Company Description

AUTODOC is the largest and fastest growing auto parts ecommerce 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 input from stakeholders, 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

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 a 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 produc