Rohlik Group

Recruitment

• Lead full-cycle hiring for Developers, Data, Product, AI & Engineering roles and other technical functions — from intake briefing to Day 1
• Sourcing is a normal part of your day — the right talent doesn’t just show up
• Be a true recruitment partner to IT/Tech leadership — you’ll have a real voice at the table with the CTO, Engineering & Product Leads
• Ensure every candidate leaves with a great experience — even those we don’t hire
• Build and maintain your own talent pipelines — no sitting and waiting
• Bring ideas — and we’ll make them happen (TA campaigns, content, videos, events…)
• Work with a great ATS (Ashby) and digital tools including AI — making your job faster and smarter
• Use data to understand what slows hiring down — and fix it
• Train hiring managers how to run great interviews (and they’ll actually want your input)
• Collaborate with a TA team across 5 countries → sometimes chaotic, always worth it
• Contribute to Employer Branding — social media, events, videos, internal campaigns…
• And most importantly: every hire you make impacts a real product used daily by thousands of people

Senior IT/Tech Recruiter

Financial Planning and Analysis

• Support decision-making at the highest level — from Group CFO to Executive Board and investors.
• Your work will directly shape the financial future of a fast-scaling business.
• Partner with Group FP&A Manager & CFO to drive forecasting, budgeting, Business Reviews (WBR/MBR/QBR) and long-term planning
• Consolidate management accounts and ensure alignment with IFRS standards
• Build regular dashboards, financial models, and running P&L geared toward insights
• Prepare investor materials and Board presentations — ensuring data is accurate and clear
• Challenge and support country finance teams, ensuring their plans are realistic and aligned with strategy
• Create scenarios and business cases for strategic decisions and new initiatives
• Communicate insights confidently to senior leadership — with clear, actionable takeaways
• Manage the FP&A timetable and ensure timely submissions from all markets
• Identify opportunities to automate, simplify and improve FP&A processes

Senior Analyst, Finance Planning & Analysis

Operations

• Owns process analysis & optimization, identifying inefficiencies in fulfillment center and last-mile delivery processes
• Develops and documents detailed process designs, ensuring alignment with operational needs
• Utilizes Lean, Six Sigma, and structured methodologies to optimize workflows
• Defines and tracks process KPIs, measuring improvement impact
• Translates business requirements into detailed process specifications for software development teams
• Partners with Product Owners and developers to implement process-driven solutions
• Validates proposed solutions with operations, engineering, and local teams before rollout
• Supports business case development (benefits, budgets, timelines)
• Documents SOPs and ensures readiness for process rollouts across multiple locations
• Provides input to continuous improvement roadmaps and strategic operations initiatives
• Acts as a bridge between operations and product development, ensuring effective communication and change management

Process Manager – Operations

Product Designer

• Define and execute a multi-market design & research strategy across customer-facing products and internal systems.
• Build and scale DesignOps and ResearchOps (processes, tools, panels, experiment cadence) to accelerate learning and impact.
• Hire, develop, and mentor Product Designers & UX Researchers; foster a culture of feedback, collaboration, and continuous growth.
• Ensure customer insights and usability testing are deeply embedded into product development.
• Partner cross-functionally with Product, Engineering, Analytics, and Operations to shape product strategy and define success metrics (CES, conversion, retention, task success).
• Act as a cross-functional leader — removing roadblocks, resolving conflicts, and ensuring timely delivery of key initiatives.
• Represent design & research both internally and externally, championing learning, outcomes, and craft excellence.

Head of Product Design

Customer Success Manager

• Execute campaigns and initiatives that maximize customer engagement, retention, and value.
• Manage day-to-day CRM activities including campaign setup, testing, and optimization across multiple channels.
• Work closely with the CRM Manager focusing on automation, personalization, and continuous performance improvement.
• Analyze campaign performance and prepare reports to inform business decisions.
• Collaborate with various teams to ensure aligned communication.

CRM Specialist

Director

• Establish and enforce unified food safety & quality standards across Germany, Czech Republic, Austria, Hungary, and Romania that exceed local regulatory requirements and set new industry benchmarks
• Lead the end-to-end quality assurance process, from supplier selection and production oversight to the final delivery to customers
• Drive the adoption of system improvements and automation to ensure consistent quality control across all points in the supply chain
• Implement risk-based quality management systems that proactively address potential food safety, quality, and governance issues before they escalate while establishing crisis & risk management protocols
• Establish and oversee a centralized/overarching QMS system to ensure consistency and compliance across all operational areas
• Analyse data and feedback from multiple sources to develop actionable insights for continuous quality enhancement
• Build industry relationships (regulators, industry bodies, and suppliers)to enhance food safety and quality standards
• Collaborate with procurement, supply chain, and operations teams to integrate quality assurance seamlessly into all processes
• Develop targeted training programs to embed high-quality standards and best practices across teams

