• Managing a small product team of 3-5 engineers (backend and frontend). • 30% of the time spent doing management work. Outside of that actively participates in product development in their team. • Being involved in hiring processes for their own team and potentially help out their peers. • In addition to being involved in hiring, also being responsible for the onboarding process of new engineers. • By being the spokesperson for everyone in their team they are expected to manage the team dynamics and bring out the best in them. • Giving continuous and constructive feedback on all the things. • Helping the team to grow continuously as a group and is responsible for each direct report’s career. • Providing guidance and coaching to the team. • Redesign how engineering work ships with autonomous agents as the default execution layer. • Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster. • Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains. • Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

• Managing a small product team of 3-5 engineers (backend and frontend). • 30% of the time spent doing management work. Outside of that actively participates in product development in their team. • Being involved in hiring processes for their own team and potentially help out their peers. • In addition to being involved in hiring, also being responsible for the onboarding process of new engineers. • By being the spokesperson for everyone in their team they are expected to manage the team dynamics and bring out the best in them. • Giving continuous and constructive feedback on all the things. • Helping the team to grow continuously as a group and is responsible for each direct report’s career. • Providing guidance and coaching to the team. • Redesign how engineering work ships with autonomous agents as the default execution layer. • Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster. • Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains. • Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

• Own mobile features end-to-end: understand the problem, build the solution, ship it, and make sure it works for real users on real devices. • Build and maintain Flutter apps for iOS and Android, keeping a single codebase clean and performant. • Work with shared API endpoints alongside the web frontend team, understanding how backend changes affect the apps. • Improve and maintain the white-label app infrastructure so onboarding new sellers is smooth and reliable. • Keep the CI/CD pipeline (Codemagic) healthy and the release process to both app stores fully automated. • Collaborate with designers, product managers, and backend engineers to figure out what to build and why. • Integrate AI-powered capabilities into the mobile experience where they create real value.

• Develop and architect the cloud-native Stream Governance platform - a multi-tenant, highly available, and scalable service for Kafka and real-time data. • Own and lead the end-to-end design and implementation of complex backend services within a cloud-native, microservices-based environment. • Drive projects from requirements and design through implementation, rollout, and ongoing operation in production. • Make architecture and technical decisions that thoughtfully balance reliability, scalability, performance, and operability. • Solve complicated technical projects with high quality, provide specialized technical guidance to the team, and mentor/support other engineers through code reviews and design reviews. • Evaluate and enhance the efficiency of our platform's technology stack, ensuring we keep pace with industry trends and adopt state-of-the-art solutions. • Take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running across 100+ AWS, GCP, and Azure regions. • Partner across engineering and with other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform. • Contribute to a culture of continuous improvement, inclusive collaboration, and high technical standards.