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.
Requirements
- 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.
Benefits
- 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
