Product Engineer

simcorp; Poland; On-site; PLN 180,000 - 240,000; Full time

Job summary

SimCorp in Poland is seeking a Product Engineer who translates business goals into clear product opportunities, prototypes early, and collaborates with diverse teams across Ukraine, Poland, Denmark, and Germany to deliver value.

You will own agile practices, write precise requirements, review quality, and guide AI-enabled development while maintaining a risk-aware, user-focused approach.

Qualifications

• Strong software engineering fundamentals in development and testing disciplines.
• Demonstrated ability to move from problem statement to working prototype quickly.
• Experience writing precise technical requirements and acceptance criteria.
• Hands-on quality assurance: test design, validation, and defect triage.
• Experience working directly with clients or external counterparties.
• Solid grounding in financial instruments - Repos, Derivatives, or related collateral/securities product.

Responsibilities

• Translate business goals and user needs into product opportunities with clear value hypotheses.
• Prototype solutions early and often - directly, to validate ideas before committing to full build
• Define scope collaboratively with stakeholders, keeping scope anchored to user value rather than feature count.
• Track and communicate the impact of what ships; deliver outcome, not just the output.
• Use AI tools fluently as part of everyday routines and evaluate outputs for architectural fit.
• Maintain a prioritized product backlog and collaborate with engineers during implementation.

Skills

Product engineering fundamentals

Prototype quickly

Requirements writing

Quality assurance

AI-assisted development

Stakeholder communication

Job description

WHAT MAKES US, US

Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!

At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.

If you like what we're saying, keep reading!

WHY THIS ROLE IS IMPORTANT TO US

At SimCorp, we build products that power investment management and financial institutions worldwide. We support some of the largest financial institutions in the world to be successful by simplifying their investments, accounting and operations.

Investment Operations is a product area within SimCorp's Product Division, which delivers functionality enabling the operations users to be highly efficient. It also offers full STP and automation capability for the workflows and processes seamlessly across the product areas and the financial institutions workflows.

As part of our Investment Operations Product Area, you will contribute to the development of enterprise products within this product area. You will collaborate with colleagues from Ukraine, Poland, Denmark and Germany, while gaining deep expertise in applied finance and modern software engineering practices.

WHAT YOU WILL BE RESPONSIBLE FOR

Product Value Delivery

• Translate business goals and user needs into product opportunities with clear value hypotheses.
• Prototype solutions early and often - directly, to validate ideas before committing to full build
• Define scope collaboratively with stakeholders, keeping scope anchored to user value rather than feature count.
• Track and communicate the impact of what ships; deliver outcome, not just the output.

Engineering Quality

• Write and review technical requirements and acceptance criteria that leave no ambiguity at implementation time.
• Assess feasibility early and frame build-vs-integrate trade-offs in terms of delivery impact, risk, and value - enabling informed decisions across product and engineering.
• Be the last line of defense on quality: review and test deliverables against requirements, run validation, and hold the bar.
• Identify and highlight technical debt and systemic risks before they become delivery blockers.
• Keep system documentation live and accurate - treated as a product asset, not an afterthought.

AI-Enabled Development

• Use AI tools (Copilot, Claude, and others) fluently as part of your everyday working routines.
• Critically evaluate AI-generated artifacts - verify correctness and architectural fit before accepting.
• Guide your team on responsible AI usage, when to trust it, when to override it, and how to review it carefully
• Identify where AI can accelerate prototyping cycles and reduce low-value work in the team.

Team Agile Practices

• Maintain a healthy, prioritized product backlog - each item sized, scoped, and ready for the team.
• Work closely with software engineers during implementation - unblock, review and course-correct in real time
• Be the connective tissue between stakeholders and the delivery team: clear in both directions.

WHAT WE VALUE

An experienced Product Engineer doesn't wait for a spec to be handed to them - they shape it. They prototype before they present, validate before build, and measure after ship. They push back on scope that doesn't serve users, and they focus on quality that does. They make the team faster by removing ambiguity, not by adding process.

Skills Experience

• Strong software engineering fundamentals in development and testing disciplines.
• Demonstrated ability to move from problem statement to working prototype quickly.
• Experience writing precise technical requirements and acceptance criteria.
• Hands-on quality assurance: test design, validation, and defect triage.
• Experience working directly with clients or external counterparties.
• Solid grounding in financial instruments - Repos, Derivatives, or related collateral/securities product
• Comfortable running demos, gathering requirements from business users, and translating business workflows into system behavior.
• Ability to frame engineering decisions in terms of user and business value.
• Comfort working in ambiguity and structuring problems before solving them.
• Strong stakeholder communication - able to translate freely between technical and non-technical audiences.
• Regular use of AI coding assistants (Copilot, Claude, or equivalent) in a professional context.
• Demonstrated critical evaluation of AI-generated outputs - not just accepting but interrogating them.
• Understanding of AI limitations relevant to software delivery: hallucination, context loss, security blind spots.
• Agile practitioner: fluen