Marketing automation platforms tend to accumulate years of half-finished workflows if nobody owns them properly, and Pardot is no exception. This role exists to keep that from happening, and to fix it where it already has.
You would configure and customize Pardot workflows, automations, and integrations to match how the business actually operates, then troubleshoot issues as they come up, a broken trigger here, a data sync failure there. Most of these issues are quiet at first: a form that stops submitting correctly, an automation rule that fires twice instead of once. Beyond the technical configuration, you train internal teams on best practices so the platform gets used correctly day to day, and you monitor adoption and data quality across the system rather than assuming it stays clean on its own.
A lead-scoring model built two product launches ago rarely still reflects how buyers actually behave now, and nobody notices until conversion numbers start looking strange. Sales teams usually blame the leads themselves long before anyone thinks to check whether the scoring logic behind them still makes sense. Catching that kind of quiet drift, and rebuilding the model before it misleads the sales team, is a bigger part of the job than the initial setup work ever is.
Integrations tend to be the other recurring headache. A CRM field renamed on one side without a matching update on the Pardot side can quietly break lead routing for weeks before a sales rep notices leads have stopped arriving in their queue at all. Building a habit of testing changes on a small segment before rolling them out to the full database goes a long way toward avoiding that kind of silent failure.
Documentation habits matter here more than people expect walking in. A workflow that makes perfect sense to the person who built it can be a total mystery to whoever inherits it a year later, so writing things down as you go is not optional busywork, it is what keeps the platform maintainable.
Handoffs between team members happen more often than a job description usually admits, project reassignments, parental leave, someone simply moving on, and a well-documented instance survives those transitions far better than one that lived entirely in one person's head. Treating documentation as part of the deliverable, not an afterthought squeezed in after a deadline, is the habit that actually protects the platform over time. A new hire inheriting a well-documented instance can usually get productive within days instead of weeks.
The baseline for this role is a bachelor's degree, along with two years of hands-on experience configuring and managing Pardot specifically, not just marketing automation in general terms. Pardot has its own quirks around engagement studio, scoring, and grading, and time spent in the actual platform matters more than time spent in adjacent tools.
Someone coming from a general marketing operations background can still be a strong fit, provided the Pardot exposure is real and recent rather than a line item from years ago. Platforms like this change often enough that two-year-old familiarity is not quite the same as current fluency.
Required skills:
Salesforce certification, where available, is a meaningful plus, along with prior experience connecting Pardot to a CRM or a broader marketing stack. A specialist who has spent two years cleaning up a messy Pardot instance, consolidating duplicate workflows, fixing scoring models that stopped reflecting real buyer behavior, is exactly the kind of background that fits here.
Interviews for this role usually walk through a real, somewhat messy workflow scenario rather than a theoretical one, since the day-to-day work is far more about fixing existing complexity than designing a clean system from a blank slate.
This is a full-time, fully remote role open to candidates anywhere, with no office tied to the position. Work happens largely on your own schedule, with a set block of hours reserved for training sessions and stakeholder syncs since those need real-time back and forth. Most day-to-day coordination runs through the platform itself, ticketing software, and scheduled video calls rather than constant messaging.
Training sessions tend to work best scheduled a week or two out, giving both sides time to prepare, while troubleshooting calls are the opposite: booked same-day when a campaign is stuck and marketing needs a fix before a send goes out. Being comfortable with both paces, planned teaching and urgent firefighting, is part of what makes someone good at this specific role.
A written log of past fixes tends to save real time over the course of a year, since marketing platforms rarely fail in a genuinely new way twice. Keeping a running internal reference of what broke, why, and how it was resolved turns future troubleshooting into a much faster process.
The salary is 81,500 dollars a year. Remoteroles pairs that with a benefits package covering health coverage, paid time off, retirement plan matching, and a stipend for ongoing platform training or certification. That last piece matters in a field where the platform itself changes enough that staying current is part of doing the job well, not an optional extra.
To apply, submit a resume along with a short summary of the Pardot instances or projects you have worked on, including team size and platform scope where relevant. Shortlisted candidates will walk through a real configuration scenario during the interview process before a final conversation with the marketing operations lead.
That configuration scenario is usually presented as a short case: a workflow that stopped triggering correctly, with a rough description of the symptoms, and the panel wants to see how you would isolate the cause before jumping to a fix.