The âgrowth hackerâ is becoming extinct. đŚ
LinkedIn, Citi, and Nasdaq have quietly replaced them with a new breed of marketer: Marketing Innovation leaders - and theyâre paying $150-350k in annual salaries.
đ Iâve analyzed 30+ job postings for âMarketing Innovationâ roles.
The message is clear: Companies want marketers who combine (1) AI skills, (2) technical know-how, and (3) creative experimentation.
And theyâll pay anything to get them.
That leader could be you.
Hereâs exactly what these companies want + how to position yourself for these jobs before everyone else figures it out. Letâs start đ
Your boss is secretly scared of missing the AI revolution đ¤Ť
AI terror keeps CMOs awake at night.
Your executives are 24/7 terrified of the possibility that competitors have found some secret AI tool to 10x their growth and you guys didnât.
Marketing Innovation roles directly address this fear:
LinkedIn wants a Marketing Innovation Group Manager to âorchestrate AI first audience technology, ad operations, and measurement techniquesâ
Dogs Inc seeks a Marketing Innovation Manager to âlead the integration of emerging AI technologies into our marketing strategiesâ
Fiverrâs Associate Director of Marketing Innovation is asked to âcontinuously explore new trends, tools, and platformsâ
AI is central in these roles, but companies need MORE than just AI knowledge.
This creates an opportunity.
Hereâs what companies are looking for đŻ
After analyzing those 30+ job descriptions, Iâve found 3 skills that every single Marketing Innovation role requires:
1. AI fluency (not just awareness)
Companies arenât looking for AI researchers who build models from scratch. They need practical AI translators who can:
đ§Š Find places where AI can fix broken marketing processes
đ ď¸ Write prompts that automate real tasks
đ Teach teammates how to use AI in their daily work
đď¸ Always stay âin-the-knowâ of new tools and news
The difference is âpractical fluencyâ - the ability to apply AI to solve real marketing problems rather than just discussing them in meetings. Your value comes from finding problems, implementing AI solutions, and then teaching others to do the same.
TL;DR: Find problems â solve them with AI â then teach the team.
2. Technology orchestration
You donât need to code, but you need to speak tech:
đ Have a rough idea of what marketing tools are available to you
đ§Ş Evaluate and select new marketing tech
đ¤ Work directly with engineering and product teams
đť Understand just enough data architecture to get things done
This shows up in job descriptions at companies of all sizes:
Nasdaq seeks a Director of Marketing Innovation to drive âinnovative projects and systems within Nasdaqâs technology stackâ.
Wolt requires its Head of Marketing Innovation to have âdeep understanding of CRM and AdTech systemsâ and âstrong expertise using SQL to extract, clean, and transform dataâ.
AAA needs a Marketing Innovation Strategist to âensure the successful adoption of new technologiesâ.
Citi wants a Head of Marketing Innovation to âdevelop a scale marketing technology and data infrastructureâ
3. Creative experimentation
Test-and-learn mindset. Great marketers arenât afraid to:
đ§ Run small creative tests of big ideas
đ Look at results and know what matters vs. what doesnât
đ Scale winners immediately
đ§Ž Trust data, but also their gut
This shows up in job descriptions at companies of all sizes:
Fiverr wants an Associate Director of Marketing Innovation to âconceptualize and execute Guerrilla Campaignsâ
Flora Foods seeks a Marketing Innovation Manager who will âchallenge the thinking, pushing for entrepreneurial way in (âwhat if we were a start-up?â)â.
Molson Coors needs a Director of Marketing Innovation to âidentify white space opportunityâ and build âideas that drive incremental growthâ.
Agoda looks for a Director of Marketing Innovation âwho think critically, test, learn from mistakes, and adapt quicklyâ.
Five ways to prepare yourself (right now) for these $350K jobs đ
You donât need a fancy title or permission to develop these skills. Whether you're an intern, specialist, or CMO - the path is the same.
Here are five things you can do right now:
1. Build a shared AI prompt library for your team
Last year, I made a simple Notion doc where our marketing team shares ChatGPT prompts. I added five to start - email subject lines, social media ideas, and research summaries.
Two weeks later, we had 42 prompts. Team members improved each otherâs work. Our content creation speed doubled.
âĄď¸ Quick win action: Make a doc called âMarketing AI Promptsâ with 3-5 prompts you use. Share it with your team tomorrow. Offer to keep it organized as it grows.
2. Solve a marketing bottleneck with AI (today)
I recently noticed our research team was stuck spending hours brainstorming graphs for blog posts.
I found Napkin.ai, and got it running in just 15 minutes. Now they quickly generate visualization ideas with AI, then hand these mockups to our designers who create proper (branded) versions.
This tiny win accomplished two things: it saved the team time AND gave me a practical AI implementation story for my resume.
âĄď¸ Quick win action: Find one task your team struggles with. Visit taaft.com to find an AI tool that solves it. Set it up this week and document the results.
3. Bridge the marketing-engineering language gap
At my last job, marketing and engineering couldnât communicate. Projects stalled for MONTHS because marketers asked for things in ways engineers didnât understand.
So I started having coffee with senior engineers twice a month.
I asked about their projects and how they think about marketing problems. Then I also made a one-page âtranslation guideâ for the marketing team to use.
âĄď¸ Quick win action: Take Khan Academyâs free SQL basics course this weekend (it takes 2-3 hours). Then have coffee with an engineer and ask what theyâre working on right now.
4. Start a cross-team ideas channel
Marketing ideas can come from anywhere. But with no place to capture them? â Poof. Theyâre gone.
Create a simple #marketing-ideas Slack channel and invite people from every departmentâengineering, product, customer support, even finance.
The rule: share any cool marketing concepts youâve seen, no matter how wild. Your VP of Engineering might share a competitorâs demo they love. Customer support might share emails that drove them to purchase.
âĄď¸ Quick win action: Create a #marketing-inspiration Slack channel today. Invite 5-10 people from different teams. Seed it with 3 examples of great marketing you've seen recently. Ask for contributions weekly.
5. Run one unconventional marketing experiment per month
Marketing innovation thrives on experimentation. The most successful marketing leaders build experiment engines (NOT one-off campaigns).
Start by creating a simple table. Dump every wild marketing idea you have (source ideas from the #marketing-ideas channel youâve created), no matter how unusual. Rate each experiment on potential impact, implementation difficulty, and measurement clarity. Then run one new test every month.
What matters isnât just the experiments themselves but building a system to capture ideas, test them quickly, and document both wins and losses.
âĄď¸ Quick win action: Block one hour this Friday. Design some experiments. Then throw them onto a table, categorize them by goal, give each one a score of one to five on the ICE scale (Impact, Confidence, and Ease), and prioritize them accordingly.
The money follows the skills gap đ°
These salaries tell the whole story:
LinkedIn: $224k
Fiverr: $160k
Citi: $500k
Ridiculous numbers? No. Supply and demand.
Almost no marketers have all three required skills. Most have one. Some have two. But the true unicorns who master all three? Companies will fight for them. đŚ
What to do next?
Start small with the 5 action steps above. Build your evidence. Connect the dots between AI, technology, and creativity. The future belongs to those who can bridge the gap. Be one of them.
See you next Friday âď¸
Tom
P.S. I wrote about this trend on LinkedIn a few days ago and it sparked some really insightful discussions in the comments. Check it out here.
â If you enjoyed this analysis, please tap the Like button below âĽď¸ Thank you!