Senior AI Automation Engineer

We're hiring an AI Automation Engineer to embed across teams at Later, including 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 work across Later's lines of business (Later Influence, Later Social, and Later Creator), with regular exposure to senior leadership.

Responsibilities

Embed with non-technical stakeholders across Operations, Finance, Marketing, Customer Success, and other functions to understand their workflows; Surface the highest-impact automation opportunities and translate ambiguous problems into clear technical solutions; Build automations and internal tools using AI-native platforms, scripting, and APIs; Ship working v1s quickly so stakeholders can validate value; Wire together LLMs, agents, RAG patterns, and prompt design with existing systems; Harden working prototypes with reliability, observability, error handling, and reusability; Define when a one-off solution is good enough versus when it needs to be promoted org-wide; Build monitoring and documentation so automations run unattended; Coach and advise non-technical colleagues building their own automations; Run lightweight enablement (working sessions, office hours, shared documentation); Identify cross-team patterns 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); Comfort wiring together APIs, scripts, and no-code/low-code platforms; A business-first mindset, starting with the problem and the user rather than the technology; Resourcefulness and a bias to action, shipping a working v1 in days, not months, and iterating 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

Nice to have

Experience in an internal-tools, RevOps, BizOps, or applied AI function; A background in supporting or training non-technical builders (citizen developers, ops teams running their own tooling); Comfort with data: pulling it, cleaning it, and reasoning about it

Benefits

Eligibility to participate in various benefits plans as part of the overall compensation package; Market-based compensation reviewed bi-annually, including performance and market-related factors