Technical Product Owner

InRhythm; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

InRhythm is seeking a Technical Product Owner (AI Solution Owner) to blend product ownership with prompt engineering and full-stack technical leadership. You will translate business intent into precise specifications for Claude-driven development and ensure alignment across Java/Spring Boot backend APIs, data models, and Angular components.

You will own the specification pipeline, design reusable templates, and manage the AI‑DLC workflow, including context packs and governance, while balancing

Qualifications

• 5+ years in a Technical Product Owner, Systems Analyst, or Technical PM role with enterprise software delivery.
• Hands-on or deep fluency in enterprise Java (Spring Boot, REST APIs) and modern Angular (TypeScript, components, state).
• Proven ability to author clear, machine-readable specifications for AI-assisted development.
• Experience crafting prompts for LLMs in a software engineering context.
• Ability to decompose complex workflows into discrete, testable technical components.

Responsibilities

• Own the Specification Pipeline: author, maintain, refine structured feature specifications for full-stack development.
• Design stack-specific spec templates for Java and Angular architectures, including domain models and API contracts.
• Manage the AI-DLC workflow from requirements ingestion to code generation and merge governance.
• Maintain codebase context packs and architecture docs to align generated code with standards.
• Prioritize AI-driven generation vs. manual engineering based on architectural complexity; track delivery metrics.

Skills

Java & Angular

Structured Spec Authoring

AI Prompt Engineering

Technical Product Ownership

Analytical Decomposition

Job description

Technical Product Owner (AI Solution Owner)

The InRhythm Opportunity

InRhythm is establishing a modern software engineering practice built around an AI-driven Development Lifecycle (AI-DLC) methodology: spec-driven, agentic, and powered by Claude. As a Technical Product Owner (AI Solution Owner), you will be the engine behind the pod's delivery velocity, sitting at the intersection of complex full-stack engineering requirements and AI-augmented execution. You will translate business intent into precisely structured specifications that Claude and engineering teams can act on with minimal ambiguity. This is a uniquely technical role: part product owner, part prompt engineer, and part full-stack technical delivery lead.

Your Impact

The velocity and accuracy of the entire AI-DLC pod depend on the quality of your specifications. Poorly structured requirements produce code debt and rework. Your work directly determines how fast features reach production, how clean the full-stack architecture remains, and how effectively the agentic pipeline scales. Every specification template, prompt pattern, and codebase context pack you build will become core intellectual property for the firm.

What You Will Do

• Own the Specification Pipeline: Author, maintain, and continuously refine structured feature specifications that drive full-stack development, covering Java/Spring Boot backend APIs, data models, Angular components, and explicit acceptance criteria.
• Design Stack-Specific Spec Templates: Build reusable specification templates tailored to a Java and Angular architecture, ensuring they surface necessary technical context including domain models, state management, API contracts, and edge cases.
• Manage the AI-DLC Workflow: Oversee the end-to-end specification pipeline from initial requirements ingestion through LLM code generation, human code review, and merge governance.
• Maintain Codebase Context Packs: Author and update technical reference artifacts, architecture docs, style guides, and domain summaries injected into LLM context windows to keep generated Java and Angular code aligned with standards.
• Prioritize Agentic Work: Evaluate feature backlogs to determine suitability for AI-driven generation versus manual engineering execution based on architectural complexity.
• Measure and Optimize Delivery: Track execution quality metrics (rework rate, review cycles, unit test pass rates) to systematically iterate on spec quality and prompt patterns.

Must Have Experience

• Full-Stack Technical Depth (Java & Angular): Hands-on background or deep technical fluency in enterprise Java (Spring Boot, REST APIs, microservices architectures) and modern Angular (component design, routing, state management, TypeScript). You must be able to write and critique technical specs at a level that engineers and AI agents can execute directly.
• Structured Specification Authoring: Proven track record authoring clear, machine-readable specifications using BDD/Gherkin, frontmatter markdown, or formal specification frameworks.
• AI & Prompt Engineering: Practical experience crafting, testing, and optimizing prompts for LLMs (Claude, GPT, or similar) within a software engineering context.
• Technical Product Ownership: 5+ years in a Technical Product Owner, Systems Analyst, or Technical PM role collaborating directly with engineering teams on enterprise software.
• Analytical Decomposition: Demonstrated capability to break complex business workflows into discrete, testable, and deterministic technical components.

Nice to Have Experience

• Agentic Tooling & Frameworks: Exposure to prompt libraries, context window management, or orchestration frameworks (LangChain, LlamaIndex).
• Context Strategies: Experience with codebase indexing, Retrieval-Augmented Generation (RAG), or compressed context management.
• Regulated Domain Knowledge: Experience delivering software within enterprise financial services, asset management, or regulated industries.

The InRhythm Consultant

At InRhythm, we are more than technical executors. Every consultant is expected to demonstrate:

• Strategic Thinking: Connecting business drivers directly to full-stack execution and understanding how specification quality drives engineering throughput.
• Clarity and Ownership: Taking complete ownership of deliverable quality and clearly articulating trade-offs between automated generation and custom engineering.
• Stakeholder Alignment: Building trust across technical and business partners to ensure business intent is preserved through every stage of delivery.
• Bias to Measurable Outcomes: Relentlessly tracking and improving key delivery metrics to prove the value of spec-driven, AI-augmented engineering.

Work Authorization:

Candidates must be legally authorized to work in the United States without current or future sponsorship.