Eyal Shpits · Technology Executive & Co-Founder
From enterprise engineering at MCE Systems, Similarweb, ServiceNow and SAP to product creation at GreenShpits, I connect technology strategy, people and delivery to customer needs.
Open to CEO, CTO and Head of Engineering opportunities, and advisory conversations.
CTO & Co-Founder, GreenShpits · Former SVP Engineering, MCE Systems · MBA, Finance
Strategy · People · Execution
50+ team members
Global R&D, Product and QA organization at MCE Systems.
20 → 40+ engineers
Scaled the ServiceNow mobile group, directly managing three team leads.
5 product squads
Led cross-functional teams serving millions of users at Similarweb.
MCE Systems · Enterprise delivery
Customer-facing AI/GenAI capabilities for Tier-1 carrier partners in North America and Europe, including Telus promotion programs.
My contribution. Led engineering and productization, coordinating roadmap execution across R&D, Product and QA.
Delivery. Launched production capabilities in under three months while continuing roadmap delivery.
GreenShpits · Founder & builder
A portfolio of mobile products, consulting work and GenAI platform initiatives.
My contribution. Combined app development and marketing with platform architecture, internal tooling, evaluation flows and GenAI-assisted product experiments.
Delivery. Shipped mobile applications and built an app idea evaluation platform. AI work spans internal tools and product experiments.
Explore the idea evaluation platform ↗ServiceNow · Organization & platform
Development of the flagship mobile platform within ServiceNow Israel.
My contribution. Scaled the group from 20 to 40+ engineers, managed three team leads and owned hiring, coaching and performance development.
Delivery. Delivered the platform’s general availability release across the App Store, Google Play and ServiceNow ecosystem.
Co-founder experience spanning product creation, mobile app marketing, client consulting and roadmap prioritization, supported by an MBA in Finance.
Enterprise GenAI productization, mobile and cloud platforms, scalable infrastructure, observability and deployment automation.
Managing managers, hiring and coaching, global cross-functional teams, CI/CD and engineering KPIs that connect priorities to delivery.
Engineering leadership across enterprise platforms, mobile products and GenAI delivery.
I bring a founder’s perspective to engineering leadership: understand the customer problem, make technology choices that serve the product, and build teams that can deliver. My experience spans CTO and co-founder work at GreenShpits, SVP Engineering at MCE Systems, and engineering leadership at Similarweb, ServiceNow and SAP.
At MCE, I led more than 50 team members across R&D, Product and QA. At ServiceNow, I scaled the mobile group from 20 to 40+ engineers. Alongside enterprise delivery, GreenShpits brings experience in app development, marketing, consulting and GenAI experimentation. My management approach combines coaching, cross-functional ownership and practical delivery measures such as cycle time and throughput.
GreenShpits
MCE Systems
SimilarWeb
ServiceNow
Ping Identity
SAP Labs Israel
Quintiq
SAP Labs Israel
ESI Expert Systems Industries Ltd
Israeli Air Force
From experimentation to customer value
My work includes GenAI product delivery at MCE and internal tooling, evaluation flows and product experiments at GreenShpits. The leadership case studies above describe that experience.
A framework for discussing an AI roadmap. The technologies below are options for different use cases, not a list of tools deployed in every project.
Which customer problem justifies generative AI? Compare build versus buy, model quality, privacy, latency and inference cost before choosing a provider.
Large language models (LLMs) · AI ROI · Model routing · Caching
Provider and platform options: OpenAI, Anthropic Claude, Google Gemini, Amazon Bedrock, Azure OpenAI and Vertex AI.
Does the product need retrieval-augmented generation (RAG), better prompt engineering or context engineering? Define the knowledge sources and grounding requirements before selecting a retrieval stack.
Embeddings · Vector databases · Semantic search · Hybrid retrieval · Reranking
Retrieval options: pgvector, Pinecone and LlamaIndex. Fine-tuning is a separate decision, based on the task and available training data.
Where is a predictable workflow enough, and where does an AI agent need to choose tools? Define permissions, structured outputs and human-in-the-loop checkpoints before adding autonomy.
Agentic AI · Function calling / tool use · Model Context Protocol (MCP) · Workflow orchestration
Orchestration options include LangGraph. Multi-agent systems and multimodal AI should follow a demonstrated product need.
What proves the system is ready for customers? Set evaluation criteria, trace failures and measure cost and latency alongside usefulness. Plan for data privacy and access control from the start.
LLMOps · Evals · Regression testing · Guardrails · Prompt-injection defenses · Hallucination mitigation
Observability options include Langfuse. Responsible AI requires ongoing monitoring and clear human accountability.
This portfolio’s development workflow has used Cursor and now Codex. Coding agents support implementation; code review and validation remain part of delivery.
A selection from the GreenShpits mobile portfolio: product ideas taken through development and publishing. Explore individual apps or browse the full catalog.
ארגון מלאכים בדרכים הוא ארגון התנדבותי שהוקם במטרה לסייע לנהגים הנתקעים בדרכים עקב תקלות שונות. החל מפנצ'רים, בעיות מצבר, נזילות שמן ועד לילדים נעולים
גרסא מעוצבת חדשה
ווייז לים - Waze for the sea.
Creating comics has never been so easy.
Научиться играть на гитаре аккорды, с помощью вашего iPhone.
Stand-up comedy, live music, funny skits and an original radio show - all in a single App.
Intensive build weekends—from ML prototypes at Similarweb to GenAI for digital inclusion with AWS, NVIDIA, and telecom partners—turning ideas into working demos under real deadlines.
Similarweb · 2021
Team member
Company-wide hackathon where R&D teams built prototypes in two days. Team Talent developed a machine learning pipeline to help HR surface top candidates from thousands of applications by combining proprietary Similarweb data with recruiting signals.
TM Forum · MCE Systems · 2024
Team member — Mindspark
TM Forum Hackathon Days (~120 participants), co-hosted with AWS for Telecom, NVIDIA, Anthropic, and AT&T under the Breaking Barriers theme for digital inclusion. As part of MCE Systems, Team Mindspark showcased Mindspark—an AI-driven platform that personalizes post-secondary education by adapting content to each learner's strengths and preferences.
TechHeal · Metiv · TechGym · 2026
Partner — GreenShpits
Ten-week innovation program pairing TechGym technologists with Metiv clinicians to build technology for PTSD survivors and their families. After a postponed launch during national emergency, the opening event brought 140+ participants together; GreenShpits contributes its publishing platform so teams can reach those who need support.