get" the mechanics, metrics and analytics of marketing
• If you're the kind of person who sees a basic dashboard and immediately wants to know what a great one would look like, this is that job
• 5 years in marketing operations, RevOps, or a similar systems/analytics role at a B2B SaaS or B2B company
• Hands-on Pardot / Marketing Cloud Account Engagement administration experience: automation rules, scoring, Engagement Studio, segmentation
• Salesforce experience: campaign management, lead routing, Campaign Influence or equivalent attribution reporting
• Demonstrated experience building multi-touch attribution models and reporting that leadership actually relies on, not just platform-native reports
• Real, demonstrable use of Claude (or a comparable LLM) to produce messaging or content variants at scale, able to walk through actual prompts and workflows, not just "I've used ChatGPT"
• Working SQL for ad hoc analysis and troubleshooting
• Strong grasp of B2B funnel metrics, cohort analysis, and lead scoring methodology, and the ability to build and explain stage-to-stage conversion reporting to an executive or board audience
• A track record of pushing past "the dashboard works" to "the dashboard is wrong, here's why, and here's what I rebuilt", this role is for someone who gets restless with basic reporting, not someone who's comfortable maintaining it indefinitely
• Comfort being the ops and analytics backbone across Marketing, Sales, and Leadership, and the initiative to identify gaps and fix them before leadership has to ask

Desirable

• Right now we're looking for a Marketing Operations Manager to build a modern, AI-powered marketing operations function from the ground up. Reporting to the VP Demand Marketing, this is a rare kind of opening: pipeline generation is our top priority as we launch a brand new digital strategy, which means marketing ops has real visibility and real budget to build something ambitious, not just keep the lights on
• Today, our attribution and reporting can tell you a lead came in. It can't yet show you how a cohort of MQLs actually moves through the funnel to closed revenue, and that's exactly the gap you'd own. You'll design the cohort-based reporting, the attribution model, and the AI-powered analytics practice that the board relies on to understand whether pipeline is actually working, essentially building the function you'd want to inherit, except you get to build it yourself
• You'll administer Pardot and Salesforce end to end and be the person leadership comes to when they want a real answer on what's driving pipeline. You'll also get to put Claude to work at the execution layer: turning demand gen's persona and industry targeting into shipped messaging and campaign assets at a speed manual production can't match, and finding every place in the ops stack where AI can replace repetitive work with something faster and better
• Build and maintain dashboards and reporting on funnel performance, pipeline coverage, and channel/program ROI for leadership review
• Build and maintain attribution infrastructure (UTM frameworks, campaign-to-revenue reporting via Salesforce Campaign Influence) that holds up under scrutiny from Sales and leadership
• Push our attribution and reporting practice from basic, backward-looking numbers toward an AI-powered practice: automated anomaly detection on funnel metrics, AI-assisted narrative summaries for business reviews, and faster answers to ad hoc board and leadership questions
• Own Pardot (Salesforce Marketing Cloud Account Engagement) administration end to end: automation rules, lead scoring and grading, Engagement Studio programs, list segmentation, and data hygiene
• Maintain clean, synchronized data between Pardot and Salesforce, including lead routing, lifecycle-stage integrity, and deduplication
• Build cohort-based MQL reporting that shows how each month's (or campaign's) MQLs convert stage by stage down the funnel to pipeline and closed revenue, built for board-level review, not just an internal team dashboard
• Use Claude to produce persona- and industry-specific messaging variants and campaign assets (email sequences, landing page copy, ad copy) at volume, to specs set by demand gen and content, not as an independent campaign owner
• Identify where AI should replace manual, repetitive ops work (enrichment, routing, QA, reporting prep) and build those workflows, proactively, not just when asked
• Partner with demand gen, sales, and RevOps to diagnose funnel leaks using data, and instrument fixes rather than just report on symptoms
• Document systems, workflows, and runbooks so the stack doesn't live only in your head
• Ensure compliance with CAN-SPAM, GDPR, and CCPA across all automated and AI-assisted communications
• Tech stack:
• Pardot (Salesforce Marketing Cloud Account Engagement), Salesforce, Claude, plus whatever enrichment, intent, or BI tooling you recommend (within budgetary constraints)