Full-Time
AI Business Sales Consultant
Multiple Teams
Posted on 9/10/2025
Fujitsu
10,001+ employees
Global ICT products and services provider
No salary listed
Germany
In Person
 Sales & Account Management (1) |
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- Bachelor's degree in Business Administration, Computer Science, Engineering, or a related field.
- Strong understanding of AI technologies, including machine learning, deep learning, natural language processing, and computer vision, and their application in relevant industries prioritizing data sovereignty.
- Several years of experience in sales, preferably within the AI or technology industry, with a focus on enterprise solutions.
- Proven track record of consistently exceeding sales targets in complex sales cycles.
- Ability to translate complex technical information into clear and concise business language, addressing concerns around data security and compliance.
- Excellent communication, presentation, and interpersonal skills, with the ability to build trust and rapport with clients and partners.
- Strong negotiation and closing skills, particularly in complex, high-value sales situations involving multiple stakeholders.
- Proficiency in CRM software (e.g., Salesforce).
- Ability to work independently and as part of a team.
- Strong analytical and problem-solving skills.
- Deep understanding of data privacy regulations (e.g., GDPR, CCPA) and security best practices relevant to on-premise AI deployments.
- Proven experience in identifying, evaluating, and onboarding strategic technology partners.
- Identify and qualify potential partners (clients) with high growth potential in alignment with Fujitsu's AI strategy, focusing on industries where data sovereignty is paramount (e.g., finance, healthcare, government, manufacturing).
- Develop and execute strategic sales plans to penetrate target markets and achieve revenue goals, emphasizing the benefits of on-premise AI solutions.
- Conduct market research and competitive analysis to identify emerging trends and opportunities within the on-premise enterprise AI space, paying close attention to client concerns regarding data security and regulatory compliance.
- Build and maintain strong relationships with these partners (key clients and stakeholders), addressing their data sovereignty concerns proactively.
- Prepare and deliver compelling presentations and proposals showcasing Fujitsu's on-premise AI capabilities and solutions, highlighting their security features and compliance with relevant regulations.
- Collaborate with internal teams (technical experts, product managers, etc.) and identify and onboard appropriate AI solution partners to develop customized on-premise AI solutions that meet client needs and address their data sovereignty requirements. This includes evaluating partner capabilities, negotiating partnerships, and managing partner relationships.
- Negotiate contracts and close deals, ensuring optimal pricing and terms while emphasizing the value proposition of data control (always with a local sales representative).
- Manage the entire sales cycle from lead generation to contract closure, including partner collaboration and integration.
- Track sales activities and provide accurate sales forecasts.
- Maintain up-to-date knowledge of AI technologies, industry trends, and the competitive landscape within the on-premise enterprise AI market, with a focus on data privacy regulations and security best practices.
- Contribute to the overall growth and success of the Fujitsu AI Incubator Team.
- Master's degree in a relevant field.
- Experience with specific AI platforms or technologies relevant to Fujitsu's on-premise offerings.
- Existing network of contacts within the AI industry, particularly in sectors emphasizing data sovereignty and among potential technology partners.
- Certifications in relevant areas like data security, cloud computing, or partner management.
Fujitsu provides ICT products and services for businesses, including computing hardware, networking equipment, software, and related consulting and managed IT services. It delivers hardware platforms (servers, storage, networking) and software that run on them, along with services to design, implement, and manage digital infrastructure, data centers, and applications. It differentiates itself with a long global track record, end-to-end capabilities, and deep integration of hardware, software, and services across regions, reflecting its telecom-to-IT shift. Its goal is to help customers manage information and communications technology to support digital transformation and business continuity worldwide.
Company Size
10,001+
Company Stage
IPO
Headquarters
Tokyo, Japan
Founded
1935
Simplify's Take
What believers are saying
- Quantum simulator challenge attracts 46 teams from 13 countries, validating market demand for accessible quantum tools.
- Tensor network simulator handles 40+ qubits in shallow circuits, expanding addressable problem classes beyond state vector.
- VQE acceleration technology reduces computation time from 200 days to one day, enabling practical quantum applications.
