Boam AI

Boam AI is built to supercharge sales and operations teams, allowing them to unlock smarter pipeline prioritization and higher conversion rates, while dramatically reducing operational friction. Our AI-powered intelligence and fully managed data workflows continuously cleanse and enrich records with proprietary, best-in-class data. By surfacing verified contacts, real-time signals, and high-value opportunities before competitors know they exist, we’re transforming how enterprise companies engage with restaurants. And we’re only just getting started. We're bringing proprietary, AI-native CRM data management to every industry. Our platform was built from the ground up to solve the real-world challenges facing delivery platforms. Now, after refining our offer with market leaders, we’ll soon be rolling out to new verticals, compounding the CRM advantage of our customers.

boam.ai

Boam AI

boam.ai

HQUS

Team Size25

Open Jobs54

Total Funding-

Latest FundraiseUnknown

TL;DR

Vertical: Restaurant intelligence / CRM data management

Founded: 2021

Headquarters: Miami, Florida

Employees (approx.): 25

Notable claims: 500+ verified data points from 800K+ sources; SOC2 Type II certified

Company Overview

Problem Domain

CRM data quality and intelligence for restaurant SMBs and enterprises

Founded

2021

Industry

Artificial Intelligence; Enterprise Software; Food & Beverage

Funding Track Record

Pre-seed- April 2022

Seed- December 1, 2022

Crunchbase lists 14 investors including Ligature VC and Charlie Songhurst among recent investors

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Boam AI

boam.ai

Boam AI

boam.ai

HQUS

Team Size25

Open Jobs54

Total Funding-

Latest FundraiseUnknown

TL;DR

Vertical: Restaurant intelligence / CRM data management

Founded: 2021

Headquarters: Miami, Florida

Employees (approx.): 25

Notable claims: 500+ verified data points from 800K+ sources; SOC2 Type II certified

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Company Overview

Problem Domain

CRM data quality and intelligence for restaurant SMBs and enterprises

Founded

2021

Industry

Artificial Intelligence; Enterprise Software; Food & Beverage

Funding Track Record

Pre-seed- April 2022

Seed- December 1, 2022

Crunchbase lists 14 investors including Ligature VC and Charlie Songhurst among recent investors

Founders

What we do

Related Companies

Company	HQ	Industry	Total Funding
Causaly	🇬🇧London, GB	BiotechnologyData and AnalyticsDeepTechHealthInformation TechnologyInternet ServicesSoftware	$93M
Monolith	🇬🇧GB	Data and AnalyticsDeepTechDesignInformation TechnologyInternet ServicesSoftware	-
Protege	🇺🇸US	Data and AnalyticsDeepTechEducationInformation TechnologySoftware	$35M
UnlikelyAI	🇬🇧GB	—	$22M
Maxim AI	🇺🇸US	Data and AnalyticsInformation TechnologySoftware	-

Join the Team

Applied AI Engineer

On-SiteBerlin, Berlin, DE

On-Site • Berlin, Berlin, DE

Ship production ML and agentic AI powering market leaders worldwide 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 an Applied AI Engineer, you will own the lifecycle of the models and agents that power our product. You will build and maintain ML data pipelines, develop production-ready LLM- and agent-driven features, and work closely with backend engineers to integrate models into real systems. This is a role for someone who has shipped ML to production, wants real ownership over models and pipelines, and is excited to work on a small, senior team where AI is at the core of the product.

What You’ll Do

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Data Scientist

Full-timeNiš, RS

Full-time • Niš, RS

Machine Learning Engineer

InternshipBerlin, DE

Internship • Berlin, DE

Technical Writer

InternshipAustin, US

Internship • Austin, US

DevOps Engineer

Part-timeJerusalem

Part-time • Jerusalem

Technical Writer

ContractAmsterdam, NL

Contract • Amsterdam, NL

Backend Developer

InternshipNiš, RS

Internship • Niš, RS

Own the ML model lifecycle from training and evaluation to deployment

Build and maintain ML & agentic data pipelines for training, inference, and monitoring

Develop production-ready agentic and large-language-model–driven features

Integrate models into production systems in close collaboration with backend engineers

Implement experiment tracking, model CI/CD, and automated retraining

Improve performance, reliability, and observability of ML and AI systems in production

Work with product and data teams to turn ambiguous problems into concrete ML/AI solutions

Use next-gen AI tools to improve iteration speed and model quality

You Might Be a Fit If...

3+ years of ML engineering experience working on production systems
Strong Python skills and hands-on ownership of end-to-end ML pipelines or agentic systems
Comfortable with data preprocessing, feature engineering, and evaluation at scale
Familiarity with LLMs or modern foundation models
Experience with common ML tooling (e.g. PyTorch, TensorFlow, XGBoost, vector DBs, experiment trackers)
Comfortable working across APIs, data stores, and infrastructure, not just notebooks
Bias to ship, measure, and refine rather than chase perfect offline metrics
Motivated by solving real customer problems and seeing models used in the wild
Thrive without heavy process, QA buffers, or endless safeguards – you own what you ship

Join a no-politics, high-trust, low-ego, and high-talent team
Work on mission-critical ML/AI systems used by top-tier enterprise customers
Work directly with founders, the Head of Engineering, and senior engineers on problems that matter
High autonomy, real impact, and clear ownership from day one
Operate at the intersection of AI, data infrastructure, and enterprise workflows
Top-tier compensation with meaningful equity upside
Help shape the ML/AI platform, patterns, and practices you can be proud of

Our process is fast, structured, and transparent – built to respect your time and surface real mutual fit

A short conversation to learn more about you, share context on Boam AI and the ML/AI role, and answer initial questions

Walk us through past ML/AI work, systems you have built, and how you think about complex, ambiguous modeling and production challenges

Solve a real Boam-style ML/AI challenge that shows your modeling approach, pipeline thinking, and execution muscle

Founder / Leadership Conversation

Candid discussion with our founder and Head of Engineering on ambition, values, ownership, and how you would help us scale our ML and agentic systems

Apply between Dec 15, 2025 and Jan 10, 2026 . After Jan 10 , we’ll review all applications and quickly invite the candidates we’d like to take forward.