The Key Account Manager is responsible for developing sustainable commercial growth across assigned customers and channels in Central and Southern Italy.
The Gemini Agent Platform AI Engineer will help accelerate the adoption of Google Cloud, Gemini and agent-based artificial intelligence technologies across Unilever. This is a hands-on engineering role with a strong product engagement dimension.
Responsibilities
Partner with product and engineering teams to understand existing applications, technical requirements and modernisation needs, and identify appropriate opportunities to adopt Google Cloud technologies.
Support the migration and modernisation of applications onto Google Cloud, working with product teams and architects to define target architectures and practical engineering approaches.
Design, develop and deploy artificial intelligence applications and intelligent agent solutions using Google Gemini and Google Cloud technologies.
Take solutions through the complete engineering lifecycle, from experimentation and technical design through development, testing, deployment, monitoring and continuous improvement.
Build reusable components, frameworks and engineering patterns that accelerate future artificial intelligence and Google Cloud implementations.
Utility Technician responsible for operating, inspecting, and monitoring plant Utility systems such as water, compressed air, boilers, chemicals, and Demin water systems, ensuring stable, safe operation that meets production requirements.
Responsibilities
Manage and operate plant Utility systems: water, compressed air, boilers, chemicals, etc.
Inspect and monitor Utility system operation during shifts to ensure stable parameters and meet production standards.
Record data, operation logs, maintenance records, and any anomalies.
Proactively handle operational incidents within scope.
Monitor DO oil consumption for boilers and oil intake plans.
This role exists to turn the promise of AI into everyday business value at Unilever. As the Subject Matter Expert (SME) for AI DevOps within HAP, you will bring hands-on expertise across the development, deployment and operation of AI, Agentic AI and automation solutions – working closely with business teams around the world to understand their challenges, recommend the right technology, build proof of concepts and minimum viable products, and guide successful solutions into production at scale.
Responsibilities
Partner with business teams across markets and functions to spot where AI and automation can simplify processes, lift productivity and speed up decision-making.
Design and deliver scalable AI, Agentic AI and automation solutions that solve real business problems end to end – from idea through to production deployment.
Build proof of concepts and minimum viable products independently, so value is proven quickly with working software rather than slideware.
Translate business requirements into secure, supportable and scalable technical designs that meet enterprise architecture, security and governance standards.
Evaluate competing technology options and recommend the best fit based on business value, technical feasibility, scalability and cost.
Requirements
Degree in Computer Science, Engineering, Information Technology or a related discipline
Provide professional, quality massages in 60 and 90-minute increments, tailor massages to each client, schedule services, launder linens, support marketing, and maintain spa cleanliness.
Responsibilities
Provide professional, quality massages in 60 and 90-minute increments
Tailor massages to each client, including relaxation, deep tissue, sport and / or therapeutic approaches
Schedule massages, manicures and pedicures
Launder massage linens and keep the spa clean
Support marketing The Spa’s services to other local businesses and organizations
Provide high-quality manicures and pedicures, including cleaning and shaping nails, cuticle maintenance and applying polish, while creating a warm, relaxing experience for guests.
The Technical Support Analyst (TSA) provides technical support for BMC products and related mainframe software products and some distributed products. The BMC TSA will be the primary interface between BMC and our customers and will interact with BMC Product Engineering teams to ensure all problems are resolved with the highest levels of customer satisfaction through quick and thorough remediation of customer issues.
Compensation
A reasonable estimate of the current range is zł 140,175 - zł 233,625
Responsibilities
Manage, troubleshoot, and respond to customer issues on BMC product and Integration issues, ensuring appropriate resolution time
Responding to and resolving all customer enquiries (via phone, e-mail, web)
Identifying and reporting functional defects to higher levels of Support and R&D
Maintaining high level of customer satisfaction
Properly documenting all customer interactions and troubleshooting actions into the BMC issue management systems
Design, build, and iterate on core components of a data automation and data management platform across the full stack, taking features from concept through production in a 0–1 product environment.
Compensation
At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 2,841,000 INR.
Responsibilities
Design, build, and iterate on core components of a data automation and data management platform across the full stack, taking features from concept through production in a 0–1 product environment.
Spend most of your time writing high-quality, production-ready code across the stack, including backend development (primarily Java and Python) and frontend development ReactJS.
Work alongside the product architect to contribute to system design discussions, define full-stack architecture, evaluate trade-offs, and evolve the technical direction as the product matures.
Implement platform capabilities such as data orchestration, data lineage, observability, governance, and resilience.
Build and maintain integrations across frontend and backend with cloud platforms (AWS, Azure, GCP) and enterprise systems.