Product Owner

Infatica.io

Product Owner overseeing SaaS/DaaS product lifecycle and strategy at Infatica.io. Collaborating with cross-functional teams to enhance service quality and customer value while ensuring compliance.

Posted 7/13/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing the end-to-end lifecycle of SaaS and DaaS products, focusing on product strategy, quality standards, and customer value. Proficient in data-driven decision-making, stakeholder management, and ensuring compliance with security and privacy regulations.

Highest-signal resume keywords

Product Management ExperienceAI-Powered Product DevelopmentAnalytical MindsetStakeholder ManagementCompliance Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product StrategyProduct Requirements DefinitionService-Level Objectives (SLA)Product Success MetricsTechnical SpecificationsOperational EfficiencyCost OptimizationData-Driven Decision MakingPrototypingContinuous Improvement

Soft Skills

Communication SkillsPrioritizationDecision-MakingCross-Functional CollaborationAnalytical Thinking

Tools & Technologies

SaaSDaaSAPIsCloud-Based ProductsAI-Enabled Products

Industry Keywords

GDPRSOC 2Product LifecycleUser Feedback AnalysisService Quality

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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