echoloc

myPOS Tech Stack

Payment platform with instant settlement and integrated POS terminals for European merchants

Financial Services London, England 201–500 employees Privately Held

myPOS operates a fintech payments infrastructure for mid-market merchants across Europe, built on cloud infrastructure (AWS, GCP, Azure) and data warehousing (Snowflake, Databricks). The tech stack reveals a heavy investment in AI/ML—LangGraph, LlamaIndex, CrewAI, and RAG systems sit at the top of their adoption list—while active projects show a shift toward agentic systems design and lifecycle automation. Sales-driven hiring (65 open roles) paired with 146 active positions signals aggressive merchant acquisition, though internal friction surfaces around merchant onboarding and fraud detection.

Tech Stack 80 technologies

Core StackRAG Pinecone Weaviate AWS Terraform Docker Kubernetes Python Apache Airflow Dagster Databricks Apache Spark Snowflake Power BI NetSuite Jira Confluence Figma LangGraph LlamaIndex CrewAI MCP pgvector GCP Azure Cloud Build LinkedIn Learning Visio BPMN CRM+48 more

What myPOS Is Building

Challenges

  • Pilot-to-production ratio
  • Merchant onboarding
  • Fraud pattern detection
  • Detecting payment fraud
  • Pipeline performance gaps
  • New b2b client acquisition
  • Complex payment processes
  • Cash flow optimization
  • Payment challenges
  • Highly competitive market

Active Projects

  • Lifecycle communication standards and automation governance
  • Automated lifecycle journeys across email, push, and in-app channels
  • Automation of reporting processes
  • Next best action decisioning engine
  • Telesales workflow optimization
  • Local payment method onboarding
  • Agentic systems design and build
  • Retrieval system implementation
  • Mcp server development
  • Partner marketing asset library

Hiring Activity

Accelerating150 roles · 120 in 30d

Department

Sales
65
Support
19
Finance
16
Marketing
13
Engineering
8
HR
7
Data
5
Product
5

Seniority

Mid
70
Senior
34
Junior
29
Manager
11
Intern
1
Company intelligence

Find more companies like myPOS by tech stack, pain points and active projects

Get started free

About myPOS

myPOS provides payment processing and point-of-sale solutions to merchants across Europe, with operational presence in ten cities spanning London, Amsterdam, Milan, Paris, Sofia, Bucharest, Vienna, and Lisbon. The platform differentiates on instant settlement—funds available to merchants immediately at no additional cost—bundled with free e-money accounts, Android POS terminals, online/mobile payment tools, and a linked Business Visa card. The company operates at 201–500 employees and is scaling sales and support operations across eight countries (UK, Bulgaria, France, Italy, Germany, Portugal, Romania, Poland). Core infrastructure runs on Snowflake, Databricks, and cloud providers; the org is architecting agentic systems and retrieval layers alongside traditional data pipelines.

HeadquartersLondon, England
Company Size201–500 employees
Hiring MarketsBulgaria, Italy, France, United Kingdom, Germany, Portugal, Romania, Poland

Frequently Asked Questions

What tech stack does myPOS use?

myPOS deploys AWS, GCP, Azure for cloud infrastructure; Snowflake and Databricks for data; Python, Kubernetes, Docker, and Terraform for orchestration; Jira and Confluence for internal workflow; and LangGraph, LlamaIndex, and CrewAI for AI/ML systems.

What is myPOS working on?

Active projects span agentic systems design, lifecycle automation (email/push/in-app journeys), fraud detection, merchant onboarding optimization, next-best-action decisioning, telesales workflows, and local payment method integration.

How this profile is built

myPOS's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.