Tara Shankar Jana "TJ" — Data and AI Technical Marketing Executive- Credo AI ← Firebolt ←Yellow.ai ←Neo4j ←AWS ←Microsoft (2X) ←Citrix ←IBM | Building marketing excellence, scaling AI, and driving growth through storytelling and brand awareness.
Data and AI Technical Marketing Executive- Credo AI ← Firebolt ←Yellow.ai ←Neo4j ←AWS ←Microsoft (2X) ←Citrix ←IBM | Building marketing excellence, scaling AI, and driving growth through storytelling and brand awareness.
Tara Shankar Jana "TJ" ranks #57 of 14,983 LinkedIn creators in Computer Software, and is a standout voice in United States. They have 7.4K followers and published 6 posts in the last 30 days at a 62.5% average engagement rate.
- 7.4K followers
- 6 posts / 30d
- 62.5% avg engagement
- — follower growth / 30d
The roast
TJ’s resume reads like a frantic game of LinkedIn musical chairs where the music stopped, but he just kept sprinting anyway. He claims to have been a Generative AI expert for five years, which is impressive considering that’s just code for spending half a decade refreshing ChatGPT to see if it would finally tell him his marketing strategy matters.
About Tara Shankar
AI, ML, NLP, and Data marketing leader. Truly believe in innovation, a pro at generative AI narrative given I have been working on it for last 5 years. I truly believe that AI is an enabler and Human +AI is a combination that has the power to change the world and customer experiences. I am a passionate technologist and marketer who has helped organizations with envisioning, developing and operationalizing innovative solutions through the adoption of a Data Driven and Machine Learning (ML) mindset. I have helped developers and enterprises with enabling rapid growth scenarios through the power of the cloud, data and AI/ML; by moving from data-driven to Insight to Foresight! I have built teams and functions from scratch and scaled 2X. I have established and articulated the technical vision, go to market (GTM), business strategy for Artificial Intelligence (AI) / Machine Learning (ML), and have successfully built a community of aspiring ML developers via compelling content across many organizations, as well as grown revenue 3X while at the helm of enterprise product marketing (working in tandem with sales and growth marketing). Previous to my current role at Yellow.ai, I built and led the enterprise product marketing function at Neo4j. I also launched, managed and driven high growth and educational AI/ML services at AWS (Amazon Web Services), namely Amazon Kendra, Amazon CodeGuru, AWS DeepComposer, and AWS DeepLens. Prior to that, I also managed cloud adoption, analytics, application innovation, data oriented architecture, AI/ML programs at Microsoft, based at Microsoft's Head Quarters in Redmond, Washington in the USA. Prior to that, I have extensive experience in advising the largest enterprises and organizations of the Asia Pacific Region as an Azure Ranger, Technologist and Specialist for Microsoft based out of Australia, and India. A Product Marketing leader with a proven track record of building and developing compelling content, offerings to tackle big challenges across a variety of businesses and segments. Extensive experience in both launching new products and growing existing businesses. Currently focused on the future of cloud computing in machine learning and artificial intelligence. Specialties: Marketing, general management, cloud, go-to-market strategy, brand development, product management, communications, organizational development, machine learning and artificial intelligence, research, digital marketing, keynotes and public relations.
Highlights
- Top 1% in Computer Software — Ranked #6 of 4267 creators
- High Impact — 4,626 avg engagements per post · top 1%
- Top 1% in United States — Ranked #24 of 5205 creators
- Top Engager — 62.51% rate · top 1%
Recent posts
Right now, while you're reading this, an AI agent somewhere just: → Read a customer's account balance → Extended a $50,000 credit line → Committed the transaction → Triggered a compliance workflow Under 50 milliseconds. No human in the loop. No second signature. No one to catch it if the numbers didn't line up. That's not a demo. That's Monday morning at a Fortune 500. The database underneath either kept its promise... serializable, consistent, available across every region, or it didn't. When decisions are irrevocable and agents never pause to check, there's no error message. Just a wrong c
60 reactions · 6 comments · 0 reposts
13.6K reactions · 362 comments · 836 reposts
The loudest AI narrative is: agents replace humans, headcount goes down, the future has fewer people in it. We reject that narrative. We believe that the future is humans and agents working together. Both will use software. Both will need a great experience. And both will need to deliver outcomes that help businesses grow. That is why we are excited about our vision: agents run on HubSpot and agents run HubSpot. We’ve been building toward this vision, and our team is making great progress: We were the first CRM to launch MCP support in public beta. We were the first to launch connectors w
722 reactions · 75 comments · 39 reposts