• Define the long-term vision and multi-year product strategies for the core user experience on our mobile app and platform to achieve business objectives and drive growth. • Act as the primary link between engineering, design, marketing, and operations to align on technical solutions and ensure seamless execution. • Partner with UX research to translate complex user needs and market trends into new and improved features. • Drive features through the entire creative cycle, including ideation, technical specification, development, launch, analysis, and iterative improvement. • Identify and lead initiatives to build new AI experiences and ensure the platform is scalable, automated, and maintainable. • Expand app usage and engagement by identifying feature gaps and building new features to address them. • Serve as a trusted advisor to executives and internal teams, lead agile ceremonies, clearly communicating product roadmaps, rationale, and technical trade-offs.

• Enhance monitoring across technologies including operating systems, networking, hardware, databases, virtualization, cloud services, and applications • Work closely with users to incorporate their domain knowledge, ensuring we build monitoring that alerts before failures occur and provides useful out-of-the-box information • Collaborate with development teams to ensure successful delivery of product features and releases • Dive deep into Checkmk to jointly handle third-level support tickets with our developers, guiding them when product decisions are required • Act as the product subject-matter expert, providing guidance and support to internal teams including Sales and Marketing • Stay current with industry developments, emerging cloud technologies, and other IT infrastructure topics

• End-to-end product ownership of Xsolla LiveOps — including catalog management, promotion tools (discounts, bonuses, promo codes, offer chains), personalization, and loyalty mechanics • Define and maintain a prioritized product roadmap aligned with business goals, partner needs, and Xsolla's broader monetization strategy • Identify gaps and opportunities in LiveOps tooling, workflows, and automation to improve operational efficiency for studios using the platform • Drive the full product lifecycle: discovery, definition, development, release, and post-launch optimization • Establish and track KPIs to measure product performance, adoption, and business impact across partner integrations • Lead A/B testing and experimentation frameworks to validate hypotheses and improve platform outcomes • Collaborate cross-functionally with engineering, data, design, QA, and partner-facing teams at Xsolla • Partner closely with marketing and sales to align the product roadmap with go-to-market priorities, support positioning of Xsolla LiveOps capabilities, and contribute to partner acquisition and retention strategies • Translate complex operational and monetization requirements into clear, actionable product specifications and user stories • Serve as the primary product authority and escalation point for all matters related to Xsolla LiveOps

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers a high-impact opportunity to lead the vision, strategy, and execution of an advanced data and AI platform in a fast-growing digital commerce environment. You will oversee the full product lifecycle for data infrastructure, telemetry, analytics, experimentation, and machine learning–powered solutions that drive measurable outcomes for retail partners, advertisers, and internal teams. Working at the intersection of Product, Engineering, Data Science, and Analytics, you will define how data is collected, governed, modeled, and activated while scaling AI-driven capabilities to generate revenue, improve operational efficiency, and enhance customer experience. This position combines strategic leadership with hands-on decision-making, making it ideal for a product leader with deep data expertise and the ability to translate complex business needs into scalable, high-value solutions. - Define and execute the multi-year data and AI roadmap, including ETL pipelines, telemetry, identity, storage, transformation, and activation layers. - Partner with Engineering and Analytics teams to develop scalable, reliable, and cost-efficient data architecture. - Establish standards for data quality, governance, and privacy, aligning with retailer, advertiser, and internal data flows. - Drive improvements in data completeness, accuracy, and trust, ensuring reliable inputs for business KPIs. - Develop reporting, dashboards, and self-serve analytics for internal stakeholders and external partners. - Balance foundational platform investments with revenue-generating AI solutions, including audience optimization, personalized advertising, and promotional systems. - Collaborate with Data Science to deliver ML-powered features, translating models into explainable, actionable product outputs. - Mentor Product Managers and lead cross-functional teams across Product, Engineering, Data Science, Design, Revenue, and Operations. - Communicate vision and progress to executive leadership and stakeholders with clarity and credibility. Qualifications - 8–12+ years in Product Management, with significant experience in data platforms, analytics, or AI/ML-driven products. - Proven track record in managing data-driven products and leading cross-functional teams. - Strong understanding of data ingestion, ETL, warehousing, and reporting technologies. - Experience with personalization algorithms, recommendation systems, and machine learning applications. - Exceptional analytical, leadership, communication, and collaboration skills. - Experience influencing and coordinating cross-functional teams to achieve strategic priorities. - Ability to translate complex technical details into high-level strategy for diverse audiences. - Understanding of the software development lifecycle and online services management. - Proven experience in roadmap strategy, feature delivery, and product trade-offs. - Bachelor’s degree in Computer Science, Data Science, Business, or related field; MBA preferred. - Must be authorized to work in the U.S. without visa sponsorship. Preferred Qualifications - Background in retail media, ad tech, martech, ecommerce, or multi-tenant SaaS platforms. - Experience with attribution modeling, incrementality testing, or performance marketing analytics. - Familiarity with modern analytics stacks, feature stores, and ML lifecycle tooling. - Passion for technology, curiosity for deep technical knowledge, and commitment to learning. Benefits - Competitive salary and equity opportunities. - Comprehensive medical, dental, and vision coverage. - 401(k) plan with company match. - Flexible, remote-first work environment. - Opportunities to work with cutting-edge AI and ML-powered technologies. - Collaborative and high-growth culture of experimentation and ownership. - Professional growth through mentorship, technical skill development, and leadership opportunities.