Senior AI Automation Engineer

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch. By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com. About this position: 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 lev [... source excerpt omitted ...] m solving real business problems, ships pragmatic v1s in days rather than months, and knows when a scrappy prototype needs to be hardened into something the whole org can rely on. You'll work across Later's lines of business (Later Influence, Later Social, and Mavely), with regular exposure to senior leadership and broad visibility into how the company actually runs. What you'll be doing: Partnership & Discovery 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 technica [... source excerpt omitted ...] to deliver real workflow outcomes. Scaling & Reliability Take working prototypes and harden them with the 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 the monitoring and documentation that lets automations run unattended and recover gracefully when they don't. Enablement & Coaching Coach and advise non-technical colleagues who are building their own automations: review their work, unblock them, and level up their skills over time. Run lightweight enablement (working sessions, office hours, shared do