AI Ops engineer

Make Orus run on AI at every layer: company brain, internal tooling, GTM, and the automations that compound over time.

What you'll own

Identify the highest-leverage automation opportunities across the company, partnering directly with functional leads across GTM, product, and ops
Build and deploy AI agents, automations, and internal tooling, using code-first approaches or modern low-code platforms depending on what's right for the job
Own adoption end-to-end, not just the build
Work closely with the engineering team to understand what we're building technically, and contribute to developer productivity workflows
Build automations that make engineers faster
Build and maintain internal knowledge systems that compound in value over time

2+ years in technical operations, solutions engineering, internal tools, or a technical product role, close to engineering teams and knowing how to work with them, not just around them
Genuinely technical: comfortable with code-first approaches, able to prototype real workflows, not just wire together low-code tools
Hands-on with modern AI tooling (Claude Code, Cursor, n8n, Clay, Gumloop, or similar), with strong opinions about when to use what
A sharp process thinker: spots inefficiency fast, prioritises ruthlessly, designs solutions that actually get adopted
High ownership, low ego: as comfortable doing the hands-on build as presenting a business case to leadership

Experience contributing directly to engineering productivity workflows, not just adjacent to them
Background working in or alongside early-stage startups
Commercial awareness sharp enough to know which problems are actually worth solving

If this sounds like you, email michele@useorus.ai