About US

PST.AG is a premier provider of bespoke data and software solutions on a global scale. We collaborate with legal authorities worldwide to develop and distribute customs and global trade data, aiding a variety of industries. Our mission is to empower businesses to adapt and excel in a dynamic global landscape.

We're a growing medium-sized enterprise with a global team, embracing a near-complete remote work culture. PST.AG was founded in the center of Germany, now our diverse team spans over 20 nations across four continents, and we're poised for further growth.

Committed to open-source technology, we actively contribute to and support the open-source community, believing it fosters innovation and collaboration. 

The Role

We are seeking an experienced Project Manager to lead cross-functional initiatives with a primary focus on compliance data and company register data projects.

JOB LINK: https://careers.pst.ag/jobs/it-project-manager-company-data-124

Key Responsibilities

Project Leadership

1. Plan, execute, and deliver a complex software development project from inception to release, using Agile or hybrid methodologies.
2. Define scope, timelines, budgets, and resource plans, ensuring alignment with business priorities and regulatory constraints.
3. Coordinate engineering, design, QA, data, and compliance teams, maintaining clear communication and structured governance.
4. Identify and manage risks, dependencies, and blockers, escalating effectively when required.
5. Establish delivery metrics (velocity, throughput, quality KPIs) and drive continuous improvement.

Product Ownership

1. Own the product vision and roadmap, ensuring it aligns with customer needs, business strategy, and compliance requirements.
2. Translate business requirements into clear user stories, acceptance criteria, and backlog priorities.
3. Work with Sales team to gather market research, competitor analysis, and stakeholder information to refine product direction.
4. Define and monitor product KPIs, using data to guide iteration and feature prioritisation.
5. Champion usability, reliability, and long-term maintainability of the system.

AI & Automation

1. Identify opportunities to integrate AI/ML into workflows, decisioning, analytics, or customer experience.
2. Collaborate with data scientists and engineers to scope AI features, evaluate feasibility, and ensure responsible use of models.
3. Understand model performance, data quality, and ethical considerations, contributing to governance and risk assessments.
4. Stay current with emerging AI capabilities relevant to FinTech, such as fraud detection, credit scoring, document automation, or conversational interfaces.

Stakeholder & Compliance Management

1. Engage with internal and external stakeholders, including clients, partners, and regulatory/compliance teams.
2. Ensure the product meets relevant financial regulations, security standards, and audit requirements e.g. GDRP.
3. Prepare clear documentation, including project plans, product specifications, release notes, and compliance artefacts.