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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Product Owner - **Company:** Mondelez International - **Location:** Plano, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $44,000.0 - $154,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Big Data, Decision Support Systems, Machine Learning, Scrum Methodology, Application Enhancement Tool, Tools for Reporting, Marketplace - **Published:** July 22, 2026 - **Apply:** https://fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/jobs/preview/26500 ## About the Role The ideal candidate will have strong experience in customer discovery, product strategy, Agile delivery, and data-driven decision-making. This role requires the ability to operate comfortably in fast-paced environments, manage ambiguity, and influence stakeholders across product, engineering, design, and business teams., * 7+ years of product management experience delivering consumer-facing digital products. * Proven experience leading products from discovery through launch and post-launch optimization. * Strong experience conducting customer research, usability testing, and product discovery activities. * Demonstrated ability to define product strategy and prioritize features using customer insights, analytics, and business goals. * Experience creating PRDs, user stories, acceptance criteria, and roadmap documentation. * Strong understanding of Agile methodologies, sprint planning, backlog management, and iterative delivery practices. * Excellent written and verbal communication skills with strong stakeholder management capabilities. * Experience working directly with engineering and design teams in fast-paced product organizations. * Strong analytical and problem-solving skills with a data-driven mindset. * Ability to manage ambiguity, influence decisions, and drive alignment across cross-functional teams., * Experience in automotive, fintech, lending, marketplace, or other digital platform-based industries. * Experience building AI/ML-powered product features such as personalization, recommendations, or intelligent search. * Familiarity with regulatory or compliance-driven product environments. * Experience using PR/FAQ or similar "working backwards" product frameworks. * Experience with experimentation platforms, analytics tools, and AI-assisted product delivery workflows. Core Skills * Product Strategy & Road mapping * Agile Product Management * Customer Discovery & Usability Testing * Product Requirements Documentation (PRD) * Feature Prioritization & Backlog Management * Consumer Digital Product Development * Analytics & KPI Definition * Cross-Functional Leadership * Stakeholder Management * AI-Enabled Product Delivery * Data-Driven Decision Making * Communication & Presentation Skills ## Description * Own and drive product strategy, roadmap, and execution for key digital product areas. * Define product vision and align priorities with customer needs, business goals, and market opportunities. * Create and maintain Product Requirements Documents (PRDs), Press Release and FAQ (PR/FAQ) documents, user stories, and acceptance criteria. * Define measurable product goals, KPIs, and success metrics to evaluate business and customer impact. Customer Discovery & Product Insights * Lead customer discovery efforts including interviews, usability testing, and research sessions to understand user behaviors and pain points. * Translate customer insights and business needs into scalable product capabilities and user experiences. * Use qualitative and quantitative data to validate assumptions and influence product direction. Product Prioritization & Delivery * Prioritize features and initiatives based on customer value, business impact, technical feasibility, and strategic alignment. * Own and manage product backlogs, release planning, and feature sequencing within Agile delivery frameworks. * Partner closely with engineering and design teams to ensure delivery aligns with product vision and customer expectations. * Drive incremental product releases and continuous iteration based on feedback and analytics. Data-Driven Decision Making * Define instrumentation requirements and partner with analytics teams to establish dashboards and reporting frameworks. * Monitor product performance, feature adoption, customer engagement, and operational metrics. * Use experimentation, analytics, and user feedback to optimize product outcomes and guide future investments. Cross-Functional Leadership * Collaborate with stakeholders across engineering, UX/UI, operations, compliance, analytics, and executive leadership teams. * Communicate product strategy, priorities, trade-offs, and roadmap updates effectively to both technical and non-technical audiences. * Drive alignment and decision-making across multiple teams and stakeholders. AI-Enabled Product Practices * Leverage AI-powered tools and workflows to improve product discovery, documentation, prototyping, backlog refinement, and delivery processes. * Evaluate opportunities to incorporate AI/ML-driven capabilities into digital products and customer experiences. * Promote modern product management practices and continuous improvement across teams. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [What is product discovery and why do developers need it?](https://www.wearedevelopers.com/magazine/517-what-is-product-discovery-and-why-do-developers-need-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)