Product Owner

Job Title: Technical Product Owner (.NET / Azure / AI)

Overview

Technical Product Owner (TPO)

Team break down -theyre a team of .NET-focused engineers building cloud-native applications that power our digital commerce platform.

This role is highly focused on driving enterprise AI initiatives across customer-facing and internal systems. Theyre looking for a Product Owner with a strong .NET/Azure development background who has evolved into a technical leader capable of owning and delivering AI-enabled products at scale.

You will serve as the bridge between business strategy and engineering execution—owning the backlog, guiding development priorities, and ensuring successful delivery of AI-powered capabilities integrated into modern distributed systems.

What You’ll Be Doing

• Own and manage the product backlog for a .NET-based, cloud-native and AI-enabled application ecosystem
• Lead the planning and execution of enterprise AI initiatives, from concept through production
• Define and refine user stories with clear technical and AI-specific acceptance criteria
• Partner with engineers and architects to design and deliver:
• RESTful APIs and microservices
• Event-driven systems (Kafka, Azure Service Bus, Event Grid)
• AI-integrated application workflows
• Drive the integration of AI/ML capabilities into applications, including:
• Personalization and recommendation systems
• Intelligent automation and decisioning
• Conversational AI and LLM-based features
• Apply and guide best practices in context engineering (prompt design, context management, data grounding, and response optimization for LLM-based systems)
• Collaborate with teams leveraging:
• Azure AI services (Azure OpenAI, Cognitive Services, Azure ML)
• Data pipelines and model integration workflows
• Participate in architecture and system design discussions, ensuring scalable and maintainable solutions
• Review and approve completed work, ensuring alignment with both business goals and technical quality
• Support release planning and deployment of AI-enabled features in Azure environments
• Drive Agile ceremonies and ensure delivery of high-impact features
• Act as a key stakeholder in aligning AI strategy with product and engineering execution

Required Qualifications

• 5 years of experience in software development, product ownership, or a hybrid technical role
• Previous hands-on development experience with C# and .NET
• Experience working with Microsoft Azure cloud environments
• Proven experience leading AI/ML initiatives in an enterprise environment
• Strong understanding of:
• APIs, microservices, and distributed systems
• Event-driven architecture and messaging systems
• Cloud-native application design
• Practical understanding of LLM-based systems and AI integration patterns
• Experience with or strong knowledge of context engineering, including:
• Prompt design and optimization
• Context window management
• Data grounding and retrieval (RAG concepts)
• Experience defining and prioritizing work for engineering teams
• Strong communication skills with the ability to translate between technical and business stakeholders

Preferred Qualifications

• Experience transitioning from Software Engineer to Product Owner or Technical Product Manager
• Hands-on experience with:
• Azure OpenAI or similar LLM platforms
• Machine learning pipelines and model lifecycle
• Data platforms supporting AI workloads
• Familiarity with:
• Containerization (Docker, Kubernetes, AKS)
• Observability tools (Application Insights, OpenTelemetry)
• Infrastructure as Code (Terraform, Bicep)
• Experience in eCommerce, retail, or high-scale digital platforms

What We’re Not Looking For

• Product Owners without technical or development background
• Candidates without real experience leading AI initiatives
• Individuals who use AI terminology but lack understanding of implementation and integration
• DevOps/SRE profiles without product ownership experience
• Candidates who cannot engage in technical discussions around AI systems and architecture

Equal Employment Opportunity

Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.