AI Operations Engineer

Conduct; New York (NY); On-site; USD 120,000 - 210,000; Full time

Job summary

Conduct is building an AI operating system to accelerate the speed and ambition of large enterprises. You will own the mandate to make every team dramatically more productive through AI, identifying high-leverage automation opportunities across GTM, product, finance, and ops, and deploying AI agents and internal tooling with both code-first and low-code approaches.

You will collaborate closely with engineering to align technical builds with productivity goals and contribute to developer

Qualifications

• 2+ years in a technical operations, solutions engineering, internal tools, or technical product role.
• Hands-on with modern AI tooling.
• You understand how software gets built and can contribute meaningfully to engineering productivity.
• You bring commercial awareness to identify problems worth solving.

Responsibilities

• Make every team at Conduct dramatically more productive through AI.
• Identify the highest-leverage automation opportunities across GTM, product, finance, and ops.
• Build and deploy AI agents, automations, and internal tooling using code-first and low-code approaches.
• Work closely with the engineering team to understand what we're building and contribute to productivity workflows.
• Build and maintain internal knowledge systems that compound in value over time.

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.

Why Conduct

We believe the world's largest companies should move at the speed of their ideas, not the speed of the decade-old systems they run on. Today they don't.

Every process change, every new product line runs into SAP systems layered with decades of custom code and complexity no human mind can fully comprehend. New requirements take months to ship, system migrations cost $100M+ and years of pain.

We're building the AI operating system that absorbs this complexity and gives enterprises back their speed and ambition. Major enterprises already trust us with their most critical systems, we've closed game-changing SI partnerships, just raised a $60M Series A, and demand is outpacing what we can service.

We're a small, talent-dense team doing our life's work out of London and NYC. Extreme ownership, high velocity, low-ego collaboration. What you build here shapes the company and how the world's largest companies operate. We are convinced diverse teams build better products, so we especially encourage underrepresented groups in tech to reach out.

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.