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Location
Remote (United States)
Employment
Full-Time

First seen by Alion on Oct 30, 2026.

Overview
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Stop paying for campaigns that expire. Single Grain builds Revenue Marketing systems that compound. 500+ companies. Billions in revenue influenced. 3.2x average ROI. Get your free growth audit.
Build AI-assisted creative systems that produce measurable growth

We are hiring an AI Creative Strategist to turn audience insight, offers, and performance data into a steady pipeline of paid and organic creative. Include “AI creative is cool” in the subject line. Otherwise, your application will be disqualified.

You will own the path from research and concept through brief, production direction, testing, and learning. This is not a prompt-only role. You need strong creative judgment, current platform knowledge, and the discipline to connect creative decisions to business results.

About Single Grain

Single Grain is a revenue marketing agency. We build pipeline-focused systems that compound, not campaigns that expire. We have helped more than 500 companies, from venture-backed startups to the Fortune 500, drive measurable growth.

We operate as an AI-native team. Every role uses AI to improve speed, quality, judgment, and leverage. AI output still requires strong human taste and quality control.

Your mission

Build a repeatable creative operating system that increases the number and quality of useful tests while improving campaign performance.

Primary KPI: improve creative testing velocity and the business result tied to the approved campaign goal. Results can include lower acquisition cost, higher qualified conversion, stronger revenue efficiency, or faster production without a loss of quality.

What you will own
  • Turn audience, offer, competitor, and performance research into testable creative angles.

  • Write clear briefs for video, static, motion, landing-page, and creator-led assets.

  • Direct production partners and give specific feedback on hooks, scripts, structure, visuals, and calls to action.

  • Build AI-assisted research, ideation, versioning, and analysis workflows with human review.

  • Maintain a testing backlog and define the hypothesis, variable, success metric, and next action for each test.

  • Review results with media and growth partners, then turn findings into the next creative cycle.

  • Protect brand accuracy, factual quality, and platform-native craft.

What success looks like

In 30 days, you have audited the current creative system, established a baseline, and shipped the first structured test set.

By 60 days, you run a reliable brief-to-launch cadence and can explain which messages, formats, and treatments are working.

By 90 days, the team has a documented learning loop, stronger creative throughput, and measurable improvement against the approved campaign KPI.

Evidence we need to see
  • Two recent examples across at least two creative formats, with your exact contribution.

  • One campaign result with the metric, baseline, time period, and attribution method.

  • Evidence that you can turn one brief into meaningfully different concepts, not minor variations.

  • A concrete AI workflow: trigger, inputs, tools, steps, output, QA, time saved, and what remains human.

  • Current judgment about paid social hooks, formats, fatigue, testing, and iteration.

This role is not
  • A prompt-only or asset-production-only seat.

  • A role that reports impressions without business context.

  • A role for generic briefs, stale platform knowledge, or unverified AI output.

  • A role that waits for a complete strategy before taking ownership.

How the process works
  1. Application and evidence review.
  2. A focused screen against the role outcomes.

  3. A paid, timeboxed creative exercise using a representative brief.

  4. A live review of your decisions, tradeoffs, and test plan.

  5. References and final decision.

The paid exercise will not be used as unpaid production work.

Work model and compensation

This role is fully remote. State your location, time-zone overlap, start date, and compensation expectations in the application.

Originally posted on Himalayas

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