Product Manager

Turing; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Turing in San Francisco is seeking a high-caliber Product Manager to lead core product surfaces across our talent, marketplace, vetting, and platform ecosystem. You will own strategy, shape user experiences, and drive cross-functional delivery in a fast-moving environment.

The role requires strong product judgment, data-driven decision making, technical fluency, and the ability to translate ambiguous problems into clear requirements and roadmaps.

Qualifications

• Strong product judgment and business sense.
• Data-driven decision making across product areas.
• Technical fluency and comfort with engineers and data teams.

Responsibilities

• Own roadmap, prioritization, and execution for core product areas.
• Translate ambiguous business problems into structured plans and clear requirements.
• Drive product development with emphasis on UX, workflow design, and quality.
• Use data to identify opportunities, diagnose issues, and measure impact.

Skills

Product strategy

Cross-functional leadership

Data-driven decisions

Technical fluency

Job description

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 Role

Turing is looking for a high-caliber Product Manager to lead critical product areas across our talent, marketplace, vetting, and platform ecosystem. This person will step into a high-ownership role and should be able to combine strong product judgment, design taste, data-driven decision making, technical fluency, and structured business thinking. This role is ideal for someone who can operate at the intersection of user experience, systems thinking, analytics, and execution — someone who is equally comfortable shaping product direction, defining elegant user experiences, and driving cross-functional delivery in a fast-moving environment.

Why this role matters

Turing works with many of the world’s leading AI labs and enterprises to help build, improve, and scale advanced AI systems. We sit at the intersection of frontier AI, high-quality talent, and complex product/platform workflows - which means the problems here are real, hard, and highly consequential. This role sits at the core of how Turing builds scalable, high-quality experiences across talent and customer workflows. The right person will help raise the bar on product execution, clarity of thinking, and quality of experience across the organization.

What you’ll own

You will lead product strategy and execution across some of Turing’s most important platform surfaces, including areas such as:

• Talent discovery, search, and matching
• Talent onboarding and profile quality
• Vetting, trust, and integrity systems
• Marketplace workflows and hiring manager experience
• Internal platforms and operational tooling
• Cross-functional product initiatives spanning product, engineering, design, data, and operations

What you’ll do

• Own roadmap, prioritization, and execution for a core product area
• Translate ambiguous business problems into structured product plans, clear requirements, and strong execution
• Drive product development with a sharp eye for user experience, workflow design, and quality
• Use data deeply to identify opportunities, diagnose issues, prioritize investments, and measure