Atlassian

Technical PMM and product strategy for Rovo Studio and agent builders

Principal, AI Product Strategy & Technical Marketing

HyreSnap

GTM Advisor

Protopia AI

Protopia AI redefines data security for the LLM era. Our solution, Stained Glass Transform (SGT), allows organizations to transform their data into secure representations that can be fed directly into AI models with no loss of accuracy. It was built by researchers with decades of experience across data security, encryption , model training/fine-tuning, and AI. 

My focus spans establishing thought leadership,  core product marketing, growth, sales enablement and more.

Head of Product Marketing

Labelbox

I lead the PMM function and GTM efforts for Labelbox - launching narratives and programs that help F500 executives succeed with their AI and ML initiatives

Director of Product Marketing

Google

• Define core positioning, messaging and drive product launches for multiple AI & ML technologies. Launched OpenXLA through partnerships across Google Cloud, Intel, Nvidia and more. Coverage across 22 leading tech publications including TechTarget, VentureBeat and >200K organic impressions.

• Lead web marketing team for tensorflow.org. Rebooted the TensorFlow website (>18K pages, >1 Mn monthly visitors) through deep SEO research, customer panels, UX & messaging sprints and cross-organization collaboration. New website led to 19% increase in product adoption (+425K installs a week) and 288% boost in interactions with developer assets and code.

• Manage performance marketing for multiple AI & ML developer products. Managed > $2Mn in ad spend, 3 performance marketers, and 40+ countries. Campaigns (SEM + YouTube) grew signups for ML developer events 6X YoY, 10% increase in active users, millions of YouTube views, 36X more 
interactions with coding artefacts and tutorials.

• Manage email marketing and newsletter editorial.

Product Marketing Lead, TensorFlow

Global Marketing Manager

Databricks

• Managed global programs (NA, EMEA, APAC) targeting business and technical buyers across named accounts, enterprise & mid-market segments. Created >$110 Mn in marketing pipeline.

• Messaging and Positioning: Crafted outbound messaging and assets targeting data engineering practitioners with industry research, sales feedback and content analytics. Supported launch readiness and sales enablement content.

• Partner Marketing: Landed joint marketing programs with Databricks' largest partners (AWS, Microsoft Azure, Tableau, Datarobot, Talend, Informatica and more). Programs were recognized by leadership at AWS, Microsoft Azure and Tableau for impact. 

• Data Science & Analytics: (1) Built rules-based classifier using Python for mapping leads and contacts in CRM to target personas (data engineers, data scientists, leaders, etc). Model used by marketing, customer success and sales teams for analysis. (2) Built email & nurture dashboard using Tableau and managed weekly marketing performance reporting with global marketing team. (3) Built persona dashboard to analyze event and content performance across geos and personas. Insights created campaign best practices, improved conversion rates by 40% and cut CPAs by 50%.

• Launched demand generation in the APAC region - established playbook for campaigns and growth marketing.

• Piloted lifecycle marketing campaigns and ABM initiatives.

Senior Marketing Manager, AI/ML

Microsoft

• Trial to activation: Launched developer onboarding program in 70 markets globally. Program led to 40% growth in activation, 5X growth in per developer revenue as well as thousands of new apps published to the Windows marketplace.

• Content: Translated core positioning/messaging and research into campaign content and external assets tailored to different developer personas. Commissioned first-party research to benchmark & optimize campaigns against top competitors, including Android, Apple developers, Amazon developers and more.

•  Engineering & Analytics: (1) Led the buildout of cloud-hosted customer data platform that combined developer data from 26 upstream sources. The CDP was integrated with Salesforce CRM, AutoPilot HQ (Marketing Automation) and PowerBI (Analytics) to power campaigns and analytics. (2) Built new email delivery pipeline in SalesForce Marketing Cloud to improve delivery rates from 36% to 93%. (3) Managed engineering vendors for ongoing spirits and marketing activations.

• Stakeholder Management: Managed complex alignment and execution across PM, PMM, legal, creative, engineering, agencies, vendors and technology partners.

•  Marketing Tools - Marketo certified expert, well versed in salesforce marketing cloud, autopilot hq, Power BI, Heap analytics and more.

Senior Product Marketing Manager, Developer Marketing

KPIT

• Managed marketing programs for North America, across multiple SAP product lines, sales tiers (enterprise, mid-market, small business) and customer verticals (energy, healthcare, manufacturing, distribution, retail). Efforts spanned events, webinars, digital campaigns, partner marketing and more.
• Worked closely with SMEs to craft positioning and messaging (microsites, blogs, infographics, landing pages, solution briefs, decks, marketing emails, one-pagers, event collateral, press releases and creative) for ERP, analytics, CRM, HR, ecommerce and vertical-specific solutions.  Hands-on with HTML, Adobe (Photoshop, Illustrator, Dreamweaver, Acrobat Pro) and Microsoft tools.
• Collaborated with engineers and tech vendors to build technologies for marketing intelligence and lead enrichment. Toolset automated and accelerated market research and segmentation efforts from 4 weeks to 2 days while cutting resource requirements from 4 reps to 0.5 reps, at 20% of commercial costs. The resulting quality improvement and expanded segmentation unlocked new insights for personalization and doubled lead generation from campaigns. 
• Grew event registrations 300% for webinars. Partnered with multiple stakeholders within organization and at strategic go to market partners.
• Marketing Automation: Experienced in Salesforce, HubSpot and Pardot.

Marketing Manager

RJT Compuquest

• Recognized by SAP NA marketing leadership for growth and impact. Built marketing practice from the ground-up, leading teams of marketing reps and SDRs. Reporting to the VP of NA sales, I established marketing programs (across events, inbound, webinars, digital) and established processes for sales handoffs, lead quality assessment, KPIs/SLAs and performance incentives for SDRs.  Initiatives led to MQL pipeline growth from $xx,000 to $x M in one year at 50% of industry-standard cost per opportunity. 
• Established positioning and authored content spanning multiple formats - Press Releases, customer case studies, marketing briefs, web pages, one-pagers, print ads, videos, event collateral and marketing emails. 
• Drove marketing programs for mid-market and enterprise customers in North America across SAP products spanning ERP solutions, CRM, BI and other product lines.
• Partnered with engineers to innovate new market research tools that accelerated list research from weeks to hours while improving data quality. Freed up capacity for marketing reps to focus on client-facing actions.

Head Of Marketing

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

⚙️ AI is making people faster — but not companies better.

Atlassian’s AI Collaboration Report 2025 — based on 12,000 knowledge workers and 180 Fortune 1000 executives across six countries — shows a big paradox.

Daily AI use has doubled.

People feel 33% more productive, saving 1.3 hours a day.

But 96% of organizations haven’t seen real gains in efficiency, innovation, or work quality.

Why? 

Because individual productivity doesn’t translate into team performance.

AI helps people move faster — just not always in the same direction.

The few companies breaking through (only 4%) are doing three things differently:

1️⃣ Connecting their knowledge base so AI can actually access the right context across teams

2️⃣ Building systems for coordination — linking goals, tools, and data instead of creating more silos

3️⃣ Treating AI as a teammate, with clear roles in projects instead of leaving it as a sidekick

AI’s biggest ROI won’t come from saving time — it’ll come from helping teams move as one.

Abhishek Ratna

Principal, AI Product Strategy & Product Marketing at Atlassian | ex-Google, Meta, Microsoft

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