Technical Product Owner - AI Platform (AWS & MLOps)

About Nexttech

Founded in 2015, Nexttech has built a solid foundation in delivering comprehensive IT solutions tailored to meet diverse client needs. With expertise spanning five key industry sectors—Banking, Energy, Telecom, Automotive and E-commerce & Logistics—we provide nearshore and onshore services designed to drive efficiency and support strategic growth.

Our team supports every phase of the Software Development Life Cycle (SDLC), from developing detailed roadmaps and resolving complex software challenges to ensuring quick time-to-market and optimized ROI.

Our Core Services:

•    Managed Services: End-to-end support for seamless IT operations.

•    Custom Software Development: Tailored solutions to address specific business challenges.

•    Team Augmentation: Enhance your in-house capabilities with specialized expertise.

•    Nearshoring Services: Collaborative solutions that offer the benefits of proximity and cultural alignment.

•    Dedicated Development Teams: Aligned teams committed to your project’s long-term success.

•    Quality Assurance & Testing: Ensuring high-quality performance and reliability.

•    Consulting and Advisory Services: Expert insights to help navigate complex projects and decisions.

At Nexttech, we take pride in our commitment to client success, fostering trusted partnerships, and delivering solutions that align with each client’s unique goals and vision

Job Description

We are looking for a Technical Product Owner to lead the evolution and delivery of modern AI platform capabilities built on cloud-native technologies and MLOps best practices.

This is not a traditional product ownership role focused solely on requirements management. We are searching for a technically strong Product Owner who understands cloud architecture, AI infrastructure, and platform engineering, and who enjoys working closely with engineering teams to turn complex business needs into scalable technical solutions.

The ideal candidate can effectively bridge business objectives and technical execution while driving the development of AI platforms that support machine learning, generative AI, and large-scale cloud workloads in a secure, reliable, and operationally efficient manner.

Main tech & concepts:

#AWS #CloudArchitecture #AIPlatform #MLOps #Terraform #InfrastructureAsCode #SageMaker #Docker #Kubernetes #CI/CD #DevOps #LLM #RAG #VectorDatabases #MachineLearning #CloudNative #EKS #ECS #Lambda #APIManagement #Agile #ProductOwnership

Key Responsibilities

• Own and prioritize the product backlog for AI platform, cloud infrastructure, and MLOps initiatives.
• Translate business requirements into technical specifications, epics, user stories, and platform capabilities.
• Collaborate closely with engineering, DevOps, data, and AI teams to deliver scalable and reliable AI solutions.
• Drive the definition and evolution of cloud architecture, deployment strategies, security standards, and operational best practices.
• Support the design and implementation of AI platform capabilities enabling model training, deployment, monitoring, and lifecycle management.
• Establish and continuously improve MLOps processes, automation pipelines, and platform governance.
• Define platform roadmaps aligned with business objectives, technical constraints, and long-term scalability requirements.
• Coordinate stakeholders across business and technical domains to ensure successful project execution and delivery.
• Facilitate prioritization decisions, manage dependencies, and remove delivery blockers.
• Monitor platform performance, adoption, operational efficiency, and continuous improvement opportunities.
• Collaborate with architects and engineering teams to ensure platform solutions remain scalable, secure, and maintainable.
• Promote best practices across cloud engineering, AI operations, infrastructure automation, and product development processes.

What Will Drive Your Success?

• At least 5+ years of experience as a Product Owner, Technical Product Manager, Solutions Architect, or similar technical leadership role.
• Strong hands-on understanding of AWS services, including IAM, VPC, ECS/EKS, Lambda, S3, API Gateway, CloudWatch, and SageMaker.
• Experience designing and delivering cloud infrastructure supporting AI and machine learning workloads.
• Strong knowledge of MLOps principles, CI/CD pipelines, containerization, Kubernetes, and machine learning lifecycle management.
• Hands-on experience with Infrastructure as Code approaches, particularly Terraform.
• Good understanding of modern AI architectures, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and AI inference workloads.
• Ability to translate complex technical concepts into clear business value and priorities.
• Experience working in Agile/Scrum environments and managing technical product backlogs.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Experience balancing short-term delivery objectives with long-term platform strategy and scalability.

Nice to Have

• AWS certifications.
• Experience with MLflow, Kubeflow, Airflow, or similar MLOps and orchestration platforms.
• Experience working with Azure or Google Cloud Platform (GCP).
• Exposure to AI platform engineering, data platforms, or enterprise AI initiatives.
• German language skills.

What We Value Most

• We are looking for a Product Owner who thinks like a platform builder:
• Someone who understands the technical foundations behind the product, not only the requirements.
• Pragmatic decision-making that balances business priorities and engineering realities.
• Strong ownership and accountability for outcomes.
• The ability to align multiple stakeholders around a shared platform vision.
• Curiosity and adaptability in rapidly evolving AI and cloud ecosystems.
• A focus on delivering scalable, maintainable, and business-impacting solutions.
• The ability to create clarity in complex technical environments while empowering engineering teams to succeed.

Our Culture: What Sets Us Apart

At Nexttech, we don’t rely on polished platitudes; instead, we let our team members’ voices speak to the essence of who we are:

•    “An organization that always listens to feedback from employees, continuously improving based on input and suggestions.”

•    “A culture that encourages work-life balance and independence at work.”

•    “A place where genuine communication and respect thrive between all levels of the company.”

•    “An organization that’s close to people, where kindness and support are constants.”

•    “A culture that makes new members feel welcomed, involved in day-to-day decisions, and valued for their unique skill set from day one.”

•    “A team that promotes psychological safety and the confidence to speak your mind without fear.”

Join Us and Bring Your Full Self to Work

We promise an environment where respect, openness, and recognition are at the core of your experience. Here, you’ll find a collaborative and responsible team that values fun, autonomy, and flexibility. You’ll face challenges that allow you to grow, supported every step of the way by peers and leadership alike.

What We Look for in You:

If you possess strong expertise, a collaborative spirit, a responsible and diligent mindset, resilience, flexibility, open-mindedness, courage, and an innate desire to support your teammates, you’ll fit right in at Nexttech.

Come be part of a place where your effort is valued, your ideas are heard, and your growth is our priority.