Role overview

Later is an AI-powered influencer marketing platform used by major brands including Nike, Wayfair, Unilever, and Southwest Airlines. As a Senior AI Automation Engineer, you will work across the organization to identify manual, repetitive work and replace it with durable AI-powered automations. This role bridges engineering, consulting, and coaching—you’ll build solutions that move the needle quickly while helping non-technical teams develop their own automation capabilities.

Key responsibilities

Embed with teams across Operations, Finance, Marketing, Customer Success, and other departments to understand their workflows and identify high-impact automation opportunities.
Build and ship working automations and internal tools using AI-native platforms, APIs, scripting, and other pragmatic approaches, prioritizing speed to value.
Harden prototype solutions into production-ready automations with proper reliability, observability, error handling, and documentation for unattended operation.
Coach non-technical colleagues on building their own automations, review their work, and run enablement sessions to grow automation skills across the organization.
Identify patterns across teams and create reusable components, templates, and frameworks that compound automation leverage organization-wide.
Partner with Engineering and IT on platform decisions that support scalable, durable automation infrastructure.
Develop and communicate a point of view on Later’s automation roadmap and high-leverage opportunities for leadership.

Requirements

Proven track record building and shipping automations, internal tools, or AI-powered workflows that delivered measurable business impact.
Strong fluency with modern AI tooling including large language models, agents, retrieval-augmented generation, and prompt design, plus comfort wiring together APIs and no-code/low-code platforms.
Business-first mindset that starts with the problem and user rather than the technology, with ability to sharpen non-technical partners’ problem definitions.
Bias to action and resourcefulness, with demonstrated ability to ship working versions in days rather than months and iterate from there.
Judgment about when solutions are good enough as one-offs versus when they need to be built for organization-wide use.
Strong written and verbal communication skills, with ability to explain technical tradeoffs to non-technical audiences and coach others effectively.
Experience in internal tools, RevOps, BizOps, or similar applied AI/automation contexts.

What makes this role worth considering

You’ll have regular exposure to senior leadership and visibility into how Later operates across its multiple business lines. This is a high-leverage position where you solve real business problems rather than abstract technical challenges, and you’ll build both immediate wins and long-term organizational capability by enabling colleagues to automate their own workflows.