The MLOps team is a conveyor belt from the research to production. As a part of Machine Learning Research, the team supports research engineers in ML productization. It helps engineers throughout Allegro to deploy ML products in their microservices to fulfill business needs. It is also responsible for ensuring that ML fulfills data governance and other legal requirements. 

We are looking for people who have:

Orientation on products, experience in defining and executing product vision, managing roadmaps and release plans

Ability to resolve and justify priorities from multiple business and technical stakeholders

Demonstrated ability to work across disciplines with product, engineering, research, and operations management counterparts to deliver online products or services

Demonstrated ability to understand and discuss technical concepts, manage trade-offs and evaluate new ideas with internal and external partners

The technical depth and business experience to easily communicate the business benefits and impact of ML services to engineering teams and business executives

Strengths in problem solving, issue-resolution, ability to work in a deadline-driven work environment, high attention to detail

Strong analytical and quantitative skills: ability to use hard data and metrics to back up assumptions, recommendations, translate technical concepts into real business impact and drive actions

Strong verbal and written communication skills with demonstrated experience engaging and influencing cross-functional stakeholders and senior executives

Entrepreneurial spirit - enthusiasm, commitment, and business savvy to navigate the many technical, ethical and organizational roadblocks that can emerge

Requirements engineering skills and agile mindset

Experience in designating KPI and objectives for engineering teams

Courage to pose accurate questions, such as Why? What for?

What we can offer:

A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)

Long term discretionary incentive plan based on Allegro.eu shares

Annual bonus up to 10% / 20% of the annual salary gross (depending on your annual assessment and the company's results)

A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)

English classes that we pay for related to the specific nature of your job

Laptop with m1 processor, 32GB RAM, SSD - a 16” or 14” MacBook Pro or corresponding Dell with Windows (if you don’t like Macs), two monitors and all other gadgets that you should need

Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise

A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things

Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)

What will your main responsibilities include?

Connecting the technical expertise of the data team with expertise of different Allegro business areas such as Product Catalog Services, Customer Experience Services, Personalisation, Performance Marketing, Search and AI-driven Advertising

Ensuring that the ML and overall data solution produces insights that the business can interpret and execute on and engineers can build reliable services using them

Collecting and analysing technical needs and requirements

Defining adequate KPI framework to translate ML metrics to product KPI’s 

Cooperating closely with Product Managers and Tech Leaders across organisation to synchronize work between them and data science teams

Reporting dependencies to the machine learning teams and tech leaders, coordinate dependencies between AI-related projects

Why should you work at Allegro?

Are you interested in Machine Learning (ML) technology? Do you love building new businesses? As an Product Manager, you will be part of the larger product leadership community at Allegro

This community plays a critical role in the broad business planning, working closely with senior executives to develop business targets and influences our long-term technical and business strategy, ultimately enabling us to deliver innovative new AI solutions rapidly

You will be seen as the subject matter expert for your area of focus within Allegro AI implementations

A successful candidate will bring a passion for AI-related technologies, strong business acumen and judgment, ability to define visionary, ground breaking products, desire to have an organisation wide impact and ability to work within a fast moving AI environment in a large company to rapidly deliver AI products that have a broad business impact

Apply to Allegro and see why it is #dobrzetubyć (#goodtobehere)