Technical Product Owner – Order Orchestration
Experience: 7+ years
Domain: Telecom / Order Management / Order Orchestration
Position Overview
We are looking for a Technical Product Owner – Order Orchestration with strong experience in telecom, order orchestration, APIs/integration, microservices and event-driven architectures.
The ideal candidate will bridge business requirements and technical execution, with a strong understanding of telecom order lifecycle, integrations, APIs, AWS workflows and production metrics.
The candidate should also have practical experience using GenAI tools such as Kiro or Claude for product analysis, requirements, documentation, solution exploration and other product-development activities.
Key Responsibilities
- Own product requirements and roadmap for Order Orchestration capabilities.
- Define and prioritize features, epics and user stories.
- Work closely with engineering, architecture, QA, operations and business stakeholders.
- Understand telecom order lifecycle and orchestration processes.
- Define API and integration requirements across downstream and upstream systems.
- Work with microservices and event-driven architectures.
- Understand AWS serverless workflows using Lambda and Step Functions.
- Define and maintain quality and acceptance standards.
- Develop clear acceptance criteria and validate delivered functionality.
- Monitor production metrics and identify opportunities for improvement.
- Use observability and production data to identify issues and prioritize enhancements.
- Support RCA and cross-functional resolution of production issues.
- Work in an Agile/Scrum environment.
- Leverage GenAI tools to improve requirements analysis, documentation and product-development efficiency.
- Validate AI-generated outputs for accuracy, security and business relevance.
Required Skills
- 5+ years of Product Ownership / Technical Product Management experience.
- Strong API and systems integration understanding.
- Experience with Order Orchestration / Order Management.
- Strong telecom domain experience.
- Understanding of microservices.
- Experience with event-driven architecture.
- AWS Lambda and Step Functions.
- Strong Agile/Scrum experience.
- Experience defining quality and acceptance standards.
- Understanding of production observability and metrics.
AI Skills
- Practical experience with GenAI tools.
- Prompt engineering.
- Kiro, Claude or similar AI tools.
- Understanding of LLM use cases.
- RAG concepts.
- API/SDK integration.
- AI output validation.
- AI guardrails and responsible AI usage.
Good to Have
- Java/Spring experience.
- Apigee.
- Kafka.
- Telecom order management platforms.
- Experience with billing, pricing or provisioning systems.
- Experience working closely with engineering teams on API and microservice architecture.
