Data Product Manager

Odesa-remote

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!

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Amplitude AWS Azure Data analysis Data Analytics Data quality Data visualization E-commerce Engineering GCP Google Cloud KPIs Machine Learning Market research OKR Pipelines Research Testing

Perks/benefits: Career development Competitive pay Conferences

Region: Remote/Anywhere
Job stats:  10  3  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.