Infomediji

• Lead and grow backend engineering teams (25+ engineers); own headcount planning, hiring, performance management, and career development for engineers across the organization • Own delivery commitments (sprint and quarterly goals) and ensure predictable execution against roadmap • Partner with Product Managers and Tech Leads to translate product goals into realistic technical roadmaps; balance feature delivery with technical debt, reliability, and operational needs • Design, evolve, and enforce engineering processes including planning, stand-ups, retrospectives, code review standards, incident response, and post-mortems • Track delivery health using key metrics (throughput, lead time, predictability rate, incident rate, MTTR) and drive continuous improvement initiatives • In collaboration with DevOps engineers, ensure teams meet agreed SLOs and reliability targets; own monitoring, alerting, and on-call accountability models • Build a culture of constructive feedback, psychological safety, and high engineering standards across backend teams • Report progress, risks, and staffing needs to Engineering Leadership in a structured, data-driven format

• Design ranking and retrieval models for main page, related content, and search • Build real-time recommendation systems for videos, shorts and infinite scroll timelines • Develop end-to-end recommendation pipelines, contributing to backend • Explore algorithms for Shorts generation

• Create visually attractive and intuitive user interfaces and experiences for web, mobile and VR applications and platforms • Understand user needs and behaviours, translating them into compelling and user-friendly design solutions • Develop interactive prototypes to demonstrate and validate design concepts, working closely with development teams • Collaboratively work with cross-functional teams to ensure seamless integration of design into the final product • Stay informed about industry trends, emerging technologies, and best practices in design to contribute to ongoing innovation

• Perform quality checks on published video content in a VR headset to ensure correct technical settings (eye alignment, noise reduction, focus, audio-video sync, clean playback, etc.) • Review user comments to identify additional insights and potential quality issues • Verify passthrough mask accuracy • Check the presence and correctness of AI scripts where applicable • Identify and report content quality issues • Monitor and respond to content-related comments and discussions on the forum • Communicate with content creators when necessary to resolve quality-related issues • Contribute to improving content presentation, including participation in shaping the main page logic to ensure a clean and consistent visual experience

• Develop native XR applications for Android XR and visionOS • Build and optimize real-time rendering systems • Work with OpenXR, Vulkan, Metal, and Compositor Services • Integrate shared native code with platform-specific layers • Debug and improve GPU/CPU performance • Use AI coding tools in day-to-day development

• Build immersive WebXR applications for VR and web platforms • Develop interactive 3D experiences using WebGPU • Design and optimize real-time rendering pipelines for performance and scalability • Integrate WebXR experiences with existing backend systems and APIs • Work with third-party SDKs to extend product capabilities • Debug, test, and optimize performance across desktop, mobile, and VR devices • Track and implement evolving WebXR standards and experimental features • Collaborate closely with cross-functional engineering teams • Use AI-assisted development tools in daily workflows

• Collect and consolidate financial reporting by product/business line/channel • Build and improve processes for automated financial reporting • Work with financial and product metrics, identify growth opportunities and revenue improvement areas • Prepare analytical insights, recommendations, and hypotheses to improve financial performance • Participate in reconciliation processes, data checks, and alignment of approaches together with the finance team • Collaborate with finance, operations, product, and BI teams to establish a unified reporting logic • Support and develop BI reporting, dashboards, and management analytics • Occasionally participate in task grooming, requirements structuring, and writing simple business/technical specifications for analytics or automation-related tasks

• Lead and manage brand presence in immersive technology • Identify and execute opportunities for industry collaborations • Collaborate with marketing teams for promotional initiatives • Build a strong personal brand for the company • Develop brand communication across various platforms • Engage with community users and manage brand reputation • Scale Reddit accounts from scratch and drive traffic to platform • Monitor community sentiment and optimize outreach strategies

• Collect and consolidate financial reporting by product / business line / channel • Build and improve processes for automated financial reporting • Work with financial and product metrics, identify growth opportunities and revenue improvement areas • Prepare analytical insights, recommendations, and hypotheses to improve financial performance • Participate in reconciliation processes, data checks, and alignment of approaches together with the finance team • Collaborate with finance, operations, product, and BI teams to establish a unified reporting logic • Support and develop BI reporting, dashboards, and management analytics • Occasionally participate in task grooming, requirements structuring, and writing simple business/technical specifications for analytics or automation-related tasks

• Collaborate with product, engineering, and marketing teams to define and monitor critical KPIs • Build and maintain dynamic dashboards and detailed reports to monitor and analyze performance across key product areas • Design, execute, and evaluate product experiments • Translate complex analytical insights into actionable strategies and recommendations for key stakeholders • Identify, diagnose, and resolve data quality issues to ensure accuracy and reliability of analytics processes • Develop predictive models to anticipate user behavior and proactively identify areas for product improvement