Top Tech Jobs & Startup Jobs in Poland

Sell Akuity's GitOps platform across EMEA by generating net-new and expansion pipeline, running outbound campaigns, qualifying opportunities using MEDDPICC, mapping technical needs to business outcomes, partnering with Customer Success and engineering, and managing pipeline in HubSpot.

Senior/Staff Product Designer on Growth focused on onboarding, first-time editor experiences, activation and retention. Rethink complex AI-native user journeys, translate ambiguous problems into prototypes and experiments, partner with PMs and engineers to move metrics, and mentor designers while elevating AI-generated prototypes into scalable experiences.

Lead technical sales for German-market customers: perform deep discovery, design architectures, deliver tailored demos, run end-to-end proof-of-concepts, and win complex enterprise deals while building technical champions across engineering and marketing stakeholders.

The role involves owning revenue growth and pipeline generation for Commercial Technology within Life Sciences & Healthcare, focusing on new customer acquisition and strategic accounts.

Design and implement cloud-based solutions, coordinate implementations, analyze needs, resolve technical issues, and maintain documentation.

As a Marketing Science Analyst, you'll analyze consumer behavior, develop statistical models, and collaborate with teams to derive insights for better decision-making and business performance.

The Principal Marketing Manager for CE and MEA leads regional marketing strategy, manages integrated campaigns, and partners with sales teams to drive revenue growth.

Lead and manage the Database Services team across Architecture, Engineering and DB Ops. Oversee 24x7 operations, weekend maintenance, HA Always On clusters, automation using Terraform/Ansible, DWH and NoSQL support (Snowflake, MongoDB), performance tuning, backup/recovery, change and incident management, staffing and shift scheduling, and adherence to ITIL/Agile processes.

Design, build, and operate a scalable, secure deployment platform across on-prem and multi-cloud environments using Kubernetes. Support LLMs, graph and vector databases, and GPU-based ML workflows. Implement CI/CD, containerization, automation, monitoring, and documentation while collaborating on early-stage product development and custom deployment models.

Build and maintain low-latency APIs, distributed microservices, and reliable data pipelines (including audit logs and BI exports). Improve observability, reduce operational toil, and deliver end-to-end features with product and engineering teams.