Top Tech Jobs & Startup Jobs

Own complex, cross-team technology programs from planning through launch. Build roadmaps, manage dependencies and risks, define KPIs, coordinate security and operational requirements, lead governance and readiness reviews, communicate with technical and executive stakeholders, mentor associate TPMs, and use AI tools to automate program management.

Administer and configure CRM platforms, including pipelines, custom objects, permissions, workflows, integrations, and automations. Translate parcel-machine deployment and partner onboarding processes into scalable CRM logic. Maintain data quality through audits, deduplication, validation, and lifecycle management. Build dashboards and reports for international stakeholders, gather cross-market requirements, and create documentation, training materials, and user support processes.

Own the technical roadmap and evolution of InPost’s cloud-based data platform across Azure and Databricks. Drive scalability, reliability, security, operational excellence, FinOps, cost optimization, DevOps/DataOps, CI/CD, and Infrastructure as Code practices. Manage technology vendors, procurement, contracts, SLAs, licensing, budgets, purchase orders, and invoices. Partner with Data, AI, Engineering, Finance, and business stakeholders across multiple markets.

Staff Software Engineer responsible for quality and reliability strategy across backend APIs and native iOS and Android applications. The role includes designing testable architectures, quality gates, release pipelines, device and OS coverage, flakiness controls, cross-team incident resolution, technical leadership, mentoring, quality metrics, and AI governance. The engineer will influence multiple teams, contribute hands-on code and tooling, and promote shift-left quality ownership across the engineering organization.

Lead and develop the engineering team, own the InPost Pay product roadmap, and provide technical direction across architecture, coding standards, security, quality, scalability, and performance. Collaborate with product teams and stakeholders to align priorities and deliver reliably. The role requires strong Java expertise, cloud infrastructure and migration experience, people leadership, delivery management, product ownership, and responsible use of AI tools.

Design, develop, maintain, and deploy Java backend applications and microservices. Build scalable features, improve performance, security, and reliability, troubleshoot issues, participate in code reviews, document systems, and collaborate with cross-functional teams. The role also involves supporting continuous improvement and knowledge sharing in Agile/Scrum environments.

Owns end-to-end recruitment for Tech, Data, and AI roles. Partners with hiring managers on role definition, hiring strategy, market insights, interviews, and final decisions. Sources candidates through LinkedIn and Boolean search, manages candidate experience, builds talent pools, uses recruitment metrics to optimize processes, and supports employer branding initiatives.

Analyze large-scale, real-time data across marketing, product, customer, sales, and logistics domains. Gather stakeholder requirements, develop scalable data models and analytics solutions, process data using Python/PySpark and SQL, and create actionable insights and recommendations. Build and maintain high-quality code, support data-driven decisions, coordinate visualizations, and collaborate with data engineers, data scientists, business analysts, and business stakeholders.

Lead a 10–15-person multidisciplinary AI engineering team and own the Group-wide AI Engineering strategy. Build AI-native products and backend platforms, establish development standards including CI/CD with evaluations and test sets, guide multi-agent and streaming workflows, improve architecture and engineering processes, and partner with product, data, vendors, and technology stakeholders. Responsibilities also include hiring, team development, budgeting, and influencing AI product direction across the organization.

Lead and develop an engineering team while driving greenfield initiatives and large-scale software projects from concept through production. Provide technical leadership in Java, architecture, system design, and modern engineering practices. Partner with Product Managers and stakeholders, manage delivery, communicate risks, support organizational change, and improve development processes. The role requires strong people leadership, cloud-native experience in GCP or AWS, product ownership, AI tool proficiency, and effective communication.