Director of Food Safety – Quality

Customer Support

• Ensure customer satisfaction remains a top priority by developing and executing a cohesive customer service strategy that standardises practices across Germany, Czech Republic, Austria, Hungary, and Romania, while planning for future market expansion
• Lead the modernisation of customer service operations through the thoughtful implementation of innovative technology and automation solutions, enhancing productivity without compromising the quality of the customer experience
• Analyse customer feedback, service data, and market trends to identify opportunities for continuous improvement, streamlining processes for higher productivity and more effective service delivery
• Create and oversee comprehensive training programs that empower teams to deliver exceptional, customer-focused service while effectively using productivity tools and technology
• Foster a culture of proactive problem-solving and customer-centric thinking, leading change management initiatives that support operational excellence and adaptability
• Manage cross-functional collaboration with product, technology, and marketing teams to ensure customer service strategies align with company-wide goals, driving efficiency and impactful results
• Oversee performance metrics and productivity targets, implementing data-driven approaches to optimise response times and reduce operational costs while enhancing the overall customer journey

Director of Customer Service

Chief Marketing Officer

• Team leadership – Lead, coach, and develop country marketing managers in DE, AT, HU, and RO. Provide direction, set standards, and ensure local execution is aligned with group priorities.
• Market execution (CZ) – Play a hands-on role in the Czech market, while coordinating with support staff for execution.
• Campaign strategy & execution – Not just adapt campaigns, but also propose, design, and organize initiatives that meet business goals and reflect retail seasonality.
• Content ownership – Take full responsibility for all content in your markets. Every campaign adaptation, post, and translation must meet brand and business objectives.
• Cross-functional collaboration – Work closely with central teams (e.g. Head of Social, Brand, Performance) to bring ideas and execute campaigns that directly support business priorities.
• Project management – Run campaigns like projects: structured planning, clear timelines, ownership of deliverables, and reporting of results.
• Scalable ideas – Identify and roll out initiatives that can be replicated across multiple markets, not just isolated campaigns.
• AI & innovation – Explore how AI can streamline work, improve content quality, and drive better marketing outcomes.
• Retail mindset – Understand customer behavior in retail and connect brand, category, and business priorities with creative execution.

Group Head of Marketing

Frontend Engineer

• Own features end-to-end on the frontend — from idea to live deployment.
• Turn complex problems into simple and intuitive UI/UX flows.
• Collaborate with Product Owners and Designers on specs, and challenge them when needed.
• Build tools used by hundreds of internal users across multiple countries.
• Understand the business context and explore alternative solutions — not just execute tickets.
• Collaboration: Work closely with backend engineers to integrate APIs efficiently.
• Apply solid principles of architecture, state management, and reusable components.

Senior Frontend Developer

Business Intelligence Developer

• The design and development of complex, scalable BI solutions and dashboards (e.g., Tableau, Metabase) that act as a single source of truth for key business areas.
• The mentorship of analysts, promoting best practices in analytics, automation, and cutting-edge technologies.
• The evaluation, prototyping, and implementation of AI/LLM solutions to enhance analytics and decision-making.
• The strategic partnership with senior business leaders — turning ambiguous problems into structured, data-driven solutions.
• The end-to-end analysis of data workflows to uncover and drive opportunities for automation and process improvement.
• Partner with Data Engineering and Data Science teams to influence the evolution of data pipelines and models for analytical excellence.
• Support Marketing/CRM with advanced analytics, including campaign performance, predictive segmentation, and web analytics.
• Major cross-functional projects, providing expert analytical and automation guidance.

Senior BI Analyst

IT Support

• Be the go-to problem-solver for the trickiest IT issues.
• Own resolution of complex technical problems and escalated incidents.
• Mentor junior colleagues and improve IT processes.
• Support site-level operations and rollout of new IT tools and standards.
• Take technical ownership of selected domains or tools.
• Maintain high-quality documentation and training materials.
• Manage incidents in warehouse systems and devices (printers, scanners, PDAs).
• Configure and optimize MDM tools and warehouse networks (Aruba, Wi-Fi, VPNs).
• Drive efficiency by improving and simplifying processes.
• Troubleshoot advanced issues with Okta, SaaS, and collaboration tools.
• Support onboarding automations and identity management processes.
• Manage MDM solutions (Intune, SimpleMDM, Zebra) and ensure endpoint security.

