Data Product Manager

Company Description

AUTODOC is a technology company with a leading e-commerce platform for vehicle parts and accessories in Europe. Founded in 2008 in Berlin, we are now 5,000 people from 68 nationalities, collaborating to make mobility easy and sustainable. By placing technology at the core of everything we do, we manage to serve customers in 27 European countries in 23 languages.

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

Job Description

Responsibilities:

Optimizations of business processes

Sets success metrics for epics, issues, and tracks post-launch metrics

Researches and defines category vision and strategy

Ensures product completeness

Evaluates potential and fitting products for acquisition by AUTODOC

Develops the program vision and roadmap

Creates and manages the product backlog

Defines releases and program increments

Identifies the potential risks to the product's success and develops contingency plans to mitigate them

Required Experience:

A strong understanding of data product management principles and methodologies

Domain area expertise: user behavioral data analytics (internal tools for Google Analytics, apps flyer, amplitude, heepio etc.)

Performing extensive domain and market research to determine product vision and strategic roadmap

Building rapport with stakeholders to align around priorities and responsibilities

Helping the company and stakeholders understand and extract value from their data

Defining success metrics: product effectiveness, delivery, process metrics etc.

Defining product artifacts for each product lifecycle stage

Familiar with prioritisation frameworks

Can ensure the solution is viable

Adaptability and flexibility

Strong communication and analytical skills

Ability to identify and solve problems effectively

Understands how to lead products to success

Experience in product management 7+ years

Experience with technological data products

Grade Skills & Skill Level:

Core:

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

Builds Data-Driven Solutions, takes decisions based on Data

Has knowledge of standard product management tools specified by project needs (Amplitude, BI tools, Balsamiq, Google Analytics, etc.)

Conducts market, customer, and competitor research to understand the market landscape and customer needs to develop successful data products.

Gathers customer insights

Defines metrics to track progress, and sets KPIs and OKRs.

Researches and defines product vision and strategy

Drives squad strategy - with no/minimal help

Drives multi-squad/zone strategy - with some help

Collaborates with Architect to understand and define stack, workload, ballpark delivery estimates

Uses AB testing successfully

Nice to have skills:

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

Leadership:

Communicates clearly in meetings

Participates actively in group meetings

Ability to influence and persuade people

Solves potential problems with other squads/functions and avoids unnecessary conflict

Writes and gives big presentations - with the help

Leads effective brainstorming with others

Familiar with Scaled Frameworks

Functional:

Sets timelines, defines milestones and tracks progress

Delivers major products with little-no bugs on time

Follows the implementation and delivery schedule

Creates BRD, PRD, and Specifications

Setts success metrics for epics, issues, and tracking post-launch metrics

Traces a user issue (or set of issues) back to the underlying problem

Ability to analyze product performance data, and identify trends in the market

Story writing and bug/features writing (for example, SMART Tasks Description and so on)

Writes clear workflow emails

Writes specs/stories for big features and small products with little-no errors

Brainstorms constructively with others

Provides the best solution for the product and defends product management point of view

Cross-Functional:

Resolves conflicts and handles difficult conversations with stakeholders from different departments.

Articulates business logic to technical partners

Anticipates implementation challenges with a particular proposal

Collaborates with cross-functional teams, including engineers, designers, sales and so on

Uses survey tools successfully and without bias

Empathizes with customers, stakeholders, and cross-functional teams to understand their needs

Leads in-person or remote interviews without bias

Uses remote usability testing successfully and without bias

What do we offer?

Competitive salary based on your professional experience

Stable employment in the fast growing international company

Wide benefit system

Dynamic work environment

Ability to influence business and its results

Professional growth — you will attend free external and internal courses

Paid business trips and payment for participation in conferences

Paid corporate language classes (English, German, Polish)

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

JR104696

Remote/Remotely/Tele/Telecommute/From home