Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

As a Senior Windows Identity Detection Engineer you will research and detect emerging identity threats by developing behavior-based detection methods. You’ll build tools and PoCs to identify and prevent attacks such as Pass-the-Hash, Silver Ticket, and MFA bypass. Your work will directly strengthen the security of millions of Windows endpoints protected by the platform. In this role, you’ll have a unique opportunity to expand your skillset beyond just Windows security, and to not only contribute, but to significantly influence the buildout of a new side of our business - Identity security - from the ground up!

What will you do?

Primary responsibilities include: 

• You’ll be responsible for detecting the newest identity threats. Your role won’t end with a hypothesis or a document - you’ll have an end to end responsibility for behaviour based detection capabilities, starting from researching attack techniques, designing new methods to detect or prevent those, and implementing it in the product in the end (SW development in C++23 and scripting in Lua).
• You’ll be developing and using internal research tools, PoCs and discovering new ways to detect/prevent identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more). 
• At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints which are protected by our platform.

What experience or knowledge should you bring?

Ideal candidates will have: 

• 3+ years of experience in malware analysis (statically and dynamically)
• 3+ years of experience with C++, an advantage would be knowledge of Lua or similar scripting language 
• Excellent understanding of the Windows Internals  - understanding how core system components (Process and Threads, Virtual Memory and more) work behind the scenes.
• Experienced with analysis tools, such as: IDA, WinDBG, SysInternals etc.
• A big plus - experience with Identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more)
• An advantage would be - kernel development experience and/or understanding of existing AVs internals

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours, this is a 100% remote role based within Italy; we provide optional membership in major coworking chains
• Currently for this role in Italy we are able to consider only candidates that are already eligible to work in the EU at the time of applying
• Optionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EU at the time of applying

• Generous employee stock plan in the form of RSUs (restricted stock units) grant not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• Quadro benefits - Private Medical, Life Insurance, Accident Insurance, Study funds and Healthcare benefits
• Flexible time off (up to 30 paid days off per annum!)
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• Udemy Business platform for Hard/Soft skills Training, internal mentoring 'MentorOne' & Support for your further educational activities/trainings
• Above-standard referral bonus

& Additional country-specific benefits to Italy

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

SUMMARY

As a Senior Solutions Engineer, Italy, you will be responsible for supporting our Strategic customers, reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers' view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

WHAT YOU’LL BRING

• Fluency in Italian and English
• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at strategic customers
• Ability to travel up to 40% - ideally based around Milan area
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

SUMMARY

As a Solutions Engineer, Italy, you will be responsible for supporting our Growth customers, reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers' view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

WHAT YOU’LL BRING

• Fluency in Italian and English
• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at strategic customers
• Ability to travel up to 40% - ideally based around Milan area
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

The Team:

You’ll join the Value Engineering team, a highly technical, strategic, customer-facing group that sits at the intersection of pre-sales, analytics, and transformation consulting. Value Engineers at Celonis are hands-on practitioners. They combine strong technical capability with consulting and stakeholder skills to guide customers through the full value journey — from first demo to long-term adoption and expansion.

The Role:

As an Applied AI Engineer (Pre-Sales) you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

The qualifications you need:

•  3+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, physics, engineering, mathematics or related fields, or equivalent work experience preferred.
• Hybrid working environment - 3 days per week at our central Milan offices.  

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

We are looking for a Sales Engineer to join our team, covering Italy and Spain. In this role, you will get hands-on experience applying the latest big data technologies to business use cases with companies whose names you hear and products you use every day. Our ideal candidate is comfortable learning new technologies and can explain their work to both technical and non-technical stakeholders. 

You will be operating as a Sales Engineer with a background in Data Science. Running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.

How you'll make an impact: 

• Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
• Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment.
• Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
• Use Dataiku to demonstrate the business value articulated in the usage scenarios.
• Design projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
• Plan and execute Proof-Of-Concepts (POC), and evaluations through coordination of resources and co-development of data science projects with our prospective customers. Lead the combined team to carry out the agreed-upon course of action to prove that Dataiku delivers the needed value better than our competitors.
• Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated solution.
• Assist in sales pipeline building activities, including attendance at live and/or virtual trade shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.

