Senior AI Automation Engineer

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. We're hiring an AI Automation Engineer to embed across teams at Later, Operations, Finance, Marketing, Customer Success, and beyond, and replace manual, repetitive work with durable AI-powered tooling. This role sits at the intersection of engineer, internal consultant, and coach: you'll build the automations that move the needle today and level up non-technical colleagues to build the next wave themselves.

Responsibilities

Embed with non-technical stakeholders across Operations, Finance, Marketing, Customer Success, and other functions to understand their workflows in depth; Surface the highest-impact automation opportunities and translate fuzzy, ambiguous problems into clear technical solutions; Build automations and internal tools using AI-native platforms, scripting, APIs, and other pragmatic solutions; Ship working v1s quickly so stakeholders can validate value before investment scales; Wire together LLMs, agents, RAG patterns, and prompt design with existing systems to deliver real workflow outcomes; Take working prototypes and harden them with reliability, observability, error handling, and reusability needed for production use; Define when a one-off solution is good enough as-is versus when it needs to be promoted into something the whole org can rely on; Build monitoring and documentation that lets automations run unattended and recover gracefully; Coach and advise non-technical colleagues building their own automations; Run lightweight enablement such as working sessions, office hours, and shared documentation; Communicate technical tradeoffs clearly to non-technical audiences; Identify patterns across teams and build shared components, templates, and frameworks; Create reusable building blocks such as prompt libraries, integration patterns, and automation templates; Partner with Engineering and IT on platform decisions

Requirements

A track record of building and shipping automations, internal tools, or AI-powered workflows that delivered measurable business impact; Strong fluency with modern AI tooling (LLMs, agents, RAG, prompt design) and comfort wiring together APIs, scripts, and no-code/low-code platforms; A business-first mindset: start with the problem and the user, not the technology, and sharpen a non-technical partner's problem definition through the right questions; Resourcefulness and a bias to action: ship a working v1 in days, not months, and iterate from there; An instinct for scale, knowing when something is good enough as a one-off versus when it needs to be built to serve the whole org; Strong written and verbal communication skills, with the ability to explain technical tradeoffs to non-technical audiences and coach others to build their own solutions; Comfort with data: pulling it, cleaning it, and reasoning about it

Nice to have

Experience in an internal-tools, RevOps, BizOps, or 'applied AI' function is a plus; A background in supporting or training non-technical builders (citizen developers, ops teams running their own tooling) is a bonus

Benefits

Eligible to participate in various benefits plans as part of overall compensation package