Technical Project Manager

O projekcie: We are looking for a Technical Project Manager who acts as a bridge between high-level business strategy and hands-on engineering execution. This isn't a "spreadsheet-only" PM role. We need a Feature Owner—someone who understands the "how" as much as the "what." Whether you are a former Software Engineer looking to pivot into leadership, or an Engineering Manager who misses the thrill of driving technical delivery without the burden of people management, this role is for you. Wymagania: What You Bring (Requirements) - Software Background: Proven experience working directly within software development environments. You should be comfortable talking about APIs, system architecture, and databases. - "Builder" Mindset: Experience (even "light") as an Engineering Manager, Team Lead, or Senior Developer who has a natural talent for project coordination. - Pragmatism: Ability to balance technical debt with the need for rapid feature delivery. - Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders. - Education: Degree in Computer Science, Engineering, or a related technical field is preferred. Bonus Points - Hands-on experience or a strong theoretical understanding of Machine Learning (ML) workflows. - Experience with Agile/Scrum methodologies in a fast-paced startup or scale-up environment. Codzienne zadania: - Feature Ownership: Take full end-to-end responsibility for specific product features, from initial technical grooming to production release. - Technical Roadmap: Translate business requirements into clear, actionable technical specifications for the development team. - Bridge the Gap: Act as the primary translator between stakeholders and engineers, ensuring technical constraints are understood and business value is delivered. - Delivery Excellence: Manage sprints, mitigate technical risks, and remove blockers to keep the development velocity high. - AI/ML Integration (Nice to Have): Collaborate with Data Scientists and ML Engineers to integrate machine learning models into the core product ecosystem.