About Turing

Turing’s 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. 

 

About the Team

Turing’s Financial Services team brings enterprise AI into the world’s leading banks, asset managers, private equity firms and insurers. We work with the world’s largest investment banks, largest asset managers and largest private equity firms.

We built this business from the ground up, and we compete with the largest consulting firms every day and win on AI depth.

The Role

This is not a territory handed to you with a book attached. You will open new financial services accounts for Turing and turn each first project into a multi-year AI program. You lead the first relationship conversation, bring in our solutions engineers and AI architects, and own the deal through the first SOW and into the second.

Successful candidates often come from strong careers at services firms or data platforms and see this as the pivot of their career: from the services era into an AI-native company.

For the right person, this is a chance to build the book that defines the next decade of your career.

Why This Role Matters

Financial services firms are done experimenting with AI. They want it running the business: in regulated environments, on data that stays inside the firm, across back-office operations too large to automate by hand. Legacy services firms were not built for this. Turing was: we work with every major frontier AI lab, and we bring that depth into the enterprise.

Over the next 12 months, you will help grow our financial services business 4x. We lead with a platform that stays in place after delivery, so every account you open sets up the next engagement. New MSAs close in about four months, in an industry where they often take years.

What You Will Own

• Your target list. Build and own a focused list of financial services accounts: mid-size and regional banks, private equity and alternatives managers, asset managers and insurers. Agree it with the GM, BFSI in your first 90 days.
• New logos. Open doors at Managing Director level and above, with COO, CIO and head-of-operations offices. Lead the first relationship conversation yourself.
• The deal. Qualify hard on sponsor, budget and intent to reach production. Bring in solutions engineers and AI architects early, direct what they pitch, and scope and price deals that combine platform and services.
• The second project. Hand off to an engagement lead after the first SOW and stay accountable for the second. Every first project should have a clear path to a multi-year AI program.
• Your forecast. Run a disciplined pipeline and a forecast you can stand behind.

What You Will Not Own

This role intentionally focuses on opening new accounts. You will not:

• Manage our existing anchor accounts
• Run renewals or account management
• Own delivery or engagement P&L
• Own technical solution design; our solutions engineers and AI architects do

Who You Are

• A hunter. You have opened a new logo in the last three years and can walk through exactly how: the sponsor, the timeline and the second SOW.
• A network at the top. Your network runs at Managing Director level and above. Those leaders take your call.
• A consultative seller. You lead with the customer’s problem, not the product, and you know how to price deals that combine platform and services.
• Tech-savvy. You can whiteboard an AI deployment with an operations leader and tell a solutions engineer exactly what to build.
• Performing now. You are doing well where you are, and want a bigger challenge.
• Self-directed. You have the drive to work independently and the judgment to stay accountable to a small leadership team.

Minimum Qualifications

• 10+ years selling technology services, data or AI solutions into financial services.
• Personally closed first engagements of $1M or more at banks, asset managers, private equity firms or insurers.
• Opened at least one new logo in the last three years.
• Full-cycle enterprise selling into COO, CIO and head-of-operations offices.
• Based in or willing to relocate to New York, with regular travel across the Northeast.

Preferred Qualifications

• Co-selling experience with a hyperscaler or AI lab.
• Experience selling a data or AI platform alongside services.
• Relationships inside alternatives managers, global banks or insurers.

Before You Apply

• If your experience is mostly renewals or account management, or you have only sold through procurement, this is not the right role.
• If your network stops below Managing Director, this is not the right role.
• There is no deck factory here. You will pick up the phone before the materials are polished.
• If you want the comfort of a large, slow-moving firm, this is not the right role, and we’d rather you know that now.
• For the right person, this is a rare chance to move from the services era into an AI-native company and build a book at one of the defining AI companies of this generation.

Location & Work Model

• Full-time role based in New York, NY. In office once our New York office opens.
• Regular travel across the Northeast.
• Reports to the General Manager, BFSI.

Compensation & Benefits

The annual base salary range for this full-time position is [$X-$Y USD]. In addition to base salary, this role is eligible for variable compensation, equity and additional benefits.

Individual compensation will be determined based on job-related skills, experience, qualifications, and other relevant business considerations.

Application Process

Please submit:

• Resume

Our interview process typically includes:

• Introductory conversations
• Leadership interviews
• Business Plan Presentation
• Reference checks
• Offer

 

Values

• We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
  
  
• We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
  
  
• We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

• Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
  
  
• Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
  
  
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
  
  
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
  
  
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

 

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.