Tools Product Manager (m/f/d)

As a Product Manager, you will join our Product Management team and will play a pivotal role in driving the success of our computer vision algorithms, AI models and technical innovation (including next generation technologies such as foundation models and agentic solutions, generative AI, and deep survival learning).

You will be responsible for defining the strategy and roadmap with a focus on Computational Pathology (CP) Automation and Data Management & Data Science Tools. You will be focused on the tools stack across the computational pathology workflow (imaging and ML development domain), working with users and internal software engineering and operations teams to ensure an innovative, scalable, and integrated portfolio of imaging software products for our stakeholders. Working out of the Munich DE office, you will work closely with cross-functional stakeholders in our Computational Pathology group and engaging directly with our colleagues regarding the oncology portfolio, working directly with the engineers and stakeholders to ensure the successful development and release of our tools and technical innovation that meet business objectives.

What you’ll do

Your responsibilities will include:

• Oversee the successful productization of existing prototype tools and act as the primary point of contact for Computational Pathology (CP) Automation and Data Management & Data Science Tools queries, discussions and decisions.

• Engage with users and stakeholders to identify opportunities for enhancing imaging workflows and to assess gaps in the existing infrastructure, paving the way for effective solutions.

• Own software stacks ranging from image processing and visualization, data analysis, pipeline automation and data management.

• Work across functions to define ML process and landscape (e.g. training patches, models, metrics, segmentation and classification results) to contribute to the wider drug development programs.

• Develop and own the tools product roadmap to ensure value delivery and communicate progress to computational pathology leadership team.

• Establish and maintain communication channels with users to understand needs and collect feedback.

• Collaborate with multiple cross-functional stakeholder groups with varying expectations to define and prioritize requirements to ensure alignment with business objectives.

• Support the engineering team to optimize user value and building of product strategies for our AI solutions through understanding and documenting end-to-end user workflows and journeys.

• Represent the team as a product manager in product increment planning within a scaled agile framework.

• Establish a holistic view of workflow processes and be the transistor between different functional groups to ensure consistent communication and alignment.

• Create and present engaging presentations for senior management and various audiences in collaboration with relevant stakeholders to communicate updates and future plans to stakeholders regularly

Education, Qualifications, Skills, and Experience

Essential for the role:

• Master’s degree in engineering, computer science, bioinformatics or natural sciences

• Proven experience in product management or a related role within the imaging or data management domain

• 3+ years experience in the bioimaging background with knowledge of major types of digital pathology imaging (brightfield, immunofluorescence, multiplex whole slide imaging)

• Good understanding of technology infrastructure for large-scale image and data analysis computing

• Ability to work in a global, highly matrixed environment

• Desire to be curious and challenge standard practices

• Experience in facilitating meetings and decision-making, while ensuring alignment with stakeholders and consensus building

• Excellent organizational, teamwork and stakeholder communication and management skills

• Ability to work independently on multiple tasks in a fast-paced environment, including priority setting and time management

• Experience in agile development methodologies, especially Scrum and/or Kanban

• Strong working knowledge of Confluence, Jira, etc.

Desirable for the role:

• Knowledge in cancer biology / oncology

• Knowledge of drug development (processes)

• Product development experience

• Knowledge of business analytics 

• Knowledge in deep learning-based image analysis

• Understanding of development tools like docker, gitlab, orchestration systems (e.g. Kubeflow), programming language (preferably Python)

• Understanding of image annotation tools or workflows

• Familiarity with image analysis methodology for detection, segmentation, and classification

• Knowledge of CDx development processes

• Experience with GxP or related regulatory processes

Benefits

• Individual development opportunities and a focus on lifelong learning.

• A diverse, inclusive and unbiased work environment.

• Trust, appreciation and space for co-creation.

• Wellbeing and Mobility Benefits.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.