Company info
We help our clients with industry-specific services to create value and manage risks. Our wide-ranging client portfolio enables you to gain real-life experience in industries such as telecommunications, energy, IT, finance or sports, and to work on ground-breaking projects.
What we offer:
- Opportunity to work on cutting-edge projects and technologies.
- Collaborative and supportive work environment.
- Professional growth and development through mentoring and training programs.
- Flexible working schedule with hybrid office presence policy.
- Competitive salary package with fringe benefits and health insurance (Medicover).
What we believe in and do jointly with You:
- Experience with AI solution selling and value-based consulting.
- Understanding of regional regulatory frameworks related to data privacy and AI ethics.
- Hands-on experience with AI tools and platforms (e.g., OpenAI, Hugging Face, MLFlow).
- Multilingual capabilities across CEE languages.
What You would do at KPMG:
- Develop and execute regional go-to-market strategies for AI solutions, tailored to CEE market dynamics.
- Build and maintain strong relationships with enterprise clients, understanding their business challenges and identifying AI opportunities.
- Collaborate with product managers, data scientists, and engineers to translate client needs into actionable AI solutions.
- Lead client workshops, demos, and presentations to showcase AI capabilities and drive adoption.
- Monitor market trends, regulatory developments, and competitive landscape in the CEE region.
- Manage the full sales cycle—from lead generation to contract negotiation and post-implementation support.
- Ensure client satisfaction and long-term value through continuous engagement and performance tracking.
- Provide feedback to internal teams to improve product offerings and customer experience.
- Represent KPMG at regional conferences, industry events, and networking forums.
- Support internal training and enablement initiatives to scale AI knowledge across the organization.
What brings you aboard:
- Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Engineering, or a related field.
- Minimum 5 years of experience in account management, business development, or consulting, preferably in AI or technology services.
- Business level understanding of AI technologies, including generative AI (LLMs), NLP, computer vision, and data analytics.
- Proven track record of managing enterprise accounts and delivering complex solutions.
- Excellent communication and negotiation skills, with fluency in English and at least one CEE regional language (e.g., Polish, Czech, Hungarian, Romanian).
- Ability to work across cultures and navigate regional business environments.
- Familiarity with cloud platforms (Azure, AWS, GCP) and AI deployment frameworks.
- Willingness to travel across the CEE region as needed.Experience with cloud platforms (Azure, GCP, AWS) and ML lifecycle management tools (e.g., MLFlow).
Workplace extras
- Cafe
- Corporate events
- Bicycle storage
- Parking
- Sports facilities
- Free coffee, soft drinks
Apply
Kérjük, pályázatát a jelentkezés gombra kattintva küldje el.
KPMG is seeking a dynamic and strategic AI Sales Manager to lead client engagement and business development efforts across the Central and Eastern Europe (CEE) region. This role focuses on promoting and integrating AI-driven solutions—including generative AI, computer vision, and structured/unstructured data processing—into client operations. You will act as the primary liaison between clients and internal AI teams, ensuring solutions are aligned with business goals and regional market needs.
KPMG is seeking a dynamic and strategic AI Sales Manager to lead client engagement and business development efforts across the Central and Eastern Europe (CEE) region. This role focuses on promoting and integrating AI-driven solutions—including generative AI, computer vision, and structured/unstructured data processing—into client operations. You will act as the primary liaison between clients and internal AI teams, ensuring solutions are aligned with business goals and regional market needs.
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