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ABM & Paid Specialist (Contract)

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24 Sep 2026Apply before
Opportunity details

About this role.

AI Summary

Cloudinary is hiring a contract ABM and paid media execution specialist for a small Growth Marketing pod focused on rapid experimentation. The role owns hands-on campaign launches across ABM platforms, Google Ads, LinkedIn Ads, and AdRoll, including audience setup, tracking, creative variations, and account-specific personalization. Success is measured primarily by experiment volume, engagement improvements among target accounts, and qualified pipeline rather than strategic planning deliverables. The specialist will work asynchronously with the paid lead, growth director, ABM team, and sales partners while documenting hypotheses, setups, and results. Candidates need 1–3 years of practical paid acquisition or ABM execution experience and strong concise written English.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

3/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe technical requirements are accessible to an early-career paid media or ABM practitioner, but the role demands reliable hands-on execution across several ad platforms and basic measurement setup. The expectation to ship roughly two focused experiments daily creates a demanding operating cadence and requires strong prioritization.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$90,000
US market range$75k–$105k
AI insightNo actual compensation is disclosed in the posting. For the US market, this is an estimated annualized range of USD 75,000–105,000, with a midpoint of USD 90,000, for a 1–3 year paid acquisition/ABM specialist; contract rates and local Kraków market terms may differ.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe a paid campaign experiment you launched yourself and how you evaluated it.

I would explain the hypothesis, target audience, channel, creative or offer variation, tracking configuration, and decision criteria. I would then share the results, what I learned, and the specific next experiment I launched based on the evidence.

How would you structure two focused paid or ABM experiments per day without compromising measurement quality?

I would use a repeatable experiment template covering hypothesis, audience, variable, success metric, budget, launch checklist, and reporting window. I would prioritize controlled changes, reusable campaign components, and validated tracking so speed does not create ambiguous results.

How do you set up UTMs and conversion events for a new campaign?

I use a consistent naming convention for source, medium, campaign, audience, and creative variant, then confirm that destination URLs and analytics capture those parameters. Before launch, I test the conversion path and verify that platform events and analytics reporting are firing correctly.

How would you personalize a campaign for a strategic target account?

I would first identify the account's industry, likely use case, business priorities, and relevant buying group. I would adapt the message, proof points, landing-page content, and creative to that context while keeping the test focused on one or two measurable personalization variables.

What should a useful async experiment recap include?

It should be brief and decision-oriented: the hypothesis, what was launched, audience and key setup details, results against the chosen metric, interpretation, and next action. I would tag the learning consistently so the team can compare patterns across experiments over time.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

About the role

We’re building a small, focused execution pod inside Growth Marketing to ship paid and account-based experiments at high cadence for a specific product line. This role is one of three on the pod. You’ll work directly with our paid lead and our growth director.

This is an execution role. You’ll be measured on the volume and quality of experiments you ship — not on slide decks, strategy memos, or planning frameworks. If you love getting things live and learning from what worked, you’ll thrive here.

What you’ll do

Run paid experiments at pace

  • Launch paid campaigns across digital channels: ABM platforms.

  • Build, test, and iterate ad creative and copy variations weekly.

  • Set up tracking, audiences, and conversion events cleanly so we always know what worked.

  • Ship two experiments per day on average — small, focused tests rather than big launches.

Personalize for target accounts

  • Build 1:1 and 1:few campaign variants for strategic accounts using account-specific messaging and creative.

  • Tailor landing pages and ad copy to specific industries, use cases, or company sizes.

  • Coordinate with the broader ABM and sales teams on account-level targeting and messaging.

Close the loop on what shipped

  • Log every experiment in the team tracker with hypothesis, setup, and outcome.

  • Tag results consistently — what worked, what didn’t, what we learned.

  • Write short async recaps so the rest of the team can learn from your tests without sitting in meetings.

Who you are

You ship

  • One to three years of hands-on paid acquisition or ABM execution experience — agency, in-house, or freelance.

  • You’ve personally launched campaigns, not just briefed someone else to do it.

  • You don’t wait for perfection. You ship a v1, learn, and iterate.

You know your way around the tools

  • Comfortable in: Google Ads, Linkedin Ads and AdRoll.

  • Can set up basic tracking, UTMs, and conversion events without a manager walking you through it.

  • Familiar with one or more creative tools — Figma, Canva, or similar — enough to ship ad variations yourself.

You write to think

  • Strong written English. You’ll spend more time writing recaps and briefs than sitting in calls.

  • Comfortable working asynchronously across time zones.

  • Direct, clear, and brief in writing. We don’t reward long emails.

You want to be measured on output

  • You’d rather ship ten small tests than plan one big one.

  • You want a role with clear weekly targets and visible outcomes.

  • You’re comfortable with feedback loops that are fast and direct.

What success looks like

After 90 days, a strong contributor in this role will have shipped a consistent volume of paid and ABM experiments week after week, demonstrably improved engagement with our target accounts compared to baseline, and generated qualified opportunities the sales team takes seriously

We’ll define specific targets together in week one — but the shape is: shipped volume, engagement lift, and qualified pipeline.

Compensation

Additional Information

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