InPost Group

Customer Success Manager

• You'll be the engine behind InPost's CRM ecosystem — configuring, automating, and continuously improving the platforms that power our APM deployment and international expansion
• Partnering closely with commercial, expansion, and operations teams across the UK, France, Italy, and Iberia, you'll turn complex operational workflows into reliable, scalable CRM processes
• Administer and configure InPost's CRM platforms (HubSpot, Pipedrive, Microsoft Dynamics 365 or equivalent) — pipelines, custom objects, user roles, and permissions
• Design and maintain automations and integrations using Zapier, Make.com, and where needed Google Cloud Platform — connecting CRM with internal systems, marketing tools, and operational platforms
• Translate APM deployment workflows (site sourcing, lead-to-deployment pipelines, partner onboarding) into structured CRM logic
• Own data quality across markets: audits, deduplication, field validation, and lifecycle management
• Build dashboards and reports tracking pipeline activity, deployment progress, and operational KPIs for international stakeholders
• Gather requirements from teams across markets and translate them into scalable CRM configuration and process design
• Maintain documentation, playbooks, and training materials; support onboarding and day-to-day CRM queries

CRM Specialist, MS Dynamics

Backend Engineer

• Design and implement high-performance microservices in Java / Spring Boot
• Build and maintain event-driven integrations using Apache Kafka
• Own the data layer: schema design, query optimisation, migrations (PostgreSQL)
• Work within a containerised cloud-native environment: Docker, Kubernetes, GCP
• Hold the bar on code quality through reviews, testing standards, and CI/CD discipline
• Mentor team members and advocate for a culture of quality and continuous improvement
• Take full ownership of features end-to-end - from requirements to production and beyond
• Write clear technical documentation: System Design docs, RFCs, and ADRs
• Participate actively in architecture discussions with well-reasoned proposals

Senior Java Engineer

• Administer and configure InPost's CRM platforms (HubSpot, Pipedrive, Microsoft Dynamics 365 or equivalent) — pipelines, custom objects, user roles, and permissions
• Design and maintain automations and integrations using Zapier, Make.com, and where needed Google Cloud Platform — connecting CRM with internal systems, marketing tools, and operational platforms
• Translate APM deployment workflows (site sourcing, lead-to-deployment pipelines, partner onboarding) into structured CRM logic
• Own data quality across markets: audits, deduplication, field validation, and lifecycle management
• Build dashboards and reports tracking pipeline activity, deployment progress, and operational KPIs for international stakeholders
• Gather requirements from teams across markets and translate them into scalable CRM configuration and process design
• Maintain documentation, playbooks, and training materials; support onboarding and day-to-day CRM queries

CRM Specialist

Technical Program Manager

• Drive complex, multi‑domain technology programs across teams and platforms
• Connect multiple initiatives into a single coherent program with clear goals, metrics, and delivery sequencing
• Shape program management practices and delivery standards at an organizational level
• Support strategic decision‑making through structured analysis of risks, trade‑offs, and business cases
• Identify opportunities for efficiency, cost optimization, and revenue impact
• Enable faster and more predictable delivery at scale
• Orchestrate cross‑functional work across engineering, product, and business stakeholders
• Facilitate architectural decisions and proactively manage integration risks
• Collaborate with external vendors and partners
• Build mechanisms for delivery predictability, monitoring, and reporting
• Introduce automation and leverage AI to enhance program management processes

Senior Technical Program Manager

Engineering Manager

• Build and lead a newly formed engineering team
• Own the full lifecycle of platform from scoping and roadmap definition through architecture and delivery
• Establish strong working relationships with business stakeholders across all European markets
• Provide technical leadership and set engineering standards for the Dynamics environment
• Communicate progress, risks, and roadmap updates to a broad set of business stakeholders
• Continuously improve delivery processes, team rituals, and ways of working as the team scales

Engineering Manager – MS Dynamics

Recruitment

• Managing end-to-end recruitment processes in the Tech domain
• Partnering with hiring managers from role definition to final hiring decisions
• Providing market insights on talent availability, timelines and compensation
• Proactively sourcing candidates using LinkedIn, Boolean search and other tools
• Conducting interviews and assessing both competencies and cultural fit
• Managing the recruitment process and candidate experience end-to-end
• Using recruitment data and metrics to optimize processes
• Building talent pools and long-term candidate relationships
• Supporting employer branding initiatives and representing the company externally

Talent Acquisition Business Partner – Tech

Data Scientist

• Partner with our Product and Business Teams to understand their needs, translate them into data science solutions, and provide actionable insights.
• Develop and implement data science solutions (ML models, GenAI products, hybrid approaches, data analytics) to optimize marketing and products strategies, enhance user experience and shape targeting.
• Collaborate closely with cross-functional teams (e.g. other Data&AI teams, Technology teams) to ensure seamless integration of data-driven initiatives.
• Stay ahead of the curve exploring cutting-edge methods and being on top of new trends in Data Science & AI.
• Communicate insights and recommendations to the management and business teams, and other data community members.

