> Markdown version of [/jobs/ext/440111-product-owner](https://www.wearedevelopers.com/jobs/ext/440111-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:** Lexical Intelligence, LLC - **Location:** Bethesda, MD, United States (Remote available) - **Experience:** Expert - **Salary:** $115,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Confluence, JIRA, Bioinformatics, Information Systems, Data Systems, Graph Theory, Machine Learning, Natural Language Processing, Scrum Methodology, Software Product Management, Software Engineering, Data Processing, Cloud Platform System, Functional Dependencies, Pubmed, Information Technology, Data Analytics, Machine Learning Operations, Interactive Whiteboards - **Published:** June 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5653f4c18d7a3551 ## About the Role Do you have experience in Technical product management within tech?, Do you have a Bachelor's degree?, We are looking for a Technical Product Owner to drive the roadmap and strategy for our AI/ML-powered NLP and analytics software. This role requires deep experience in software development lifecycle management, agile methodologies, and biomedical data analytics, with a focus on product ownership for Artificial Intelligence capabilities. The Product Owner will have a firm understanding of portfolio analysis tools, user experience design, and stakeholder engagement. The Product Owner shall be able to work well within a team of scientists, software engineers, data scientists, and technical writers. The selected applicant will be subject to a pre-employment background and reference check., * 5+ years of product management experience in software development * Bachelor's degree or other degree(s) in Computer Science, Information Systems, Bioinformatics or related fields * Experience with agile development methodologies (Scrum, Kanban) * Demonstrated ability to translate user needs into technical requirements * Strong communication skills and ability to work with diverse stakeholders * Experience with AI/ML integration into software applications and managing the product lifecycle of machine learning models. * Demonstrated systems thinking experience, including evaluating end-to-end workflows, cross-functional dependencies, and downstream impacts of product decisions Preferred Qualifications: * Experience working with federal agencies, particularly NIH * Experience with portfolio analysis tools and biomedical data systems * Knowledge of bibliometrics, graph theory, or natural language processing * Experience with tools such as Shortcut, Jira, or Confluence for tracking user stories * Familiarity with UI/UX design principles and tools such as Miro * Experience with cloud-based infrastructure (AWS GovCloud, STRIDES) * Knowledge of biomedical research data sources and systems (IMPACII, PubMed, etc.) * Experience with AI/ML integration into software applications * Familiarity with MLOps (Machine Learning Operations) practices and tools. * Experience defining user stories and technical requirements specifically for AI features (e.g., model performance metrics, data requirements, and feedback loops). Responsibilities include ensuring compliance with organizational security and privacy policies, protecting sensitive data and systems, reporting security incidents, and participating in required cybersecurity training. The role may also involve implementing best practices related to access control, data handling, and risk mitigation within the scope of assigned duties. All candidates will be required to undergo a background check and must be authorized to work in the United States. ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [42 x 2 Canvases Later: Two Years, Two Minds, Many Lessons](https://www.wearedevelopers.com/videos/1458-42-x-2-canvases-later-two-years-two-minds-many-lessons) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Command and Conquer: How we let an LLM control our Software](https://www.wearedevelopers.com/videos/2056-command-and-conquer-how-we-let-an-llm-control-our-software) - [A Founder's Journey : From Startup Chaos to Purposeful Growth](https://www.wearedevelopers.com/videos/1926-a-founder-s-journey-from-startup-chaos-to-purposeful-growth) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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)