Maciej „Mac” G.

Als Senior Account Executive bei Rocket Software treibe ich den Vertrieb von Unternehmenssoftware in DACH und CEE voran und unterstütze Global 1000 Kunden wie Banken bei der Modernisierung von Mainframe- und Hybrid-Cloud-Umgebungen. Mein Fokus liegt auf innovativen Lösungen wie DataEdge und LegaSuite, um Datenmanagement und DevOps-Workflows zu optimieren.
Hauptverantwortlichkeiten: ◦ Leitung strategischer Vertriebskampagnen zur Erreichung von Jahreszielen, Akquise und Abschluss von Deals mit Führungskräften und IT-Leitern. ◦ Beratung als vertrauensvoller Partner, um Rocket-Lösungen an Kundenziele anzupassen. ◦ Zusammenarbeit mit Pre-Sales, technischen Teams und Partnern wie IBM und Fujitsu. Mit über 25 Jahren Erfahrung im Softwarevertrieb, speziell IBM i und z Systems, bin ich begeistert, Rocket’s Mission zur digitalen Transformation voranzutreiben. Lassen Sie uns vernetzen, um Ihr Unternehmen zu stärken! As a Senior Account Executive at Rocket Software, I drive enterprise software sales across DACH and CEE, empowering Global 1000 clients like top banks to modernize mainframe and hybrid cloud environments. My role centers on delivering innovative solutions, including DataEdge and LegaSuite, to optimize data management, application modernization, and DevOps workflows. Key Responsibilities: • Lead strategic sales campaigns to achieve annual revenue targets, prospecting and closing deals with C-level executives and IT leaders. • Act as a trusted advisor, aligning Rocket’s solutions with clients’ business goals to maximize ROI and operational efficiency. With 25+ years of experience in enterprise software sales, specializing in IBM i and z Systems, I’m passionate about helping organizations unlock the full potential of their IT investments. Excited to contribute to Rocket Software’s mission of accelerating digital transformation for the world’s leading enterprises. Let’s connect to explore how Rocket’s solutions can transform your business!

Selling testing line of DevOps products: Perfecto and BlazeMeter

GitLab is ideal for organizations aiming to drive business results while managing priorities, security, risk, and compliance.

Development and Sales of Security Services: Consulting, Implementations of Technologies, Managed Scope of duties with examples: ▪ Creation of concept of GDPR bundle of services and solutions for CEE and Austria Clients, together with technical staff from CEE and DACH ▪ Business Development for HPE Security Services and Products, including: - managed Security Services from HPE SOC Boeblingen, - SailPoint Identity Manager (IAM), - HPE ArcSight (SIEM), - HPE Fortify (app security), - Imperva (DAM & WAF), - HPE Voltage (DLP/encryption), - Fortinet (NGFW), - FireEye/Mandiant/iSightpartners (anti APT), - Secude Halocore ( DLP for SAP), - PING (Cloud Security), - Tanium (New Generation of EndPoint protection and SAM), - Artificial Intelligence solutions: DarkTrace, SentinelOne, Cylance ▪ Maintaining relationship with Key Accounts Clients as well as Key Decision Leaders, from Automotive (VW Group), Production (Voestalpine), Banking (Raiffeisen), Energy (RWE/innogy) and Public sector (IAEA) ▪ Providing professional support and guidance for companies interested in HPE’s security solutions as well as local CEE Enterprise Services sales teams

Creation of concept of Private and Hybrid SOC (Security Operation Center) solution for Clients, together with technical staff from PL and EU Business Development of IBM Security Services and Products, including: - managed Security Services from IBM Security Operating Center, - X-Force Security Services (early warning centre), - Tivoli Identity Manager (IAM), - Q-Radar (SIEM), - Trusteer (anti-fraud), - Guardium (DAM/DLP), - AppScan (app scanning), - Fiberlink (mobile) Maintaining relationship with Key Account Clients as well as Key Decision Leaders, from Banking, Telco, Energy and Public sector Providing professional support and guidance for companies interested in IBM’s security solutions Marketing of MSS services, Private SOC and Hybrid SOC on the market thru conferences, interviews and participation at industry committees

Generate new sales deals in EU country through CA partners. Focus on following CA group of solutions: Service Desk, Network Management (Spectrum, eHealth), Application Performance management (APM Willy) and Security (IdM, DLP and Access Control) Focus on Solution Selling approach on selected big accounts

Selling top solutions for: application and network monitoring, network capacity planning, network troubleshooting, VoIP monitoring and response time analysis. Focus on Polish enterprise market and operations through selected partners

The goal for this position is to create a multi million dollar profit center against Mercury (Interactive) technology for Business Technology Optimization

Machine Learning (ML) Stanford University ML is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. In this class, man learns about the most effective machine learning techniques, and gains practice implementing them and getting them to work for yourself. There are some of Silicon Valley's best practices in machine learning and AI. Course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

Practical Machine Learning Johns Hopkins University One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course covers the basic components of building and applying prediction functions with an emphasis on practical applications. The course provides basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course also introduces a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course covers the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.

Diploma's title "Business Plan for IT Start-up Organization in Poland"

Swimming Champion 1993,1994