Product Owner positions focus on delivering results in their domain. This page aggregates open Product Owner roles and what employers typically expect.
Infatica.io is a global provider of proxy and DaaS solutions. We're building our own high-load web scraping platform: an API where you can submit any URL and receive clean HTML or structured JSON output, without worrying about proxies, CAPTCHAs, or anti-bot systems. **Key Responsibilities:** • Own the end-to-end lifecycle of the company's SaaS/DaaS products, including product strategy, roadmap, service quality, and customer value. • Define and maintain product requirements, service-level objectives (SLA), and quality standards to ensure reliable and consistent product performance. • Establish frameworks for measuring product quality, identifying issues, evaluating improvements, and supporting safe product releases. • Balance product performance, operational efficiency, and cost while optimizing the customer experience. • Validate new product ideas and concepts through rapid prototyping and experimentation before full-scale development. • Work closely with engineering, design, and business stakeholders to deliver high-impact product initiatives from discovery to launch. • Ensure product decisions align with security, privacy, and compliance requirements, including industry standards and regulatory expectations. • Prioritize initiatives based on customer value and business impact, making data-driven decisions about feature investments and product direction. • Monitor product performance, analyze user feedback and operational metrics, and continuously improve the product experience. • Communicate product vision, priorities, and trade-offs clearly across technical and non-technical teams. - Several years of experience in Product Management, preferably in SaaS, platform, data, or infrastructure products. - Experience delivering AI-powered or data-driven product features from concept to production, including defining requirements, measuring success, and monitoring product performance. - Strong analytical mindset with experience designing product success metrics, evaluating feature quality, and driving continuous improvements. - Ability to define clear product requirements, functional specifications, and service expectations for technical products and APIs. - Solid technical understanding with the ability to communicate effectively with engineering teams, discuss system performance, scalability, and product trade-offs. - Understanding of operational efficiency and cost optimization in cloud-based or AI-enabled products. - Familiarity with security, privacy, and compliance best practices, including standards such as GDPR and SOC 2. - Strong stakeholder management, prioritization, and decision-making skills in cross-functional environments. Nice to Have - Technical or engineering background with the ability to participate in technical discussions and design reviews. - Portfolio or case studies demonstrating successful delivery of AI-powered, data-intensive, or platform products. - Experience working with products that rely on data-driven models and continuous performance optimization. - Participate in developing the company's key product from scratch - High autonomy and influence on architecture and team decisions - Budget for conferences, courses, and work tools - Competitive compensation package - Remote work flexibility