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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Product Owner, AI Authoring Systems - **Company:** Access Dubuque - **Location:** Dubuque, IA, United States (Remote available) - **Experience:** Expert - **Salary:** $97,200.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Iterative and Incremental Development, Machine Learning, Natural Language Processing, Software Product Management, Large Language Models, Deep Learning, Kubernetes, Data Analytics - **Published:** June 11, 2026 - **Apply:** https://www.juju.com/job/00000000g72pxq ## About the Role + Bachelor's degree, advanced degree preferred. + 5-7 years' experience in product management or related field with a focus on AI driven products and features. + Strong working knowledge of LLM-powered product patterns and common orchestration frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex), with the ability to translate capabilities/constraints into requirements and tradeoffs; hands-on engineering experience is not required. + Understanding of NLP, machine learning, and deep learning concepts as applied to LLM/GenAI systems (e.g., embeddings, retrieval, evaluation, and risk/quality tradeoffs). + Knowledge of AI ethics, bias mitigation, and responsible AI development. + Data-driven mentality with focus on analyzing and synthesizing ROI, usage, and/or research data to understand market trends and product performance to create data-informed strategies. + Track record of successful AI product and/or feature launches. + Experience managing and delivering multiple projects to deadline and budget simultaneously. + Comfortable with ambiguity; adapts and pivots quickly in response to changing conditions. + Thrives in a fast-paced, deadline-oriented environment. + Professional experience with agile methodologies and processes. ## Description + Drive AI product strategy across the authoring ecosystem, identifying opportunities where AI can meaningfully accelerate content development, improve quality, and expand delivery capabilities. + Create investment business cases supporting platform strategy, including, KPI definition, stakeholder approvals, buy/build/partner recommendations, and execution accountability. + Conduct ongoing market and user research to deeply understand authoring team needs, content development challenges, and the competitive landscape for AI-powered authoring tools. + Partner with business and product leadership to build an iterative development roadmap that delivers measurable customer value and drives revenue growth. + Lead evaluation, selection, and management of AI technology partners and vendors, ensuring alignment with platform strategy, ethical AI principles, and cost optimization. AI & Technical Implementation + Lead strategy and implementation of AI-powered authoring features including intelligent content generation, adaptive recommendations, automated tagging and taxonomy, and quality assurance tooling. + Collaborate with data science and engineering teams to develop and refine AI/ML models that enhance authoring workflows and improve content outcomes. + Maintain strong working knowledge of LLM-powered product patterns (e.g., RAG, prompt orchestration, evaluation/guardrails) and common orchestration frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex) to define feasible, high-value features-without requiring hands-on engineering. + Oversee ethical AI implementation-ensuring fairness, transparency, bias mitigation, and privacy across all AI-driven authoring features. + Define and monitor AI-specific success metrics, including model performance, user adoption, content quality improvements, and ROI of AI investments. Authoring Ecosystem Ownership + Own the end-to-end product lifecycle for authoring systems-from conception and requirements through launch, iteration, and continuous improvement. + Serve as the voice of the customer within the authoring ecosystem, representing production teams, SMEs, vendors, and instructional designers in all product decisions. + Partner with technical and product leaders across the organization to align authoring platform investments with broader content strategy and delivery goals. + Lead business acceptance testing (BAT), product training, and enablement for portfolio, marketing, and sales stakeholders. + Partner with customer support and sales teams to troubleshoot authoring system pain points and drive continuous product improvements. Cross-Functional & GTM Execution + Align and influence cross-functional teams-Engineering, Data Science, UX, Production and Product Development, and Platform-around the AI-authoring product vision. + Effectively communicate complex technical concepts and AI capabilities to senior leadership and non-technical stakeholders. + Partner with content teams and business stakeholders on all aspects of the Go-to-Market Plan for new features, including data capture, release timelines, training, and internal/external communications. + Measure and report on in-field product performance against KPIs; update internal stakeholders and adjust strategies as market conditions evolve. ## Related Videos - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [AI Killed DevOps... 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