Client Director, Financial Services (BFSI)

• Client Director, Financial Services (BFSI)
• Company: Turing
• Job Location: India
• Employment Type: Full-time
• About Turing

Turings mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com .

Why Join Enterprise AI

Turings Financial Services team brings enterprise AI into the worlds leading banks, asset managers, private equity firms, and insurers. We work with some of the largest investment banks, asset managers, and private equity firms in the world. We built this business from the ground up and compete with the largest consulting firms every day by bringing greater depth in AI.

As Client Director, Business Development, BFSI, you will open new financial services accounts for Turing and turn initial projects into multi-year AI programs. You will lead the first relationship conversation, bring in solutions engineers and AI architects, and own the deal through the first SOW and into the second. This is an opportunity for an experienced financial services seller to move from the services era into an AI-native company and build the book that defines the next decade of their career.

Why This Role Matters

Financial services firms are moving beyond AI experimentation and looking to deploy AI in regulated environments, on data that remains inside the f .