Lead a cross-functional engineering team to build a data processing platform featuring OCR and AI-based extraction. The role involves owning technical direction, managing the roadmap, and balancing hands-on architecture with stakeholder communication.
Role Overview
We're looking for a Tech Lead to drive a cross-functional engineering team (up to 6–7 people) building a data processing platform with OCR and AI-based extraction. You'll own technical direction, keep delivery on track, translate between stakeholders and engineers, and stay hands-on enough to dive into the architecture and unblock the team when it matters.
This is a leadership role with real technical depth; you track technical delivery, guard quality, and make sure the team is building the right thing in the right way.
What You'll Do
- Drive the team's technical direction and keep day-to-day progress aligned with project goals.
- Work directly with stakeholders to clarify requirements, set and defend priorities, and communicate trade-offs and status clearly.
- Own the roadmap-to-execution translation: break down initiatives, sequence work, and keep the backlog focused.
- Oversee team execution, review priorities, monitor progress, and course-correct early when things drift.
- Deep-dive into technical processes when needed: code, architecture, pipeline behavior, and incident root cause.
- Make and document architectural decisions across the platform and the data processing services.
- Coach engineers, raise the technical bar, and ensure delivery quality without becoming a bottleneck.
- Drive effective use of AI coding assistants (e.g. Claude Code) across the team to accelerate delivery without sacrificing quality.
Required Experience & Skills
- 7+ years of software engineering experience, with proven time leading a team or owning technical delivery.
- Strong architectural judgment, able to design and reason about distributed systems and drive projects end to end.
- Strong hands-on experience with Node.js (TypeScript) or Python.
- Python experience.
- Hands-on cloud experience: AWS ECS with Fargate, SQS, SNS, and Terraform (IaC).
- Hands-on experience developing with AI coding assistants (e.g., Claude Code).
- Clear, structured communication and the ability to keep both stakeholders and engineers aligned.
- English: B2 / Advanced (confident written and spoken communication with stakeholders).
Nice to Have
- Experience with document-processing or AI-extraction pipelines at scale.
- Experience with Python microservices for data processing (OCR and AI/ML-based extraction).
- Experience designing and operating event-driven / message-based pipelines.
- Experience in the legal or finance domain.
- Candidate based in Warsaw
What Success Looks Like
In the first months, you'll have a clear grip on the architecture, the team's priorities are visible and well-sequenced, stakeholders trust the status they're getting, and delivery is predictable, with you stepping into the technical detail whenever the team needs it.