Product Owner (GenAI Agents)

Quick Facts

• Role: Product Owner (GenAI Agents)

• Work mode: 100% remote

• Compensation: 1200–1360 PLN net/day (depending on experience)

Description

Own the vision, roadmap, and product delivery for an agent-based GenAI system operating in production. You will design agent behavior and autonomy, manage GenAI unit economics (cost, latency, margin), run discovery and validation, and lead experimentation and safe rollouts. You will also ensure regulatory compliance and maintain production stability when models and LLM versions change.

Responsibilities

• Define product vision and direction for an agent-based system; set priorities and roadmap based on business value, model constraints, and tech risks

• Design agent behavior: autonomy level, fallbacks, user interactions, and how uncertainty/errors are communicated

• Manage GenAI product economics: unit cost, model-choice impact on margin/latency/stability

• Collaborate with GenAI engineers, analysts, UX, legal/compliance, and security; make product decisions based on their input

• Run discovery and validation: interviews, process mapping, assess if automation is worth it, and define product hypotheses

• Execute experimentation: A/B tests, rollouts, feature flags, iterative autonomy increases, and risk control

• Ensure regulatory compliance: AI Act, GDPR (RODO), auditability, and transparency of agent actions

• Maintain production product: monitor stability, respond to model regressions, handle LLM version updates and quality impact

Requirements

• Practical experience building advanced agents with complex processes and multi-system integrations

• Product ownership experience (vision, roadmap, implementation, production maintenance) for GenAI

• Minimum 1 year building a GenAI product in a production environment with measurable quality and user feedback

• Ability to address hallucinations, context window effects, model variability, and inference costs within the backlog

• Capability to define agent autonomy boundaries (agent actions vs proposals vs human confirmation)

• Understanding of GenAI product economics (unit cost, latency, margin) and model-choice impact

• Experience conducting discovery and validating whether problems are worth automating

• Experience with A/B testing, rollouts, and feature flag-based releases

• Knowledge of AI regulatory compliance (AI Act, GDPR/RODO) and requirements for auditability and transparency

Benefits

• Long-term cooperation

• Technical trainings and certificates; career growth support

• Mentoring Competence Center community

• Benefits package: Multisport, private medical care, life insurance

• Friendly work atmosphere, integration events, and team-building meetings