# AI & Data Technical Consultant

**Company**: ShipMonk
**Location**: Prague
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/shipmonk/jobs/5001482101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b4766905-1f5

## Description

ShipMonk isn't just a 3PL , we're the tech-powered growth partner for ecommerce brands, running 12+ owned fulfillment centers across the US, Canada, the UK, and Europe so our merchants can stress less and grow more.

Find where data and AI can change how a business works, then build it. ShipMonk runs ecommerce fulfillment for 1,500+ brands from 12+ fulfillment centers, up to 100,000 orders a day in peak season. The platform is built in Prague. We are creating an AI domain from scratch, and you will be one of its first builders. You work as a hands-on internal technical consultant. You look for AI opportunities with HR, Sales, Marketing and Operations, prototype quickly, and ship what works to production. You also help the whole company become more AI-first.

## Responsibilities

- Spot AI opportunities in business teams and turn vague asks into scoped projects

- Prototype fast with AI coding tools, then harden and deploy what proves its value

- Build the data each tool needs: pipelines into Snowflake and clean models in dbt

- Ship AI solutions: agents, RAG assistants and automations, with evals so we know they work

- Integrate with the tools teams already use: Slack, CRM, ticketing, n8n, MCP

- Lead AI enablement: workshops, office hours and templates that help colleagues build with AI

- Measure adoption and iterate

## Requirements

- You build AI-first, hands-on. Claude Code, Cursor or similar tools are part of your daily work.

- You have taken apps built this way into production: deployed, secured, monitored and used by real people.

- You have built the data behind a product: at least one pipeline or data model that real users relied on.

- Strong Python and SQL

- You love experimenting with new AI tools and showing others how to use them

- You are comfortable working with business users and own problems from idea to adoption, and can show the impact in numbers

- 3+ years of hands-on engineering, in a product, startup, solutions or data team

## Nice To Have

- Snowflake, dbt, Airflow

- Pydantic AI, Langfuse or similar

- TypeScript or Streamlit for quick internal front ends

## Benefits

- A mandate to find and build AI opportunities across the company

- Your users are colleagues you can talk to, so you see impact within weeks

- High autonomy and direct access to leadership

- Time to try new AI tools and approaches

- Karlín office, small team

## Skills

### Required
- Python
- SQL
- AI
- Snowflake
- dbt

### Nice to have
- Airflow
- Pydantic AI
- Langfuse
- TypeScript
- Streamlit

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/shipmonk/jobs/5001482101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)