Senior Solutions Consultant · AI & MarTech Strategist
Founder, Marketeyez
I help enterprise revenue teams see what they've been missing — aligning AI-powered go-to-market technology with real business outcomes through strategic pre-sales leadership and solutions consulting.
What I Do
With deep roots in enterprise data, AI-driven sales technology, and MarTech strategy, I bridge the gap between sophisticated platforms and the humans who need to trust, adopt, and champion them.
As a bilingual Senior Solutions Consultant, I've navigated complex sales cycles at Dun & Bradstreet, Conversica, Leadspace, and Oracle — translating technical capability into undeniable business value.
Learn More About MeMCP, autonomous sales agents, and AI-native revenue workflows
Discovery, demos, RFP responses, and technical proof-of-concepts
Revenue tech stack strategy, ICP targeting, and pipeline architecture
API, ETL/ELT, CRM ecosystems, and data quality frameworks
About Me
"My edge is seeing what enterprise teams overlook — then building the case to act on it."
I'm Jakub Malobecki — a bilingual (English & Polish) senior pre-sales and solutions consulting professional with many years of experience in enterprise B2B SaaS. I founded Marketeyez to bring a consulting-grade perspective to the intersection of AI, data intelligence, and revenue technology.
My career spans some of the most influential platforms in the space — Dun & Bradstreet, Conversica, Leadspace, and Oracle — where I led complex, consultative sales engagements with Fortune 500 and enterprise-tier buyers across North America.
Before moving into technology sales and pre-sales, I built a foundation in bank auditing and financial analysis — a background that still informs how I frame ROI, model impact, and earn trust with CFOs and economic buyers.
I hold a B.S. in Accountancy from Merrimack College and bring MEDDIC/MEDDPICC frameworks, executive-level storytelling, and deep technical fluency — from REST APIs to Agentic AI and Model Context Protocol — to every engagement.
Technical & Domain Proficiency
Services
Embedded or fractional solutions consulting support for SaaS companies at critical stages of growth. I bring enterprise-grade discovery, demo strategy, and technical storytelling to your most important deals.
I help enterprise teams and SaaS vendors understand, position, and deploy AI-native sales and marketing capabilities — from autonomous agents to Model Context Protocol integrations.
From data quality to intent signals to engagement platforms, I evaluate, rationalize, and architect the revenue technology stack to eliminate redundancy and maximize pipeline impact.
Sales engineering meets revenue strategy. I work with founders, VPs, and GTM leaders to sharpen positioning, build compelling narratives, and enable sales teams to have better conversations at every stage.
How I Work
We talk through your situation, goals, and where you need the most leverage — no agenda, no sales pitch.
I deliver a focused engagement proposal with clear scope, timeline, and measurable outcomes.
Embedded work — discovery, analysis, delivery — with regular check-ins and full transparency.
Knowledge transfer, documentation, and optional ongoing advisory to lock in the gains.
Case Studies
Representative engagements across pre-sales, AI strategy, and GTM advisory. Details have been anonymized or generalized where appropriate.
A global B2B data and analytics platform was struggling with inconsistent demo quality across a distributed solutions consulting team. Discovery conversations lacked depth, and technical storytelling wasn't resonating with economic buyers.
I redesigned the demo narrative framework, introduced MEDDIC-informed discovery sequencing, and created executive-specific value tracks aligned to CFO, CMO, and RevOps personas. The result was a dramatically improved progression from demo to POC.
A SaaS vendor entering the AI-native sales technology market needed a compelling, credible narrative for enterprise prospects — one that explained Model Context Protocol and agentic AI without overwhelming non-technical buyers.
I developed a full executive briefing document and presentation framework that grounded MCP in use cases, competitive dynamics, and clear adoption roadmaps. The material was used in C-suite conversations with multiple Fortune 500 prospects.
A mid-market SaaS company had accumulated a fragmented, overlapping revenue tech stack with no clear ownership or integration strategy. Marketing, sales, and RevOps were pulling in different directions — and paying for three tools doing the same job.
I conducted a full stack audit, mapped capability overlap, and built an ROI-informed rationalization plan with a phased consolidation roadmap. The business case was presented directly to the CFO.
Insights
MCP is not just a developer curiosity — it's the connective tissue that will make AI agents genuinely useful in enterprise revenue workflows. Here's what GTM leaders need to understand before their vendors explain it to them.
A plain-language breakdown of retrieval-augmented generation for sales and solutions engineers who need to talk about it with customers.
Discovery-led, persona-aware, and outcome-first. A framework for demos that actually move deals forward.
As third-party data depreciates, the companies that own clean first-party signals will win the next era of go-to-market.
Get In Touch
Whether you're scaling a pre-sales team, evaluating AI-native revenue tools, or need a strategic partner for a complex enterprise deal — I'd love to hear what you're working on.