What critics are saying
- Google or IBM achieve quantum supremacy by 2027, rendering Fujitsu's simulators obsolete before 2030 roadmap.
- Nvidia and AMD commoditize Arm-based AI chips, undercutting MONAKA's competitive positioning in edge markets.
- Persistent earnings misses trigger investor exodus, starving quantum and AI R&D investments through 2026-2027.
What makes Fujitsu unique
- 40-qubit CPU-based quantum simulator with 1,024 FX700 nodes operational since October 2023.
- Proprietary Quantum Application Research Package streamlines quantum algorithm development for industrial applications.
- Hybrid quantum platform integrates 64-qubit superconducting computer with 40-qubit simulator for seamless transitions.
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Benefits
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Hybrid Work Options
Company News
Fujitsu has secured Japanese government support for semiconductor design projects in collaboration with IBM Japan, part of efforts to strengthen domestic chip supply capabilities. The initiative aims to reduce supply chain concentration and reinforce Japan's role in advanced semiconductor technologies. The backing could provide Fujitsu with additional resources and collaboration opportunities for its computing, networking and IT services businesses, which rely on advanced chips. However, the company faces challenges: analysts forecast an average 1.7% annual earnings decline over the next three years. Fujitsu currently trades at ¥3,324, approximately 29% below analysts' ¥4,689 price target and 13.5% below estimated fair value. The stock has declined 6.2% over the past month. The company maintains an 8.8% net income margin.
Fujitsu and The University of Osaka have developed technology to accelerate quantum computing applications in chemical material design during the early fault-tolerant quantum computing era. The breakthrough combines version 3 of the STAR architecture with a novel molecular model optimisation technique, significantly reducing computational resource requirements. The technology enables energy calculations for catalyst molecules within realistic timeframes using early-FTQC quantum computers—calculations currently impossible on existing computers and would take millennia using previous STAR versions. Applications include drug discovery, improving ammonia synthesis efficiency and advancing carbon recycling technologies. Current quantum systems are highly error-prone, with practical applications typically requiring millions of qubits. The partners will continue advancing the technology to expand quantum computing's practical applications across drug discovery, material development and finance sectors.
Fujitsu has announced that its comprehensive traffic simulation system has been adopted for Maebashi City's Regional Public Transportation Plan, published on 23 March 2026. The system, developed under Japan's Ministry of Land, Infrastructure, Transport and Tourism-led COMmmmONS project, is the first in Japan to simulate both fixed-route and demand-responsive transportation. The technology uses Fujitsu's social digital twin capabilities to model human and social behaviour, drawing on statistical data about residents and ridership information from MaaS applications. Maebashi City used the system to provide scientific evidence supporting bus route expansion measures in its public transportation strategy. Fujitsu plans to commercialise the system by fiscal year 2026, positioning it as a standard tool for local governments across Japan addressing transportation challenges and carbon neutrality goals.
Arrcus has announced a collaboration with Fujitsu and 1Finity around FUJITSU-MONAKA, Fujitsu's next-generation Arm-based CPU, to deliver secure, energy-efficient infrastructure for distributed AI workloads. The partnership aims to address challenges in latency, power consumption, data sovereignty and security as AI inference expands beyond centralised data centres to the edge. The architecture integrates FUJITSU-MONAKA-powered compute with Arrcus ArcOS network operating system and 1Finity's optical interconnect technology. It is designed to support use cases including physical AI in smart factories and robotics, enterprise AI workloads requiring localised processing, and service provider-delivered AI services. FUJITSU-MONAKA features built-in confidential computing capabilities and improved power efficiency. The collaboration was showcased at MWC Barcelona, where both companies demonstrated the joint solution.
Broadcom is shipping a new custom AI chip design to Fujitsu that uses advanced stacking technology to improve energy efficiency. The company expects major data centre operators to adopt the design later this year. The 3.5D eXtreme Dimension System in Package stacks two chip components top to top, rather than the top-to-bottom approach pioneered by AMD. This configuration enables greater data transfer with better power efficiency, according to Harish Bharadwaj, vice president of marketing in Broadcom's custom chip unit. The development represents Broadcom's push into the custom AI chip market, targeting data centre operators seeking more energy-efficient solutions for AI workloads.