Product Manager

Stryker Corporation; Deutschland; Vor Ort; Vertraulich; Vollzeit

Zusammenfassung

A growing SaaS company in Germany is seeking a Product Manager to work on their Applied AI Customer Care Agent. In this role, you will drive the development of AI applications, collaborate with stakeholders, and ensure high-quality outcomes. The ideal candidate has 3-5 years of experience in product management, particularly within SaaS or AI, and possesses strong collaboration skills. This position offers an opportunity to shape innovative solutions in the exciting field of Generative AI.

Qualifikationen

• 3-5 years of experience in a product management role in a SaaS or AI environment.
• Strong collaboration skills and experience with engineers and designers.
• Familiarity with AI/ML technologies or LLM applications.

Aufgaben

• Drive the development of agentic AI applications through collaboration.
• Conduct user research and competitor analysis to support product hypotheses.
• Translate validated product ideas into well-defined user stories.
• Partner with engineering and data teams to define success metrics.

Kenntnisse

Product management

Collaboration

Agile methodologies

User research

Data analysis

Jobbeschreibung

Transporeon is a SaaS company founded in 2000 in Ulm, Germany. The company provides logistics solutions across several areas, including:

• Buying & selling of logistics services
• Organizing shipment execution
• Organizing dock, yard, truck, and driver schedules
• Invoice auditing for logistics services

It has grown significantly over the years, reaching €150m in revenue before being acquired by Trimble for $2 billion USD in 2022. Transporeon has one of the largest networks of shippers and carriers in Europe, with approximately 1,400 employees: https://www.transporeon.com/en

As a Product Manager working on our Applied AI Customer Care Agent, you will help drive the development of agentic AI applications by working closely with engineering, design, data science, and business stakeholders. Your core responsibility is to translate product vision into concrete product development: understanding user needs, shaping feature concepts, coordinating delivery, and ensuring high-quality outcomes. You will be responsible for identifying and validating opportunities, refining product requirements, and ensuring successful and timely delivery of features. This role requires a mix of analytical rigor, user empathy, and execution discipline-with a strong drive to learn and grow in the fast-evolving domain of Generative AI. You will also support the roll-out to the wider organisation.

Key Responsibilities & Main Tasks...

• Product Discovery & Opportunity Shaping
• Collaborate with the STO Manager to understand the strategic context, customer problems, and market opportunities.
• Conduct user research, competitor analysis, and data investigation to support product hypotheses.
• Contribute to the ideation and prioritisation of product features that align with customer needs and business goals.
• Translate validated product ideas into well-defined user stories and product requirements.
• Work with engineering and design to scope MVPs, clarify edge cases, and ensure implementation matches intent.
• Ensure clarity of scope and outcomes during delivery cycles; own timelines and cross-functional coordination.
• Partner with engineering and data teams to define success metrics and run A/B or user experiments.
• Analyze qualitative and quantitative data to assess performance and inform decisions.
• Ensure features are aligned with internal compliance, privacy, and regulatory constraints, both general as genAI specific.
• Stay current on trends in Generative AI, agentic frameworks, customer support innovations, and product management best practices.

What do you bring to the table...

• 3-5 years of experience in a product management role in a SaaS, AI, or customer-facing product environment.
• Strong collaboration skills and experience working closely with engineers and designers.
• A growth mindset that drives for continuous improvements and thrives in a rapid changing environment.
• Ability to break down complex technical concepts into simple product narratives and user-centric solutions.
• Experience in agile environments with iterative delivery practices.
• Familiarity with AI/ML technologies or LLM applications (e.g., RAG, fine-tuning, prompt engineering).
• Exposure to observability, performance metrics, or customer service operations.