--- title: 'Sales Engineer at Boam AI' canonical: 'https://feeny.ai/job/sales-engineer-boam-ai-budapest-ghdasmm2cph4' type: 'job' last_seen: '2026-09-12' --- # Sales Engineer at Boam AI - **Company:** Boam AI - **Location:** Budapest, Hungary - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-12-16 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/boam/cd13f228-faa2-47a8-aef1-ca0200143b3c ## Job description Lead pilots and integrations that turn top-tier partners into power users 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 Sales Engineer, you will sit at the intersection of product, engineering, and our top tier partners like Uber Eats and Toast. You will help scope and run pilots, support integrations and implementations, and make sure customer feedback turns into the right product and data improvements. This is a role for someone who is technical enough to dive into APIs and data, and commercial enough to sit with senior stakeholders and keep projects moving. ## What You’ll Do - Partner with enterprise customers on pilots and early deployments - Lead technical discovery, solution design, and integration planning - Translate messy partner data needs into concrete API and data feed requirements - Support implementation work across APIs, data feeds, and CRM connections - Coordinate with product, engineering, and data teams on requirements and scope - Translate customer needs into clear tickets, specs, and follow ups - Build and maintain demo environments, sample data sets, and playbooks - Help design and track pilot success metrics and reporting views - Collect structured feedback from users and stakeholders during pilots - Troubleshoot issues across data, configuration, and integrations - Provide input into roadmap based on real customer use and impact You Might Be a Fit If... - 3–6 years in a customer facing technical role - Experience as a Sales Engineer, Solutions Engineer, or similar role - Worked with API integrations, data operations, and automation through scripting or SQL - Comfortable debugging APIs, security, and data flows - Strong communicator with both technical and non technical partners - Able to run discovery, ask good questions, and map needs to solutions - Experience with B2B SaaS, data products, or analytics platforms - Enjoy working on pilots, proof of concepts, and first of kind projects - Comfortable owning timelines and keeping multiple teams in sync - Bias to ship, learn from usage, and refine quickly - Motivated by solving real customer problems and seeing impact in the field ## Why Boam AI - Work directly with top tier partners like Uber Eats and Toast - Join a no politics, high trust, low ego, high talent team - Sit close to founders, product, and engineering on critical deals - High autonomy, clear ownership, and visible impact from day one - Operate at the intersection of AI, data, and enterprise workflows - Top tier compensation with meaningful equity participation - Help shape how we sell, implement, and expand our largest accounts Our Hiring Process Our process is fast, structured, and transparent. It is designed to respect your time and surface real mutual fit 1. Intro Call Brief call to meet and outline the role 2. Deep Dive Walk through past customer facing and technical work 3. Practical Exercise Work through a Boam style pilot and integration case 4. Founder Conversation Align on values, ambition, and how we work together ## 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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