- Location
- US-Remote
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Director
- Source
- Lever
Description
Actian is the company behind the Data Intelligence Platform — an enterprise solution that helps organisations discover, govern, and trust their data at scale. Our platform connects metadata, data lineage, data quality, and business context into a single knowledge graph, enabling enterprises to turn raw data into reliable decisions. We operate globally, move fast, and build for the long term.
Software engineering is being redefined. The engineers who will shape the next decade of product development are not the ones who write the most code — they are the ones who know how to think clearly, ship confidently, and use every tool available to them, including AI, to multiply their impact.
The Actian Data Intelligence Platform helps teams find, understand, and use AI-ready data under clear governance. It connects metadata, data lineage, data quality, and business context into a single knowledge graph, so enterprises can turn raw data into reliable decisions — the trusted foundation that AI agents increasingly depend on to work. We operate globally, move fast, and build for the long term.
The Data Intelligence Platform has to deploy, operate, and pass audits in every one of the environments our customers run — public cloud, private cloud, and on-premises. We are standing up a dedicated platform team to make that possible, and we are hiring the leader who will build it.
This is a hands-on director role. You will stand up and lead a newly formed platform team, hire and grow it, and build alongside it from day one: you will design the platform services, write infrastructure code, and set the engineering standards the rest of engineering relies on.
We are an AI-first engineering organization, and in this role AI is how the work gets done. AI agents run operational tasks, AI accelerates the team's own engineering, and AI replaces tools we pay for today but no longer need. You will also build the infrastructure that runs the AI and ML workloads inside our product.