AI Operations Engineer - US

Conduct AI Ltd

• $110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years in technical operations, solutions engineering, internal tools, or technical product role
  • Genuinely technical with a strong coding background
  • Hands-on experience with modern AI tooling like Claude Code, Cursor, or n8n
  • Sharp process thinker with a knack for spotting inefficiencies
  • High ownership mentality with a collaborative, low-ego approach

Responsibilities

  • Partner with functional leads to identify high-impact automation opportunities
  • Build and deploy AI agents and internal tooling using code-first and low-code approaches
  • Collaborate closely with engineering to enhance developer productivity
  • Create and maintain internal knowledge systems that grow in value over time
  • Drive adoption of automation solutions across teams

Benefits

  • Opportunity to work at the intersection of technology and operations
  • Collaborative environment with cross-functional teams
  • Hands-on role with significant impact on company productivity
  • Access to modern AI tools and technologies
  • Culture that values ownership and initiative
Full Job Description
TL;DR: You'll make Conduct the most productive company per headcount by embedding AI into every workflow that matters - across GTM, finance, ops, and engineering. You understand what our developers are building, you can build alongside them, and you have the strategic instinct to know where automation creates the most leverage.

What you'll own

The mandate is simple: make every team at Conduct dramatically more productive through AI. You'll identify the highest-leverage opportunities across the company, build and deploy the automations, and own adoption end-to-end. You'll work as closely with our engineering team as you will with sales and ops - understanding what we're building technically, contributing to developer productivity workflows, and building internal tooling that makes our engineers faster.

In practice:
  • Partner directly with functional leads across GTM, product, finance, and ops to identify and prioritise the highest-impact automation opportunities
  • Build and deploy AI agents, automations, and internal tooling, using both code-first approaches and modern low-code platforms depending on what's right for the job
  • Work closely with the engineering team to understand what we're building technically, contribute to developer productivity workflows, and build automations that make engineers faster
  • Build and maintain internal knowledge systems that compound in value over time


Who we hire

We're looking for someone who sits at the intersection of technical depth and operational instinct. You've built real things, not just mapped processes or written strategy docs. You understand how software gets built, you're comfortable working alongside engineers, and you bring enough commercial awareness to know which problems are actually worth solving.

In practice that tends to look like:
  • 2+ years in a technical operations, solutions engineering, internal tools, or technical product role. You've been close to engineering teams and you know how to work with them, not just around them.
  • Genuinely technical. You're comfortable with code-first approaches and can prototype real workflows, not just wire together low-code tools. You understand what our developers are building and can contribute meaningfully to engineering productivity.
  • Hands-on with modern AI tooling. You've built real workflows using tools like Claude Code, Cursor, n8n, Clay, Gumloop, or similar and you have strong opinions about when to use what.
  • A sharp process thinker. You spot inefficiency fast, know how to prioritise ruthlessly, and design solutions that actually get adopted.
  • High ownership, low ego. You're as comfortable doing the hands-on build as you are presenting a business case to leadership. No task is beneath you if it moves things forward.

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