Technical marketing manager állás, munka

• Define and prioritize product features and roadmap aligned with business goals
• Own the product backlog and ensure clarity and feasibility as well as maintaining of user stories , epics and features
• Collaborate with SCRUM/Nexus teams to drive agile development cycles

Translate complex business challenges into scalable data and AI products, guiding them from ideation to implementation. Use cases span pricing intelligence, sales rep activity planning and shop assortment optimization....

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• You build and adapt large language, reasoning, and multimodal models for automation across engineering, manufacturing, and robotics.
• In addition, you create data flywheels and scalable data pipelines, define and curate high-quality fine-tuning datasets, and design efficient annotation workflows.

• You assess and understand the scope and use case of complex software applications.
• You analyze software requirements and interface documentation, then design the appropriate architecture.
• You implement and integrate software for distributed systems.

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

• Leading engineering projects incl. team lead for vehicle power net testing & vehicle diagnostic
• Plan, execute, document, publish & present status & results to internal & external customers
• Use tools like CANalyzer, CANoe, and data loggers to collect and analyze system data

• Lead technical discovery sessions to deeply understand and map complex merchant requirements.
• Design and present tailored payment solutions, clearly mapping Mollie's APIs and products to specific business needs.

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• Design, build and maintain backend services with Kotlin and PHP (Symfony)
• Work on a high-traffic platform, optimizing for performance, stability and scale
• Ship fast, favoring MVPs and rapid iteration based on customer feedback
• Help improve our architecture and backend practices continuously

System Architecture Specifications: Create and maintain architecture specifications, interface definitions, and integration plans as the foundation for hardware, firmware, and software development teams....

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

• Design security concepts to address identified risks
• Specify and implement these concepts, including developing proof-of-concepts (PoCs) on the target platforms
• Provide expert guidance to internal development teams and external suppliers on integrating security features

• In your role as Project Manager, you will lead the business transformation in our Sales and Service organizations
• In these SAP and Salesforce rollout projects you ensure the seamless integration of our new global digital process platform across departments

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency

• Design, Prototype and experiment, turning new ideas into tangible MVPs and proofs of concept through refining them with feedback from consultants and clients.
• Lead the development of AI products tailored to real business challenges — from concept to scalable implementation.