Scale AI-Driven Operations | Build Intelligent Data Systems | Lead with Innovation
Are you a forward-thinking leader passionate about harnessing AI to transform data operations at scale? Do you excel at building structured, high-quality data pipelines that power real-world business decisions? If you're looking to take end-to-end ownership of AI-first data workflows in a global SaaS platform, Tracxn is where your vision becomes impact.
Location: Bangalore, India (Work from Office)
Job Type: Full-time
About Tracxn
Tracxn is a leading market intelligence platform tracking over millions of private companies globally across industries. Our clients include Venture Capital firms, Private Equity funds, Investment Banks, and Corporates who rely on us for actionable insights and data. As a tech-first company, we are constantly evolving our capabilities in AI and automation to redefine data quality, scale, and delivery.
Role Summary
As the Head of Data Production using AI, you will own the strategy, execution, and evolution of Tracxns data production engine, with a sharp focus on AI-driven automation, data accuracy, and scalable delivery. This is a mission-critical leadership role where you'll partner closely with Engineering, Product, and Business teams to design workflows that leverage LLMs, NLP, machine learning, and human-in-the-loop systems to produce high-quality structured private market intelligence.
We're looking for someone deeply passionate about AI, obsessed with operational scalability, and excited to lead a high-impact team that blends automation with human judgment.
Key Responsibilities
1. AI-Driven Data Strategy & Execution
2. Process & Workflow Optimization
3. Team Leadership
4. Collaboration & Stakeholder Management
Qualifications & Skills
Why Join Tracxn?
Keyskills: Data Science AI Implementations Data Strategy NLP Production Analysis LLMs Artificial Intelligence QA Automation Scraping
Founded in 2013 by ex-Venture Capitalists, Tracxn is one of the worlds largest platforms for tracking 1.4 million entities through 1,800 feeds categorized across industries, sectors, sub-sectors, geographies, affiliations and networks globally.