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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Product Owner - R01566192 - **Company:** Brillio - **Location:** Santa Ana, CA, United States - **Experience:** Expert - **Salary:** $165,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Computer Vision, Microsoft Azure, Cloud Computing, Information Engineering, Dataspaces, Machine Learning, Scrum Methodology, Software Product Management, Software Deployment, Software Engineering, Systems Integration, Large Language Models, Information Technology, Data Analytics, Data Pipelines - **Published:** June 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e150c459efcb93cc ## About the Role Do you have experience in Technical product management within tech?, * 8-12+ years of overall experience across product management, analytics, AI/ML, or enterprise technology delivery. * 4-6+ years of experience as a Product Owner or Product Manager for data- or AI-driven products. * Proven experience working onsite with US clients, preferably in consulting or enterprise delivery environments. * Early-career hands-on experience in analytics, data engineering, data science, or software engineering. Technical Skills * Strong understanding of: * AI/ML concepts and solution lifecycles * Analytics platforms and data ecosystems * Cloud platforms (GCP, Azure, or AWS) * APIs, data pipelines, and system integrations * Ability to translate technical concepts into clear business-focused outcomes. Good to Have / Preferred * Experience in the construction or built-environment industry. * Division 8 domain knowledge (doors, frames, hardware, glazing systems). * Exposure to ConTech platforms, BIM/CAD workflows, or blueprint/document analytics. * Experience applying Computer Vision or GenAI in industrial or operational settings. Band C Expectations * Strong individual contributor with end-to-end ownership of product delivery. * Comfortable working independently in an onsite client environment. * Hands-on in backlog management, requirement definition, and stakeholder engagement., * Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Analytics, or related field. * Product management or agile certifications (CSPO, SAFe POPM, etc.) are a plus. ## Description Product Ownership & Delivery * Own the product backlog, roadmap, and sprint priorities for AI and analytics initiatives. * Translate business needs into detailed user stories, acceptance criteria, and product requirements. * Drive sprint planning, backlog grooming, demos, and release readiness. * Ensure predictable delivery, quality outcomes, and alignment with client priorities. AI & Analytics Enablement * Lead AI-enabled use cases including: * Predictive and operational analytics * Machine Learning solutions * Computer Vision (drawings, images, site inspections) * Document intelligence, OCR, and GenAI / LLM-based applications * Collaborate closely with data science and engineering teams on solution design, experimentation, and production deployment. * Support AI lifecycle governance, performance tracking, and continuous improvement. Construction Domain Engagement * Work onsite with client stakeholders across construction operations, estimation, procurement, and project delivery. * Apply construction domain context to shape meaningful AI and analytics features. * Leverage Division 8 knowledge (doors, frames, hardware, glazing, access systems) where applicable to inform product decisions. * Bridge communication between construction SMEs and technical delivery teams. Client & Stakeholder Management * Act as the primary onsite point of contact for product-related discussions. * Facilitate workshops, requirement discussions, and solution walkthroughs. * Provide regular updates on progress, risks, and dependencies to client leadership. * Coordinate effectively with offshore and near-shore delivery teams. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)