Job Description

Turn chaos into trusted data at high volume and high speed

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Boam AI builds managed data agents 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 with strategic partners such as Uber Eats and Toast.


As a Data Analyst, you will help build, improve, and operate the data pipeline that keeps Boam's truth layer fresh at scale. This is not a dashboard role. You'll tackle messy inputs across verticals and geographies, automate quality and throughput, and keep pace with fast-growing customer demand. You'll work across ingestion, validation, transformation, and analysis, partnering closely with ops, engineering, and data/ML. This is a role for someone who wants real ownership early, loves precision, and learns fast in an environment with minimal safety nets.

What You'll Do

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Own pipeline quality and freshness across core datasets Scale ingestion and validation across new geos and verticals Build automation that replaces manual checks and rework Monitor pipeline health and drive fast root-cause fixes Build SQL outputs that power production customer workflows Produce clear analysis that drives product and customer decisions Support ingestion and transforms with pragmatic Python tooling Turn investigations into shipped improvements customers feel Use next-gen AI tools to improve speed, rigor, and reliability

You Might Be a Fit If...

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1-3+ years in data analysis, analytics engineering, or similar roles Strong SQL and comfort working with messy, real-world datasets Working knowledge of Python for analysis and automation Own problems end-to-end and close loops without hand-holding Debug systematically and write crisp, structured investigations Prefer automation over manual work and scale what you build Thrive without heavy process, QA buffers, or endless safeguards Motivated by real customer impact, not perfect dashboards Excited to work where AI/data is the product, not a side project

Why Boam AI

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Join a no-politics, high-trust, low-ego, high-talent team Work on a differentiated data moat powering top-tier enterprise partners High ownership, direct feedback, and steep learning curve from day one Real impact: your work shows up in customer workflows quickly Top-tier compensation with meaningful equity upside Help build the data systems and standards we'll scale to 100x

Our Hiring Process

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

1. Intro Call

Quick conversation to align on role, motivation, and expectations

2. Deep Dive

Walk through past work (projects, analyses, datasets) and how you think

3. Work Sample

A practical Boam-style data task (SQL/Python + reasoning + clear write-up)

4. Founder Conversation

Values, ownership, pace, and how you'd grow with us as we scale


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.