Company Description

AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe.

Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands.

Curious minds, adventurous experts, and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Job Description

Responsibilities

Product Vision and Strategy:

• Research, define, and communicate a clear product vision aligned with the company's overall strategy.
• Develop and maintain a strategic roadmap for the assigned data product(s).
• Conduct market research, stakeholder & competitive analysis, and customer feedback analysis to inform product strategy. Identify opportunities for product innovation.
• Use survey tools and interviews effectively and without bias.
• Optimizes business processes
• Ensures product completeness

Stakeholder Communication:

• Communicate clearly and actively participate in meetings
• Engage with internal and external stakeholders to gather requirements, provide updates, and ensure alignment with business objectives.
• Act as the primary point of contact for all matters related to the assigned data product(s).
• Negotiate with stakeholders from different areas in troubleshooting cases that disrupt product development activities.
• Articulate business logic to technical manager and anticipate implementation challenges.

Product Requirements:

• Develop the solution vision and roadmap
• Define milestones, releases, and solution increments
• Define and prioritize high-level product requirements based on stakeholder input, market research, and strategic goals. Create product documentation such as Business Requirement Documents (BRD), Product Requirement Documents (PRD), and specifications.
• Collaborate with the engineering manager and dev teams to translate requirements into actionable scenarios, user stories, and features.

Product Development and Delivery:

• Set timelines, define milestones, and track progress for product development.
• Create and manage product(s) backlog.
• Lead the product development process from ideation to release, ensuring timely and high-quality delivery.
• Work closely with development teams to ensure that product features are developed according to specifications and meet user needs.
• Lead effective brainstorming sessions and resolve conflicts constructively.

Metrics and Evaluation:

• Define key performance indicators (KPIs) to measure product effectiveness and business value.
• Regularly monitor and analyze product metrics to assess performance, identify areas for improvement, and optimize product features.
• Set success metrics for epics, issues, and tracks post-launch metrics
• Analyze product performance data and compare with market trends if possible.
• Identify potential risks to the product's success and develop contingency plans to mitigate them
• Trace user issues back to underlying problems and provide solutions

Requirements:

Product Evangelism:

• Act as an advocate for the product, both internally and externally, by promoting its value proposition and benefits.
• Represent the product at customer/company meetings when needed.

Required Education and Experience:

• Bachelor's or Master's degree in Computer Science, Engineering, Business Administration, or a related field.
• Proven experience as a product manager, preferably in the IT/software industry 7+ years.
• Experience with technological data products.

Expertise and Understanding:

• Strong understanding of data product management principles, data analytics, and software development processes.
• Domain area expertise in establishing data warehouse, including performing extensive domain and market research to determine product vision and strategic roadmap.
• Familiarity with data visualization tools and techniques.
• Experience with cloud platforms and technologies (e.g., AWS, Azure, Google Cloud).
• Knowledge of machine learning and AI technologies and their applications in data products.
• Skills in data engineering to build data products
• Skills in data analysis and data science to understand how those products will be used
• Skills in data platform development, coding pipelines, managing data quality monitoring

Skills and Abilities:

• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
• Ability to prioritize and manage multiple tasks in a fast-paced environment.
• Leadership qualities and the ability to influence and motivate others towards a common goal.
• Familiarity with different roadmap prioritization frameworks and ensuring solution viability.
• Adaptability and flexibility in approach.
• Ability to identify and solve problems effectively, leading products to success

What do we offer?

• Competitive salaries based on your professional experience
• Fast growing international company with stable employment
• Annual vacation and 1 additional day off on your birthday
• Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes - Flexible working hours and hybrid work

Join us today and let’s create a success story together!