Innodata seeks a Technical Product Manager to define and deliver data products for frontier AI labs, focusing on trust and safety in model training and evaluation. The role owns product specifications, safety-oriented RL environments, metrics, and cross-functional delivery, requiring deep expertise in LLM training, AI safety, and agentic AI failure modes.
What you’ll do
Own product specifications for safety-focused data products
Define and deliver RL environments and evaluations
Develop metrics that capture risk and system performance
Prioritize features and tradeoffs
Drive cross-functional delivery with engineers and researchers
What you’ll need
5+ years of product management experience in ML, AI data, security, or trust & safety
Hands-on familiarity with LLM training and evaluation: SFT, RLHF/RLAIF, reward models, verifiers, benchmarks
Working knowledge of agentic AI, including tool use, computer-use agents, and multi-step planning
Strong grasp of AI safety concepts such as reward hacking, deceptive alignment, jailbreaks, and prompt injection
Technical depth to read code and review environment specs
Track record of shipping 0-to-1 products in fast-moving, ambiguous environments
Original job description
Innodata is hiring a Technical Product Manager for Trust & Safety to define and deliver data products used by frontier labs to train and evaluate AI models. The role owns product specifications, safety-focused RL environments and evaluations, metrics, prioritization, and cross-functional delivery.5+ years of product management experience, including…