Technical Product Manager

Employer Overview

A technology company founded in 2012 that provides IT consulting services and custom software development through a team of experienced IT professionals. The company delivers innovative digital solutions, including web and application development, enterprise systems, and managed hosting services for clients globally.

Its advanced AI-powered platform includes a modern face recognition system built using artificial intelligence and machine learning technologies. The architecture is designed using distributed microservices to ensure high scalability, redundancy, and real-time monitoring capabilities.

Job Summary

This role combines Technical Product Management with Hands-on Software Architecture leadership.

You will act as the bridge between business vision and technical execution, owning system architecture decisions while ensuring timely and high-quality delivery of complex, AI-driven, cloud-native products.

You will lead technical planning, architecture design, sprint execution, and delivery for scalable systems built on .NET, Python, AI (Computer Vision & LLMs), and modern microservice architectures, deployed using Docker Swarm and Kubernetes.

Key Responsibilities

Product & Sprint Leadership

• Partner with Product Managers to translate product vision into executable technical roadmaps.
• Own sprint planning, backlog grooming, and technical task breakdown across teams.
• Ensure sprint goals are realistic, technically sound, and aligned with delivery timelines.
• Balance feature delivery, technical debt, scalability, and long-term architecture health.

Software Architecture & System Design

• Design and govern microservice-based architectures using:
• .NET (Web APIs, WPF desktop apps)
• Python (AI pipelines, CV & LLM services)
• gRPC, REST APIs
• RabbitMQ & MQTT for event-driven systems
• Apply DDD (Domain-Driven Design) principles for scalable and maintainable systems.
• Define service boundaries, data ownership, communication patterns, and fault tolerance strategies.
• Ensure systems are designed for scalability, observability, resilience, and performance .

Cloud, Containers & Orchestration

• Lead architecture decisions for Docker Swarm and Kubernetes (K8s) environments.
• Define deployment strategies, service orchestration, scaling policies, and CI/CD integration.
• Collaborate with DevOps to ensure secure, stable, and cost-efficient environments.
• Troubleshoot production issues related to containers, networking, messaging, and orchestration.

AI, Computer Vision & LLM Enablement

• Guide integration of AI Computer Vision models and LLM-based services into production systems.
• Oversee AI service architecture, inference pipelines, data flow, and performance optimization.
• Collaborate with AI engineers to ensure models are production-ready and scalable.
• Stay current with AI trends and recommend practical, business-aligned innovations.

Frontend & Client Applications

• Oversee architecture and integration of:
• Flutter mobile applications
• React & Angular web frontends
• WPF desktop applications
• Ensure clean API contracts, performance optimization, and smooth frontend-backend integration.

Technical Delivery & Quality

• Own end-to-end technical delivery from design to production.
• Define technical acceptance criteria and ensure compliance before release.
• Work closely with QA to enforce quality, performance, and security standards.
• Proactively identify risks, bottlenecks, and architectural weaknesses.

Technical Proposals & Client Engagement

• Lead creation of technical proposals , architecture diagrams, and solution designs.
• Support sales and business teams with technical input during presales.
• Present solutions confidently to clients in clear, professional English .
• Deliver demos and technical walkthroughs for complex AI and software platforms.

Stakeholder Communication & Leadership

• Act as the primary technical voice to non-technical stakeholders.
• Communicate complex technical concepts in simple, business-friendly language.
• Provide regular updates on delivery progress, architecture decisions, and risks.
• Mentor senior engineers and tech leads on architecture and best practices.

Continuous Improvement & Engineering Excellence

• Drive improvements in development processes, tooling, and architecture standards.
• Promote clean code, SOLID principles, observability, and reliability engineering.
• Encourage innovation, experimentation, and continuous learning across teams.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Strong experience designing scalable distributed systems.
• Strong stakeholder management
• Cross-team coordination
• Ability to balance business priorities with technical excellence
• NET (ASP.NET Core, Web APIs, WPF)
• Python (AI services, data pipelines)
• Microservices Architecture & Domain Driven Design (DDD)
• Docker Swarm & Kubernetes (K8s)
• gRPC and REST APIs
• RabbitMQ & MQTT
• AI Computer Vision and LLM integration
• Flutter, React, Angular
• Excellent English speaking and presentation skills.
• Ability to design scalable distributed systems.
• Ability to troubleshoot complex issues across application and infrastructure layers.
• Ability to ensure high availability and scalable system performance.
• Ability to coordinate with technical teams and business stakeholders.