Senior Data Scientist – Personalisation

Product Manager

• Shape the product vision and long-term strategy for Merchant Services, owning the full product lifecycle from ideation and discovery through delivery, optimisation, and end-of-life decisions.
• Create and own a strategic product roadmap for cross-functional development teams, defining success metrics and holding yourself and the team accountable for measurable outcomes.
• Lead teams to deliver business impact by launching and iteratively optimising products that improve user experience and generate scalable gains.
• Partner deeply with stakeholders to understand their businesses and co-develop solutions that drive growth, improve marketing efficiency, and increase automation.
• Build and lead a cross-functional team of engineers and internal partners to envision, build, and deliver products alongside your engineering counterpart.
• Establish collaborative, trusting relationships with peers and manage senior stakeholders with support from your manager.
• Leverage data to understand risks, impacts, scope, and priorities of business objectives, enabling the team to drive results and informed decision-making.
• Apply AI tools and workflows to accelerate product discovery, documentation, prioritisation, and delivery processes, whilst identifying opportunities to integrate AI capabilities into product features to enhance merchant and user experiences.

Senior Product Manager

• Run end-to-end forecasting analyses on real business problems
• Build and evaluate time series and machine learning forecasting models
• Write clean, well-structured code and take part in code reviews
• Take ownership of your tasks: estimate your work, communicate progress, and flag issues early to deliver on time
• Support the full lifecycle of our forecasting products
• Keep learning - deepening your technical foundations and forecasting expertise

Junior Data Scientist

Call Center Representative

• Wspieranie rozwój efektywności operacyjnej w obszarze Customer Care.
• Wzmacnianie jakości doświadczeń klienta (CX).
• Projektowanie innowacyjnych rozwiązań usprawniających procesy i automatyzujące obsługę.
• Projektowanie i wdrażanie kompleksowych rozwiązań Contact Center.
• Rozwój obsługi klienta w modelu omnichannel, również z perspektywy rynków międzynarodowych.

Contact Center Solution Designer

People Operations

• Wsparcie administracyjne i procesowe: Przygotowywanie i aktualizacja dokumentacji P&C (szablony, prezentacje, raporty, zestawienia) na potrzeby PBP Director OPS i PBP Managera.
• Wsparcie analityki HR: Gromadzenie i wstępna analiza danych HR (absencje, rotacja, zatrudnienie, wyniki badań) dla obszaru OPS
• Wsparcie procesów P&C: Wsparcie w organizacji i realizacji kluczowych procesów P&C: onboardingu, ocen pracowniczych, Badania Zaangażowania, procesów talentowych i sukcesji.
• Obsługa zapytań pracowników: Przyjmowanie i wstępna obsługa zapytań pracowników i menedżerów obszaru OPS w tematach P&C.
• Wsparcie projektów P&C: Aktywny udział w projektach P&C realizowanych dla obszaru OPS jako członek zespołu projektowego.
• Współpraca z zespołami P&C CoE: Koordynacja i śledzenie działań realizowanych przez Centra Ekspertyzy (L&D, C&B, Rekrutacja) na rzecz obszaru OPS.

Junior People Business Partner – Logistics Operations

Data Engineer

• Design, build, and maintain scalable data lake solutions and processing pipelines handling large volumes of structured and semi-structured data.
• Build and operate real-time data streaming pipelines using Apache Kafka and its ecosystem (Kafka Streams, Kafka Connect).
• Architect and maintain ETL and ELT pipelines with a focus on data quality, idempotency, and observability.
• Develop distributed data processing applications using Apache Spark (PySpark, Scala), running on Databricks.
• Design and manage both SQL and NoSQL databases used in our data products.
• Build data solutions on cloud infrastructure (GCP, Azure, or AWS), leveraging managed services.
• Apply software engineering best practices to data pipelines: version control, automated testing, peer code review, and CI/CD using tools such as GitLab or Jenkins.
• Own the operational health of the data infrastructure and ETL processes you build.
• Integrate data from internal and external sources via REST and SOAP APIs.
• Actively contribute to InPost's data engineering community — through code reviews, internal documentation, tech talks, and mentoring.

Data Analyst

• Closely support stakeholders in making data-driven decisions
• Work with different InPost departments and business lines
• Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendations about business critical areas and processes
• Design, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment
• Maintain and advocate for these standards through code reviews
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions
• Prototype and coordinate data visualizations