Product Automations Engineer

Role: Product Automations Engineer

Responsibilities:

• Build and own AI agents and automated workflows that serve product and marketing teams, designing, deploying, and iterating on them end to end. This is a builder role. Scoping for others to build is not the job.
• Work directly with product managers, engineers, and marketers to identify high-value automation opportunities and translate them into a live build, from problem definition through to deployment and post-launch iteration.
• Own the full agent development lifecycle: problem scoping, workflow brief, prompt architecture, tool integration, testing, deployment, and ongoing improvement. You are accountable for what your agents produce at scale.
• Build and maintain integrations between product systems, marketing platforms, CMS tools, CRMs, analytics stacks, and third-party APIs, keeping workflows connected, reliable, and resilient.
• Establish QA frameworks for all automated outputs. Define what good looks like, where human review is required, and build the processes that enforce those standards consistently after deployment.
• Treat deployed agents as live products. Monitor performance, catch drift or failure early, and fix issues without being asked. An underperforming agent that goes unreported is a failure of this role.
• Document automations and agent workflows clearly, written for non-engineers so that product and marketing teams can understand, modify, and extend them without engineering support every time.
• Evaluate and recommend tooling across the automation and AI stack, including Make, Zapier, n8n, Claude, and equivalents, bringing forward structured recommendations based on team needs and commercial context.

A note for applicants

A note for applicants: If your experience with AI is limited to using consumer tools, prompting chatbots, or working within workflows someone else built, this role is likely a step beyond where you are right now. We are looking for someone who has built agents, shipped them into a live environment, watched them fail, fixed them, and made them better. That experience is the baseline, not the ceiling.