Top Tech Jobs & Startup Jobs

Participate in Veeva’s Consultant Development Program, configuring cloud software, testing features, solving customer problems, managing deliverables, and advising Life Sciences customers. Associates receive intensive onboarding, work directly with customers within three months, and can advance to Consultant in under two years. The role is remote in Poland but requires residence within 60 minutes of Krakow, Warsaw, or Wroclaw and travel up to 20–30% of the time.

Participate in Veeva’s Consultant Development Program, configuring cloud software, testing features, solving customer problems, managing deliverables, and advising Life Sciences customers. The role includes intensive onboarding, direct customer collaboration, and progression to Consultant in under two years. Candidates should be recent bachelor’s or master’s graduates with strong communication, analytical ability, curiosity, initiative, and willingness to travel up to 20–30%.

Manage and mentor country data product managers across Europe, drive product quality and productivity, collaborate with product, data operations, and analytics teams, develop market-specific roadmaps, and execute roadmap initiatives. The role requires strategic leadership alongside detailed understanding of data curation workflows and data quality metrics.

Manage and mentor country data product managers across Europe, driving product excellence, data quality, productivity, and roadmap execution for Veeva OpenData. Collaborate with product, data operations, analysts, and European data leadership to improve data factory workflows and develop market-specific product roadmaps. The role requires substantial experience in data, technology, or technical services, team management, analytical problem-solving, and cross-functional execution. Life sciences data product experience and additional European or regional languages are preferred.

Develop and execute talent attraction and candidate pipeline strategies for Veeva’s Services division across Poland. Partner with hiring managers and global stakeholders, support experience and university hiring, improve recruitment speed and operational excellence, and strengthen Veeva’s employer brand. The role requires proactive communication, strategic thinking, ownership, and adaptability, with responsibility for delivering high-quality hires in a fast-paced global technology environment.

Manage and mentor European country data product managers, drive product quality and productivity, partner with data and product teams, develop market roadmaps, and execute roadmap initiatives. The role requires strong data and technical services experience, team leadership, analytical depth, operational attention to detail, strategic thinking, and cross-functional communication. Life sciences data product experience and additional European or Arabic languages are preferred.

Build and ship AI features, including RAG pipelines, agentic workflows, and LLM applications on AWS. Develop asynchronous Python backend services and React/TypeScript frontend features, while owning testing, CI, deployment, and observability. Work across backend, frontend, cloud, and applied AI in a remote team, integrating with Veeva Vault and CRM APIs.

Lead DevOps for a new AI-driven life sciences platform: design cloud architecture, implement IaC and CI/CD, manage infrastructure (Ansible, Terraform, Kubernetes/OpenShift), improve reliability, and mentor a growing engineering team to deliver production customers within the first year.

Lead full-feature ownership for an AI-driven life sciences SaaS platform: design, develop, deploy, support, and maintain production-quality Python services. Collaborate with product, drive architecture and scalability, define engineering best practices, perform code reviews, and mentor engineers to grow the codebase and team.

Lead development of an AI-first enterprise SaaS platform: own feature implementation from design to production, collaborate on technical design, mentor engineers, perform expert code reviews, define engineering best practices, and support production systems using AI-assisted engineering tools.