--- title: 'Backend Engineer at Boam AI' canonical: 'https://feeny.ai/job/backend-engineer-boam-ai-budapest-ncfph00gyjwg' type: 'job' last_seen: '2026-09-05' --- # Backend Engineer at Boam AI - **Company:** Boam AI - **Location:** Budapest, Hungary - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-12-16 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.ashbyhq.com/boam/a7c8e2a7-ef4e-4768-a16d-ed258e57d90d ## Job description GROW YOUR OWNERSHIP BY BUILDING AND RUNNING CORE SERVICES Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise. As a Backend Engineer, you will help build core parts of our Scala + Python data and agent infrastructure. You will contribute to backend services and data pipelines, work closely with senior engineers on system design, and help scale the systems that keep our data fresh, our APIs fast, and our customers’ workflows moving. This is a role for someone who has solid experience in production systems and wants to grow into more ownership on a small, senior team. ## WHAT YOU’LL DO - Help design and build of resilient backend services and APIs - Partner with senior engineers in designing systems and architectures for reliability and scale - Develop data pipelines from ingestion to enrichment to delivery - Build reliability and test coverage into the code itself – no separate QA layer - Improve performance, scalability, and observability across our stack - Work closely with data/ML to productize AI-powered agents end to end - Participate in design reviews, pairing, and shared engineering best practices - Optimize for real impact, customer outcomes, and fast iteration over theoretical perfection - Use next-gen AI tools to improve code quality and velocity YOU MIGHT BE A FIT IF... - 3+ years building and operating production backend systems - Experience with Scala, Python, or functional / JVM languages - Familiarity with distributed systems, data modeling, and high-volume data flows - Enjoy a mix of greenfield work and scaling existing systems - Thrive without heavy process, QA buffers, or endless safeguards - Have a bias to ship, measure, and refine rather than over-architect - Are motivated by rapid iteration and tangible customer-facing impact - Are excited to work where AI/ML is deeply embedded in the product, not bolted on ## WHY BOAM AI - Join a no-politics, high-trust, low-ego, and high-talent team - Work on mission-critical systems used by top-tier enterprise customers - Work directly with founders and the Head of Engineering on problems that matter - High autonomy, real impact, and clear ownership on well-scoped projects from day one - Operate at the intersection of AI, data infrastructure, and enterprise workflows - Top-tier compensation with meaningful equity upside - Help shape the platform, patterns, and engineering culture you can be proud of ## OUR HIRING PROCESS Our process is fast, structured, and transparent — built to respect your time and surface real mutual fit 1. Intro Call A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions 1. Deep Dive Walk us through past engineering work and how you think about complex, ambiguous backend problems 1. Work Sample Solve a real Boam-style technical challenge that shows your coding style, system thinking, and execution muscle 1. Founder Conversation Candid discussion with our founder on ambition, values, ownership, and how you’d grow with us as we scale the platform ## About Boam AI ## Company Overview - **One-liner**: Boam AI provides AI-native, fully managed CRM data agents that continuously clean, enrich, and monitor business data to drive enterprise growth. - **Entity Type**: Private (Seed-funded; $1.6M total funding) - **Headquarters**: Miami, Florida, United States - **Founded**: 2022 - **Founders**: Daniel P. (CEO & Co-Founder), Stuart Murless (Co-Founder) ## Core Business - **Primary industry**: AI-powered CRM data management / Business intelligence - **Target customers**: B2B – Enterprise sales, data, and AI leaders (initially focused on food & beverage delivery platforms, now expanding) - **Mission / Purpose**: “Turning chaotic real-world signals into reliable intelligence for products and teams worldwide” – building the data layer for the AI economy. ## Products & Services - **Managed Data Agents** (SaaS / AI service): A fleet of autonomous AI agents that handle: - **Cleanup Agents**: Remove closed, duplicate, and non-ICP businesses from CRM; auto-disqualify low-value leads (30%+ reduction). - **Monitoring Agents**: Continuously track changes and alert teams to new opportunities before they officially open. - **Enrichment Agents**: Unlock verified contacts, fill data gaps, and enrich records with proprietary SMB and enterprise data (90%+ targeted leads enriched). - **AI-Native CRM Platform**: Customizable signals to target merchants with exact format, structure, and setup; integrates with industry-leading partners (SOC2 Type II certified). ## Market Standing - **Valuation**: Not disclosed (private company) - **Key Metric**: **Total Funding** – $1.6M (Seed round, December 2022, with 15 investors; preceded by Pre-Seed and earlier Seed rounds) - **Notable Investors/Partners**: 15 investors in Seed round (specific names not publicly listed); partners include major delivery platforms (co-designed with market leaders). - **Growth Signals**: - **8x ARR growth** in the last year (per careers page) - **7M+** enterprise and SMB locations in its business graph - **50%+** merchant coverage in US restaurants (initial vertical) - **25%+** time saving for sales & ops; **99%+** data accuracy and merchant coverage claims - Headcount grew ~13.6% YoY to 18 employees (LinkedIn); operates across 5 countries (US, Hungary, UK, South Africa, Switzerland) ## Competitive Advantages - **Proprietary data moat**: Built by solving SMB data for US restaurants – a uniquely complex market – giving them best-in-class coverage and accuracy. - **Fully managed service**: Customers don’t run the agents; Boam AI operates them autonomously, eliminating quarterly cleanups and manual scrubs. - **AI-native architecture**: Combines ML, LLM, and backend engineering to deliver real-time, always-fresh data without human errors. - **Enterprise-grade**: SOC2 Type II certified, co-designed with market leaders, and built to scale across verticals. ## Strategic Focus - **Vertical expansion**: After proving the model in food & beverage, Boam AI is rolling out to new industries (e.g., retail, hospitality) to compound the CRM advantage for customers. - **Product evolution**: Expanding the agent fleet with more monitoring and enrichment capabilities; building a “live graph” of millions of businesses. - **Talent acquisition**: Hiring senior engineers and product leaders across hubs in Miami, Budapest, Berlin, London, and Toronto to scale the platform. ## Why Work Here - **Culture**: Small, senior team (~18 people, average 15 years experience, 67% with advanced degrees) – no middle managers, high ownership, fast cycles, data-driven decisions. - **Work model**: Flexible mix of office and remote work; hubs in Miami, Budapest, Berlin, London, Toronto; remote roles available in the US. “If you crave real ownership, hard problems, and colleagues who hold themselves to the highest bar.” - **Values**: Data-driven, honest/direct, fair/principled, adaptable, deeply curious, autonomy with responsibility. - **Perks**: Direct customer access, real impact on a platform used by global leaders, strong revenue momentum (8x ARR growth). - **Open roles** (as of search date): Backend Engineer, Senior/Staff Backend Engineer, Security & Backend Engineer, Sales Engineer, Technical Product Lead, Head of Product, Head of Business Development – across engineering, product, and sales. ## Sources 1. [boam.ai](https://boam.ai/) – Homepage 2. [boam.ai/careers](https://boam.ai/careers) – Careers page (company description, values, hiring process) 3. [LinkedIn – Boam AI](https://www.linkedin.com/company/boam) – Company details, headcount, funding, founders 4. [LeadIQ – Boam AI](https://leadiq.com/c/boam-ai/61d64ec7ab1dfb2c788318c7) – Overview and description 5. 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