AI Safety & Trust Data Product Manager

Talenthop; United States; On-site; USD 180,000 - 220,000; Full time

Job summary

Talenthop is seeking a Technical Product Manager, Trust & Safety to define data products enabling safe and reliable AI model training and evaluation. You will translate research needs into specifications and design RL environments and assessments to mitigate risk.

You will collaborate with researchers, engineers, policy experts, and delivery teams across our global labs and customers, shaping the roadmap and communicating outcomes to executives.

Qualifications

• 5+ years of product management with ML or security products.
• Experience with large language model training and evaluation.
• Ability to explain complex AI concepts to diverse audiences.
• Experience designing risk, performance, and impact metrics.
• Proven track record delivering new products in uncertain environments.

Responsibilities

• Define data products based on lab research goals for safety training and evaluations.
• Design sandboxed reinforcement learning environments to test AI behavior.
• Specify safe-behavior rubrics, verifiers, and reward signals.
• Define and track evaluation metrics for safety and trust.
• Prioritize development tasks by business and technical tradeoffs.
• Collaborate with researchers, engineers, policy experts, and delivery teams.
• Monitor threat landscape and incorporate risks into roadmap.
• Communicate specifications and findings to technical and executive stakeholders.

Skills

ML PM

LLM training

AI safety concepts

Python familiarity

Metrics design

Adversarial thinking

Stakeholder communication

Tools

Sandboxed environments

Job description

Talenthop is seeking a Technical Product Manager, Trust & Safety to define data products enabling safe and reliable AI model training and evaluation. You will translate research needs into specifications and design RL environments and assessments to mitigate risk.

You will collaborate with researchers, engineers, policy experts, and delivery teams across our global labs and customers, shaping the roadmap and communicating outcomes to executives.