Technical Business Analyst

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

About the Role

Turing is seeking a Technical Business Analyst who can operate comfortably in two worlds at once: the day-to-day realities of Operations and Finance, and the practical constraints of building software. This is a role for someone who listens deeply, asks sharp questions, maps real workflows, and translates that understanding into clear, testable requirements that engineering teams can deliver with confidence.

You'll join a global team supporting a leading alternative investment manager with more than 30 years of proven expertise across Private Equity, Credit, and Real Assets. The business is known for its integrated platform, strong investment performance, value-oriented philosophy, and its people. You'll work closely with business stakeholders, product owners, and engineers to reduce ambiguity, improve shared understanding, and accelerate delivery — without sacrificing quality or control.

What You'll Do

• Lead discovery with stakeholders to understand current-state workflows, pain points, controls, and desired outcomes.

• Distill ambiguity into clarity by writing crisp problem statements, scope boundaries, assumptions, risks, and success measures.

• Translate business needs into delivery-ready artifacts: process flows, user stories, acceptance criteria, and non-functional requirements.