Engineering Manager, ML Data

Title: Engineering Manager, ML Data Location: Kaunas, Lithuania

Information about the position 

At Vinted, machine learning powers key member experiences across our marketplace, and having a reliable data foundation is essential to its success. The ML Data team delivers a robust data foundation across features, datasets, and embeddings, ensuring machine learning work across Vinted is never bottlenecked by data. As the team’s Engineering Manager, you’ll grow, inspire, and lead the team to achieve ambitious goals with efficiency and reliability. You’ll keep the team’s vision and strategy up to date, and effectively scale the vision, team, and operations as the company evolves.

In this position, you’ll 

Be accountable for:

• Team results: delivery management and engineering quality
• Ways of working: ensuring the team is focused on the right things, in the right ways
• People: building and enabling a great team that works in true harmony

In practice, it means:

• Closely collaborating with the ML Model Engineering Manager, ML/AI Staff Engineer and Product teams to align and execute the ML Data vision and strategy
• Defining initiatives and a roadmap focused on strategic goals and ensuring their successful delivery
• Developing Service Level Objectives and a support model that reflect the platform's growing importance, ensuring reliability and quick resolution of issues
• Communicating progress effectively and managing stakeholder expectations with transparency
• Identifying and addressing impediments to team efficiency to improve collaboration, delivery speed, and impact
• Building and nurturing a team culture of trust, accountability, and results
• Supporting the professional and personal development of team members to ensure high performance
• Ensuring the team has the right skills and capabilities to succeed

About you 

• A confident, self-driven, and decisive problem-solver who gets things done, and done well
• Proven experience leading engineering teams in an Agile environment, with a track record of successful results
• Skilled at managing stakeholders, scope, and priorities, and delivering in motivating, incremental steps
• Focused on enhancing team efficiency and building high-performing, self-organized teams, while supporting people through challenges
• Experienced in setting growth goals and supporting team members' development
• Understanding of machine learning systems and data platforms (such as feature stores, data pipelines, or ML infrastructure)
• Proficient in communicating with both technical and management levels in English

Work perks 

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Access to all the tools & tech needed for work
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Private health insurance
• Pension plan with flexible contribution options and a matching contribution from Vinted
• Confidential Employee Assistance Program (EAP) for you and your family
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• A dog-friendly office
• In Vilnius office: gym & in-house meals at friendly prices
• In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast

Working at Vinted 

Workation policy

Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.

Individual learning budget

Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.

Hybrid work

Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.

Equal opportunity

We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match!