Fedor Zomba — DevOps Engineer
I help enterprises cut through AI hype and build adoption strategies that actually work - and I write about it for 100,000+ readers. My perspective is unique: I'm both a Technical Lead building AI adoption products (4+ years, 90+ countries) and a thought leader explaining why most enterprise AI initiatives struggle with activation and engagement. I've been in the trenches instrumenting analytics platforms, writing adoption strategies and watching them succeed or fail in real-time, then learning on the go and iterating - turning those lessons into frameworks others can use. Organizations focus on deployment but don't build the product infrastructure to understand user behavior. They lack activation metrics, engagement funnels, and experimentation frameworks. They treat AI adoption as a technical problem when it's fundamentally a product-led growth challenge. My work bridges this gap. I build analytics platforms that track what matters (activation rates, feature adoption, retention patterns). I observe what works and what doesn't in real-time, iterate rapidly based on behavioral data, and share what I learn through writing and 10+ international speaking engagements. I'm hyper focused on GenAI as a human capability augmentation tool, not replacement. With my engineering background, I've automated and augmented so much in my own life that I've lived the transformation firsthand. I know what works because I use these tools daily to amplify my own capabilities and I bring that practitioner's mindset to Enterprise AI adoption strategy. Technical background: mechanical engineering, 18+ years in enterprise systems (SAP, Salesforce, Azure). Product focus: understanding user behavior through data, rapid iteration based on real-world observation, and building platforms that scale. Tel Aviv-based. Let's talk PLG, behavioral analytics, and practical AI adoption strategies.
Stackforce AI infers this person is a SaaS expert with a strong focus on AI and cloud engineering.
Location: Tel Aviv, Israel
Experience: 18 yrs 2 mos
Skills
- Cloud Engineering
- Ai Implementation
- Salesforce Implementation
- Sap Support
Career Highlights
- Expert in AI adoption strategies for enterprises.
- Proven track record in building analytics platforms.
- Strong background in both engineering and product management.
Work Experience
Philip Morris International
Senior Cloud Engineer Digital Workplace and Collaboration (3 yrs 10 mos)
DevOps Engineer Digital Workplace and Collaboration (3 yrs 5 mos)
IS Solution Architect - Commercial SFDC (1 yr 10 mos)
IS Solution Expert - SAP (7 mos)
SAP Analyst - SD (1 yr)
SAP Analyst - Supply Chain (3 yrs 6 mos)
SAP Analyst - Procurement (1 yr 4 mos)
SAP Analyst - Operations and Logistics (8 mos)
Wartsila
SAP key user / Logistics coordinator (3 yrs 7 mos)
Education
Master’s Degree at Peter the Great St.Petersburg Polytechnic University