The product

We believe the next generation of data infrastructure will be built for agents first.

Modern data warehouses like Snowflake, Databricks, and Google BigQuery are now the default layer for centralizing data and are quickly becoming the foundation for how AI agents operate on company data.

Weld is a data infrastructure platform built to be integrated programmatically by developers and agents. Our pipelines move data at scale across hundreds of integrations, and our platform is increasingly the backbone for agentic data workflows, both for our customers and internally.

Give it a try: weld.app

The role

This is an AI platform engineering role focused on building agentic systems on top of modern data infrastructure and working directly with customers to deploy them in production.

You will spend part of your time working directly with customers, onboarding them, guiding them through complex data setups, and helping them implement and operate Weld within their agentic workflows. The rest of your time will be spent turning what you learn into systems, building agentic workflows, shipping AI-powered tooling, and shaping how Weld is built for agents.

You will use Weld to build and operate internal agentic systems, directly shaping the product’s evolution. Alongside this, you will work with APIs such as the Anthropic API and tools like Claude Code to design agentic data infrastructure and define how Weld exposes itself to agents through APIs and tool interfaces.

This role is a great fit for someone early in their career who wants to take ownership and build real systems and agentic workflows in production.

What you will work on

• Work directly with customers to set up data infrastructure that powers their agentic workflows on Weld. Diagnose issues, guide them through our API, and turn real-world problems into product improvements.
• Work with and shape data models in the warehouse, often using agents and automation to transform and structure data.
• Design and maintain agentic workflows that automate and augment customer support using AI agents.
• Build systems in which AI agents interact with data pipelines, trigger workflows and data transformations, and reason over warehouse data, for both internal use and customer-facing capabilities.
• Ship AI-powered tooling using Claude Code and the Anthropic API, ranging from internal operations and automation to tools that help build, debug, and operate data workflows.
• Help define how agents interact with Weld through APIs and tool interfaces built for agentic use.

We are looking for someone who

• Has a solid understanding of modern data infrastructure, including ETL, reverse ETL, and data warehousing, or is eager to learn it quickly
• Has experience working with SQL and data modeling, ideally with dbt or similar
• Has built or experimented with LLMs or agent-based systems, either in projects, internships, or production
• Has some experience working with APIs or building systems that interact programmatically
• Understands or is curious about how agents use tools, including function calling and structured prompting
• Is comfortable writing Python or TypeScript when needed
• Is comfortable working with developer tools such as VS Code, CLIs, and APIs

Nice to have

• Experience with Snowflake, BigQuery, or Databricks
• Experience designing APIs or developer tools
• Background in customer-facing or solutions-oriented roles

The team

We are a team that values ownership across the stack. People here take problems from idea to production, going deep where needed and collaborating across disciplines.

How we work

We prioritize a culture that is ambitious, collaborative, and fast-moving. You will have real ownership, a high degree of autonomy, and the opportunity to shape both product and technical direction while working closely with the rest of the team.

How to apply

Apply via LinkedIn with a short introduction.

Include:

• 2–3 things you’ve built or worked on
• 2–3 things you’ve learned while building them

Bonus if you include anything you’ve built with LLMs or agent-based systems.

Some nice things about working at Weld

• Competitive salary and equity
• 6 weeks paid holiday per year
• Company-paid pension scheme
• Company-paid health insurance
• Flexible working hours
• Every quarter, we spend a few days together enjoying social activities, team-building, and lots and lots of fun!
• Everyone gets a company card from day one. Meaning that you can buy your own things for work whenever needed
• We have a nice office space in central Copenhagen, right next to the Opera
• MacBook Pro

Our values

Extreme customer focus

Putting our customers first has been and will continue to be our top priority. Our ability to make our customers happy will define our long-term success.

Execution over ideas

Action beats inaction. We move fast, make decisions fast, and learn by doing. Momentum matters, and focusing on what moves us forward keeps our impact high.

Quality in every line

Craft matters. We take pride in thoughtful, reliable work that reflects our standards. High quality in everything we ship is how we create lasting value for customers.

Our Mission

Most companies sit on valuable data they cannot actually use. The tooling is too complex, the expertise too scarce, and the setup too slow. Weld exists to change that by making data infrastructure accessible not just to humans, but to systems and AI agents that can operate on it directly. We make it possible for companies to build on their data programmatically, whether that is an analyst exploring data, a developer integrating via an API, or an AI agent running automated workflows against their warehouse.

We're backed by forward-thinking investors - Cherry Ventures and Frontline Ventures