Technical Product Manager, Trust & Safety
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InnodataAI safety
Remote - United StatesFull-TimeMiddle
Salary180,000 - 220,000 USD per year
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Job Details
- Experience
- 5+ years of product management experience
- Required Skills
- PythonMachine LearningProduct Management
Requirements
- Have 5+ years of product management experience, including technical products in ML, AI data, security, or trust & safety.
- Be familiar with LLM training and evaluation, including SFT, RLHF/RLAIF, reward models, verifiers, and benchmark design.
- Have working knowledge of agentic AI, including tool use, computer-use agents, multi-step planning, and related failure modes.
- Understand AI safety concepts such as reward hacking, deceptive alignment, jailbreaks, and prompt injection.
- Be able to read code and review environment specs with engineers and make sound technical tradeoffs.
- Have experience designing metrics for risk, system performance, and user impact and using them to make decisions.
- Have a track record of shipping 0-to-1 products in fast-moving, ambiguous environments.
- Be able to explain complex technical ideas clearly to researchers, customers, and executives.
- Bring creative, adversarial thinking to anticipate model behavior and attack strategies.
- Comfort with Python and sandboxed environments such as Docker, VMs, and browser automation is a plus.
Responsibilities
- Translate lab research goals into product specs for safety training data, RL environments, and evaluations.
- Design sandboxed RL environments with misalignment and cyber traps.
- Specify safe-behavior rubrics, verifiers, and reward signals for agentic tasks.
- Define measurable safety and trust metrics, track blind spots, and drive iteration.
- Frame product problems, weigh business and technical tradeoffs, and distinguish MVP from ideal state.
- Partner with lab researchers, ML and platform engineers, red-teamers, policy experts, and delivery leads.
- Track agentic risks, alignment research, and attack techniques and turn them into roadmap items.
- Write product specs, customer briefs, and safety findings for researchers and executives.
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