Paid Media Specialist

About The Role

We're looking for a Paid Media Specialist to own the day-to-day execution of Fundraise Up's paid digital programs across paid search and paid social. This role is part of a deliberate move to bring our always-on paid media motion in-house – maintaining the foundation we've built while evolving our approach alongside a growing enterprise and account-based GTM motion.

You’ll report to the Director of Revenue Marketing and work closely with marketing leadership to keep campaigns running accurately, surface performance data clearly, and move our testing program forward consistently. You'll manage campaigns across Google Ads, Linked In, and Meta/Instagram – and you'll think about the full journey, not just the ad.

We're building a testing culture in paid media, one where structured experiments across formats, creative, copy, audiences, and channels actively inform strategy across the broader marketing team. If you're the kind of person who's always asking what could be better and backs it up with data, you'll thrive here.

• Set up, launch, and maintain paid search and paid social campaigns across Google Ads, Linked In, and Meta/Instagram, following established naming conventions, targeting parameters, and budget controls.
• Monitor campaign delivery daily – flagging pacing issues, budget discrepancies, and underperforming ad sets before they compound.
• Implement ongoing optimizations including creative and copy updates, audience adjustments, and bid changes; support event-targeted and geo-fencing programs around key conferences and Fundraise Up-hosted events.
• Review ad-to-page message match and monitor post‑click metrics alongside ad performance – you're evaluating the full journey, not just the click.
• Collaborate with marketing stakeholders and design to recommend landing page optimizations and brief, iterate on ad creative using test data to make feedback specific and actionable.
• Run a regular cadence of structured tests across formats, creative, copy, headlines, CTAs, audiences, channels, and landing page variants.
• Document test hypotheses, setups, results, and learnings in a shared log – and proactively share findings across channels so paid insights inform email, content, and events decisions.
• Apply UTM parameters to all campaigns and compile performance data from Google Ads, Linked In, and Hub Spot into weekly and monthly reporting inputs.
• Work with Rev Ops on lead routing accuracy and source attribution hygiene between Hub Spot and Salesforce.
• Coordinate with the ABM Manager to align paid targeting with account lists and keep campaigns in sync with content launches, event promotions, and campaign calendars.
• Stay current on platform changes and surface relevant updates to the team.
• At Fundraise Up, AI is a default tool, not an experimental one. We expect every team member to actively use AI in their day‑to‑day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate.

• 2+ years of hands‑on paid media experience, including direct in‑platform campaign management in Google Ads and/or Linked In Campaign Manager.
• Working knowledge of paid search fundamentals: keyword organization, match types, ad groups, Quality Score, and basic bidding strategies.
• Familiarity with Linked In paid social:
  Sponsored Content, targeting by job title, company size, and account list, and Lead Gen Forms.
• Experience with UTM tagging and an understanding of how campaign source data flows into a CRM – Hub Spot experience is a plus.
• Experience running or supporting structured A/B tests.
• Strong attention to detail – you catch tracking errors, naming inconsistencies, and budget discrepancies before they compound.
• Organized and reliable, with the ability to manage multiple active campaigns and deliver consistent reporting outputs on schedule.
• Clear communicator who proactively surfaces updates, flags issues, and translates data into plain‑language observations for stakeholders.
• Fluency with AI…