Product Owner

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

The Role

We are looking for a Product Owner who can own outcomes, not just artifacts -- and who brings a vision for how AI and intelligent automation can fundamentally improve how back-office operations and controls work. This role blends product thinking, deep financial services operations knowledge, and hands-on experience driving AI-enabled transformation: shaping a roadmap, aligning stakeholders, planning intelligently, and driving execution with transparency. You'll partner closely with Back Office Operations and Global Business Finance, helping modernize workflows and platforms in a way that is practical, controlled, and genuinely improves how the business runs -- with AI as a core enabler. Our team has a track record of delivering ~95% of projects on time and under budget. We do that by treating ambiguity as work: we break complex initiatives into two phases -- Discovery (to distill the real problem, align stakeholders, and establish a confident plan) and Delivery (to execute with clear milestones, risks, and dependencies).

What you'll do

• Own discovery. Lead structured discovery efforts to clarify problem statements, current-state workflows, constraints, and success metrics and then translate that into a plan stakeholders can believe in.

• Set direction. Build and maintain a product roadmap that balances transformation, near-term outcomes, and operational stability.

• Drive AI-enabled transformation. Identify opportunities to embed AI, ML, and intelligent automation into operational workflows -- from reconciliation matching and exception triage to controls monitoring and evidence generation.