What you'll need to be successful: 

• Being based or willing to relocate to Mialn, Italy
• English - fluent; Spanish and Italian - fluent/native
• Strong natural and intellectual curiosity, especially around the application of technology to solve all kinds of problems
• Experience in the data science, analytics, or big data markets is preferred
• 5+ years of experience with predictive modelling and an understanding of relational data structures and SQL
• Programming in Python/R would be a bonus
• Experience working with cloud infrastructures (AWS, GCP, Azure) 
• Experience in Analytics/AI or other enterprise software
• Experience in technical pre-sales or other client-facing roles (consulting, etc.)
• Comfortable talking to all levels of customer teams from individual contributors to C-level executives, and/or a passion for public speaking

We are looking for a Sales Engineer to join our team, covering Italy and Spain. In this role, you will get hands-on experience applying the latest big data technologies to business use cases with companies whose names you hear and products you use every day. Our ideal candidate is comfortable learning new technologies and can explain their work to both technical and non-technical stakeholders. 

You will be operating as a Sales Engineer with a background in Data Science. Running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.

How you'll make an impact: 

• Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
• Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment.
• Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
• Use Dataiku to demonstrate the business value articulated in the usage scenarios.
• Design projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
• Plan and execute Proof-Of-Concepts (POC), and evaluations through coordination of resources and co-development of data science projects with our prospective customers. Lead the combined team to carry out the agreed-upon course of action to prove that Dataiku delivers the needed value better than our competitors.
• Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated solution.
• Assist in sales pipeline building activities, including attendance at live and/or virtual trade shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.

What you'll need to be successful: 

• English - fluent; Spanish and Italian - fluent/native
• Strong natural and intellectual curiosity, especially around the application of technology to solve all kinds of problems
• Experience in the data science, analytics, or big data markets is preferred
• 5+ years of experience with predictive modelling and an understanding of relational data structures and SQL
• Programming in Python/R would be a bonus
• Experience working with cloud infrastructures (AWS, GCP, Azure) 
• Experience in Analytics/AI or other enterprise software
• Experience in technical pre-sales or other client-facing roles (consulting, etc.)
• Comfortable talking to all levels of customer teams from individual contributors to C-level executives, and/or a passion for public speaking

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

About Capco

Capco is a global technology and business consultancy, focused on the financial services sector. We are growing at fast pace in our Italian office, the opportunity for growth is large, accessible, and immediate. We are passionate about helping our clients succeed in an ever-changing industry. Capco is going through a significant growth journey, now is a very good time to join us as we expand our consulting team in Italy.

Role Description:

We are looking for a Generative AI Engineer to join our Data Analytics and AI team. You will be part of the GenAI workforce, responsible for defining strategy for Generative AI internally, and also helping shape and execute clients’ AI transformation agendas. You should have a strong background in machine learning/deep learning/AI and software engineering, and extensive professional experience as either as a consultant or similar advisory corporate role. 

Responsibilities

• Identify critical business problems that could be solved using Generative AI
• Define strategy for Generative AI and how to apply it
• Lead the design and build, and be responsible for engineering innovative GenAI products together with our cross-functional team
• Continually iterate and scale Generative AI products, whilst listening to the needs of the clients. Create technical standards and blueprint for AI scenarios.
• Educate the organization both from IT and the business perspectives on Generative AI.
• Mentor and nurture other engineers to help them grow their skills and expertise

Skills and Experience

Essential skills to succeed

• Experience working with large-scale language models
• Rich understanding of language models and transformers, vector stores and search algorithms
• Large-scale ETL development and engineering experience of high performance, large-scale ML systems
• Strong working knowledge of modern software development methodologies and software design pattern (e.g. end-to-end CI/CD process)
• Ability to communicate technical concepts effectively to client and partner teams.
• Confidence to convey technical advice and guidance to clients.

Bonus points

• Financial services industry experience
• Experience building applications and use appropriate prompting on generative AI models.
• You are a contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more.
• Cloud fundamental or architecture accreditations

Why join Capco?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

We offer:

• A work culture focused on innovation and building lasting value for our clients and employees
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
• A diverse, inclusive, meritocratic culture

Location: Piazza Gae Aulenti 1, Milano (Garibaldi FS - Garibaldi M2 M5) 

#LI-Hybrid

#LI-AD1