> Markdown version of [/jobs/ext/2693265-product-owner](https://www.wearedevelopers.com/jobs/ext/2693265-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - **Company:** American CyberSystems - **Location:** Charlotte, NC, United States - **Salary:** $124,800.0 - $135,200.0 - **Contract:** Temporary contract - **Skills:** A/B Testing, Agile Methodology, Artificial Intelligence, Information Engineering, Machine Learning, Software Product Management, Software Engineering, Data Analytics - **Published:** September 3, 2026 - **Apply:** https://www.jofdav.com/jobs/59523074-product-owner ## About the Role * Proven experience in product ownership or management within financial services, client onboarding, or customer relationship systems * Experience delivering data-driven or AI-enabled products in partnership with engineering and data science teams (for example: recommendations, decisioning, document intelligence, workflow automation, or generative AI assistants) * Strong problem-solving skills and the ability to overcome ambiguity * Prior experience with Agile methodologies and a robust understanding of the full software development lifecycle * Proven experience in product ownership or management within financial services, client onboarding, or customer relationship systems * Working knowledge of core AI/ML concepts (model training versus inference, features, drift, evaluation, and limitations) and ability to communicate trade-offs to non-technical stakeholders. ## Description * Align product strategy with execution, maintaining the product roadmap and prioritizing the body of work for current and future delivery * Translate business problems into AI product epics and user stories with clear acceptance criteria, measurable outcomes, and defined human-in-the-loop decision points where needed * Partner with data science, data engineering, and software engineering to prioritize data requirements, model development work, integration needs, and technical enablers * Define and track AI product performance and quality metrics; drive continuous improvement through experimentation (for example: A/B tests), feedback loops, and monitoring * Manage system plans and artifacts, ensuring timely delivery against resource, stakeholder, timeline, and milestone requirements * Ensure responsible AI practices are embedded in delivery (for example: transparency, fairness considerations, privacy/security requirements, and appropriate use controls) in collaboration with relevant stakeholders * Lead, coach, and develop a matrixed team in pursuit of the product vision and team member growth * Advise and collaborate with other product teams to maintain a unified product strategy and progression ## Related Videos - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [User 1st! Technology 2nd! Stop building AI nobody uses - start delivering real business outcomes](https://www.wearedevelopers.com/videos/100337-user-1st-technology-2nd-stop-building-ai-nobody-uses-start-delivering-real-business-outcomes) - [Would You Buy Your Own HR? A Product Mindset for People Leaders](https://www.wearedevelopers.com/videos/1874-would-you-buy-your-own-hr-a-product-mindset-for-people-leaders) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) ## Related Articles - [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) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [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) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)