Head of AI Product Marketing | x-Google, Meta, Microsoft | Advisor

15 years of experience spanning product marketing, demand generation and developer marketing. 7 years of experience leading marketing for AI and analytics technologies - I led product marketing for TensorFlow, rolled out AI models at Meta and marketed the big data and AI revolution at Databricks. I am an educator and advocate for product marketing and for embedding AI and LLMs in marketing workflows

2025 was the year I finally let myself build.

Not because I had everything figured out, but because I stopped waiting to feel ready.

One of the biggest lessons this year was realizing how few limits creativity actually has now. We’re at a point where curiosity, empathy, and taste matter more than starting with perfect technical skills. Giving yourself permission to experiment and make mistakes changes everything.

As the old Mastercard line goes, some things money can’t buy. For everything else, there’s AI.

This was the year I moved from being an AI user to becoming a maker. All change is awkward at first, but thanks to YouTube University and generous builders sharing what they know, I crossed the line from prompting to building. (Shoutout to Nate Herkelman for his N8n series, Net Ninja for their Claude Code playlist, and to hundreds others)

Once that happened, the way I thought about work changed. I started thinking in systems, in users, and in how products actually come together. It felt like a new world opening up.

Over the year, I vibe coded my way into real products used by hundreds of people. 

1. A Harry Potter Wizarding Photo Booth  ✅

Built this for my daughter in Google AI Studio. A fully functioning app that combined multiple models, did sophisticated image recognition, sorted people into Hogwarts houses, designed wands for them, and generated magical avatars. 

I could build and publish it in under five minutes, on my phone.

That’s how good the tools are this year. And they’re only getting better.

2. An Agentic Marketing Creative Suite ✅ 

Earlier this year, I built a full marketing creative bench for a non-profit, with GTM workflows powered by n8n, agents, and APIs connecting dozens of tools. Later, I graduated to MCP and began working deeply with Claude Code and Claude Desktop. I can clearly see chat-based tools becoming the main surface where my work happens.

3. An AI PMM Platform ✅ 

Toward the end of the year, I finally built something I had imagined back when ChatGPT first launched: a product marketing "second brain" with a front end, back end, and multiple AI APIs working together.

That’s when it clicked. I stepped from being a marketer of products to a builder and marketer of them.

I experimented with dozens of AI tools along the way. My favorites this year were Claude Code, Claude Desktop, WisprFlow, and Granola. A special shoutout to my new favorite, Google Antigravity, and to the tool that started it all for me, n8n.

I taught workshops on agent building and prompting to hundreds and also launched my first vibe PMMing video. 

On a personal note, I’ve loved being at Atlassian . I’m grateful to work with people who are thoughtful, collaborative, and genuinely care about each other and the user.

Looking ahead to 2026 with curiosity, gratitude, and real excitement for what’s possible.

Abhishek Ratna

Principal, AI Product Marketing at Atlassian | Vibe Coder | GTM Engineer | ex-Google, Meta, Microsoft

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Meta acquires Manus, days after Nvidia's acquisition of Groq. Clearly winding down for the holidays is not meant for those in AI.

Open article: Manus Joins Meta: Accelerating AI Innovation for Businesses by linkedin.com

Manus Joins Meta: Accelerating AI Innovation for Businesses

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