IT Support Specialist

AI Engineer

• As an AI Engineer focused on Generative Systems & Automation, you will have end-to-end ownership of the AI services that power our business. Your responsibilities will span the full lifecycle, from system architecture to operational excellence.
• Architect Advanced Generative AI Systems: Design and deploy autonomous AI agents that can reason, plan, and execute complex business processes by interacting with internal APIs and toolsets using function calling and MCP servers.
• Leverage both open-source and proprietary Large Language Models (LLMs) to create specialized agentic systems that are optimized for our unique domain challenges in terms of performance, cost, and accuracy.
• Architect, build, and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, employing advanced techniques like query transformation, hybrid search, and re-ranking to ground our LLMs in proprietary business data (e.g., product catalogs, customer interactions, supply chain data).
• Master End-to-End Productionization (LLMOps): Implement comprehensive observability and monitoring for our AI systems, tracking not only performance metrics (latency, throughput) but also qualitative behaviors like model drift, hallucinations, and response quality using platforms like Langfuse or Datadog.
• Own the full LLMOps lifecycle for our generative AI services, including building robust CI/CD pipelines for automated testing and deployment using tools like Docker and Kubernetes.
• Establish and manage rigorous evaluation frameworks using both automated metrics and LLM-as-a-judge methodologies to ensure our systems meet the highest standards of quality and reliability.
• Proactively manage and optimize the cost-efficiency of our AI systems by implementing strategies such as intelligent model routing, response caching, and prompt optimization.

Engineering Manager

• Lead, manage, and mentor a team of AI Engineers, fostering their technical and professional growth through coaching, feedback, and career development planning.
• Cultivate a culture of innovation, collaboration, and engineering excellence within the team.
• Partner with talent acquisition to attract, hire, and retain top-tier AI engineering talent.
• Champion best practices for software development, code quality, and system design.
• Take ultimate responsibility for the successful delivery of complex AI projects and services that span multiple business tribes, ensuring alignment and seamless integration.
• Collaborate with product managers, business stakeholders, and other engineering leaders to define project roadmaps and translate business requirements into a clear technical vision.
• Effectively communicate technical strategies, project status, and results to both technical and non-technical stakeholders, including executive leadership.
• Architect Advanced Generative AI Systems: Lead the design and personally contribute to the development of autonomous AI agents that can reason, plan, and execute complex business processes by interacting with internal APIs and toolsets.
• Drive LLM Strategy: Guide the selection and application of both open-source and proprietary Large Language Models (LLMs) to create specialized agentic systems that are optimized for performance, cost, and accuracy.
• Master End-to-End Productionization (LLMOps): Implement and oversee comprehensive observability and monitoring for all team-owned AI systems using platforms like Langfuse or Datadog.
• Optimize for Quality & Cost: Establish rigorous evaluation frameworks and proactively manage the cost-efficiency of our AI systems by implementing strategies such as intelligent model routing, caching, and prompt optimization.

AI Engineering Manager

Growth Marketing

• Develop and continuously refine the Czech retail-media growth roadmap, aligning with group-level objectives and local market insights.
• Translate customer data, category trends, and competitive intelligence into customer- and industry-specific go-to-market plays.
• Build and deepen C-suite relationships with top advertisers and agency holding groups; lead annual joint-business planning that widens partnership scope beyond one-off campaigns.
• Negotiate strategic agreements that encompass multi-channel solutions (onsite, offsite, data, in-store activations).
• Architect high-impact media packages that deliver measurable brand outcomes.
• Oversee pipeline health, forecast accuracy, and revenue pacing; initiate corrective actions to stay on target.
• Channel advertiser feedback and market signals to product, analytics, and tech teams to steer the roadmap for new ad formats and measurement capabilities.
• Represent Rohlik at industry conferences and panels, positioning our Retail-media proposition as a category benchmark.

Strategic Media Growth Manager

Machine Learning Engineer

• You will be a technical leader and systems builder, tasked with solving our most complex challenges in production-grade ML.
• You will not only have the autonomy to architect and own the most critical ML services that redefine efficiency, but you will also mentor other engineers and elevate the technical standards for the entire team.
• The establishment and adoption of MLOps best practices across the team, elevating the quality and reliability of our engineering work.
• The mentorship of other engineers through exemplary code reviews, design discussions, and technical guidance.
• The end-to-end lifecycle of the most complex ML services that drive our core business functions, from system architecture to operational excellence.
• The design, build, and fine-tuning of foundational predictive engines, including models for forecasting, planning, and process optimization.
• Support the automation of decisions and minimization of manual intervention in core business processes through the use of AI and machine learning.
• Support the continuous enhancement of our business capabilities by proactively exploring, prototyping, and advocating for new ML/AI trends and technologies.
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