Senior AI Automation Engineer

Job not on LinkedIn

🔥 19 minutes ago

🇺🇸 United States – Remote

💵 $110k - $160k / year

⏰ Full Time

🟠 Senior

🤖 QA Automation Engineer

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Later

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

📣 Marketing

🛍️ eCommerce

🌍 Social Impact

Marketing • eCommerce • Social Impact

Later is an award-winning platform that specializes in influencer marketing and social media management. The company provides tools for brands and creators to connect, manage campaigns, and analyze performance across various social networks. Later focuses on streamlining communication and collaboration while delivering transparent analytics and data-driven insights to drive predictable marketing results for its clients.

📋 Description

• 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. • Leave every stakeholder conversation with a sharper problem definition than you walked in with. • Build automations and internal tools using AI-native platforms, scripting, APIs, and whatever else gets the job done, pragmatism over purity. • 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 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. • 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 documentation) that grows the citizen-developer community at Later. • Communicate technical tradeoffs clearly to non-technical audiences and teach others to fish.

🎯 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: you start with the problem and the user, not the technology, and can sharpen a non-technical partner's problem definition through the right questions. • Resourcefulness and a bias to action: you 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. • 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. • Comfort with data: pulling it, cleaning it, and reasoning about it.

🏖️ Benefits

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