Picture this: social media teams no longer manually define campaigns, or design posts from scratch. Proactive AI agents learn your brand’s goals, offerings, voice and visual identity to create strategies and publish posts where your audience lives.
As the founding product designer in a team of 10, I owned the design of our AI-first social media marketing platform, ran our first usability tests, and translated insights from 97 marketers into product direction. The platform is now live and being used to raise funding.
As a Marketing Strategist, you don’t open a dashboard or start with a blinking cursor.
You open a platform, and it already knows your brand. It’s scraped your site, parsed your tone, and spun it into strategy - not just where to post, but why.
It’s already thinking:
"This campaign calls for short-form video on LinkedIn, repurposed testimonials on Instagram, and a carousel for Facebook."
Creatives are ready - not templates, but on-brand. Not generic, but goal-aligned.
Make a quick edit.
Hit schedule, and you’re done.
Designing Genmark: Starting with 97 marketing strategists
Before there was a platform, before there were demos, there was one big question:
What do marketing strategists actually need and where can AI have the most impact?
We heard from brand managers, agency leads, solopreneurs and asked how they thought GenAI would reshape their work, especially for organic social media.
Their answers were precise:
“Tell me which platforms and content types to use — and why.”
“Help me spend less time guessing and more time building.”
“I need smarter recommendations, not just more tools.”
“I want AI to support my strategy, not just automate content.”
That feedback became our north star.
It meant we were designing a partner with good judgement.
Scoping the MVP
We started wide and it all felt important.
The founder and I sat down together to narrow the scope and focused on one persona: a solo marketer running organic campaigns from start to finish.
We kept:
Brand onboarding via website scraping
Strategy generation
Creative generation and editing
Approval flows
Scheduling and publishing
We cut:
Paid ads
Multi-user roles
Cross-team workflows
Custom dashboards
This way, we were set to create a product that worked beautifully for one person and then scale.
Saving weeks of engineering rework by not prematurely expanding to build out ads
After building the early onboarding and creative generation flows, the founder was eager to move onto ads. But we still needed design changes in the organic campaigns flow- If we built ads on top, we’d rebuild them later. I pushed to strengthen the foundation first - and that decision saved us weeks of rework.
I had AI teammate demos ready when they were needed for VC conversations
The AI teammates workflow wasn't set as a priority for the VC conversations because they were demos that didn't actually work - but a big part of fundraising is selling future vision, so I got the demos ready.
Let's say Greenhouse Recruiting has hired our AI teammates, an admin would be able to configure:
Brand voice
Slack permissions and behavior
Social channel and workspace connections
Behavior tuning
And they'd be able to view an AI teammate's outcomes, health, and feedback from the team.
Genmark would have thousands of deployed agents across businesses, needing a space to manage their performance, health, feedback and issues.
Pre-Launch Outcomes
A deployable platform ready for investor demos
A vision video that became a top asset in VC pitches
A usable, testable organic campaign flow validated by real marketers
