Marketing Operations Manager

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. 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.

What you'll do:

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

What you'll bring:

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