Jobs at InPost

Lead and scale a ~24-25 engineer payments and checkout organization across three teams. Develop engineering managers and tech leads, set technical and delivery standards, drive architecture and cloud strategies, remove bottlenecks, implement AI-enabled engineering practices, define domain KPIs/OKRs/SLAs, and represent engineering in cross-functional initiatives to ensure reliable, measurable delivery at scale.

Own end-to-end product for Merchant Services: define vision and roadmap, prioritise and measure product metrics, lead cross-functional teams, integrate AI capabilities, and drive measurable business impact through iterative delivery.

Design, build and maintain ETL/ELT processes and data layers in Databricks/Delta Lake on Azure. Ensure data quality, automate pipelines, optimize performance, provide ready-to-use data for analysts and stakeholders, document processes in Confluence, and validate AI-generated outputs.

Own end-to-end executive hiring for the Group, partnering with C-suite and country MDs. Lead SLT-level searches, design sourcing and assessment strategies, manage preferred supplier list, advise on compensation benchmarking and succession planning, use AI-assisted sourcing tools, and support onboarding of senior leaders.

Own the roadmap, backlog and governance for Atlassian collaboration platforms; lead the Jira Cloud migration; gather and prioritise stakeholder requirements; set standards for cross-team tools; represent the platform roadmap across markets and functions.

Lead end-to-end product development by translating customer and market needs into product vision and backlog. Coordinate with IT providers and stakeholders, define functional and non-functional requirements, prioritize backlog, perform market and competitor analysis, and deliver measurable business value.

Lead mobile quality strategy for native iOS (Swift/SwiftUI) and Android (Kotlin), own test strategy, device/OS coverage and flakiness control, integrate backend/API contract testing, define quality gates in release pipelines, mentor engineers, run QA/Dev knowledge sharing, and design AI-assisted testing governance and workflows.

Own buyer-side funnel for InPosts ecommerce marketplace: drive acquisition, activation, conversion and retention through high-velocity experimentation, funnel analysis, roadmap bets and cross-functional collaboration with engineering, design, data, marketing and commercial teams.

Partner with product and business teams to design, develop and deploy ML and GenAI personalization solutions. Build end-to-end data products: data analysis, model development, integration, monitoring, and communicate insights to stakeholders.

Design, develop and maintain UiPath automations combined with AI/LLM integrations. Build scalable, testable components, integrate with SAP/ERP/CRM, SQL and web apps, implement robust error handling, document solutions, and contribute to CoE standards.

Lead a team maintaining and supporting Microsoft Dynamics 365 across markets: manage configuration, data quality, incident/change processes, SLAs, hypercare, vendor relations, dashboards, and cross-functional stakeholder collaboration during multi-country rollouts.

Lead product analytics for InPost Pay: own end-to-end data product delivery, design data architecture and pipelines, enforce data governance and quality, conduct complex analyses, coordinate BI visualisations, mentor analysts, and champion agile delivery and continuous improvement.

Design and build a cloud-native platform on GCP. Create reusable infrastructure, guardrails, and self-service provisioning. Define cloud governance (IAM, org policies, policy-as-code), author Terraform modules, manage production Kubernetes (networking, security, tenancy), ensure compliance (SOC2/PCI-DSS), apply GitOps, implement observability, and write design docs while representing platform strategy across teams.

Manage and configure InPost's CRM systems across multiple markets, design automations and integrations, translate deployment workflows into CRM logic, ensure data quality, build dashboards and reports, gather cross-market requirements, and maintain documentation and training materials to support APM deployment and operations.

Lead and scale multidisciplinary AI engineering teams to define AI strategy and deliver AI-native products. Build backend platforms and agent-based LLM solutions, establish evaluation, observability, AI-focused CI/CD, tooling, and orchestration, and partner with product and business stakeholders to drive delivery and innovation.

Own the vision, roadmap and delivery of AI products: translate business problems into product requirements, define KPIs and business cases, drive discovery-to-deployment, validate outcomes, promote adoption, and scale reusable AI solutions across markets while ensuring compliance and governance.

Build and maintain SailPoint IAM functionality and connectors; design custom integrations (REST, SCIM, LDAP, SOAP); automate provisioning/deprovisioning with PowerShell/Python/Java/Groovy; implement approval and certification workflows; troubleshoot logs; write tests, manage code in Git; document connectors and processes; gather requirements from business stakeholders and work in Agile with Jira.

Lead product vision and roadmap for an AI shopping assistant, prioritize ML use cases, design validation experiments, own evaluation metrics and feedback loops, define consumer go-to-market, and drive cross-functional delivery with engineering and business teams.

Own Merchant Services product end-to-end: define vision and roadmap, lead cross-functional teams to deliver and iterate features, use data and AI tools to drive measurable outcomes, improve merchant experience, increase automation, and partner with stakeholders to scale business impact.

Support stakeholders by analyzing large-scale, real-time data across marketing, logistics, sales and customer domains. Gather requirements, design data models and ETL/ELT processes, produce actionable insights and visualizations, write maintainable PySpark/Python and SQL code, collaborate with Data Engineers/Scientists, and prototype dashboards.