About the role
Are you a product owner with a strong technical backbone, ready to shape an AI agent that changes how a global fintech builds software? At SimCorp, we are developing an internal AI agent that supports the software development lifecycle (SDLC) — helping engineers investigate code, analyze CI failures, review pull requests, work with backlog items, and automate recurring tasks through secure integrations with most of our internal engineering systems.
As Technical Product Owner, you will combine traditional Product Owner responsibilities with a strong focus on technical feasibility, architecture, integrations, and engineering alignment. You will maximize the value the agent delivers to its users — SimCorp's own engineers — while ensuring that solutions are technically sound, architecturally aligned, and that the team can deliver efficiently. You will collaborate with a system architect/Tech lead, supporting the team end to end: from discovery and prioritization through refinement, implementation, and acceptance.
WHAT WE WILL BE RESPONSIBLE FOR
As a Technical Product Owner, you will:
Business value
- Translate the needs of users and stakeholders into clear, implementable features, user stories, and acceptance criteria.
- Own and prioritize the product backlog, maximizing the value the agent delivers across the software development lifecycle.
- Support the team during refinement, planning, implementation, and feature acceptance.
- Clarify requirements early and challenge assumptions to improve both business and technical quality.
- Validate and test delivered stories and features, ensuring they meet user needs and quality expectations.
- Measure adoption, usefulness, and impact of the agent's capabilities, and steer priorities based on data and user feedback.
Technical quality
- Work closely with architects and tech leads to ensure solutions align with the target architecture and long-term product vision.
- Make technical constraints, architectural decisions, and non-functional requirements — security, reliability, cost, and safety of agent actions — visible in prioritization decisions.
- Evaluate the technical implications, dependencies, risks, and implementation options for new capabilities and integrations.
- Balance feature delivery with maintainability, scalability, and technical-debt reduction.
Capability development and teams' growth
- Champion the use of AI across engineering teams to accelerate delivery and improve quality and operational efficiency.
- Accelerate the onboarding and growth of team members through coaching and hands-on guidance.
- Spread knowledge of the agent's capabilities across the organization and drive adoption.
Management and stakeholder alignment
- Partner with engineering and product management leadership on backlog, capacity, dependencies, quality signals, and delivery risks.
- Act as the bridge between product management, engineering, architecture, and business stakeholders.
- Mentor senior and lead engineers, QA engineers, and product owners, and serve as a subject-matter expert for the agent's capabilities and workflows.
WHO WE ARE
For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, education, professional experiences, ages, and backgrounds. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients.