opengreenhousenvp
Senior Business Analyst, AI & Automation
Babylist
LocationUnited States, Remote
WorkplaceFull
Last observed2026-06-13 05:24:03.728115
Job idnvp-babylist:greenhouse:5987585004
Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. What the Role Is Babylist is looking for a Senior Business Analyst, AI & Automation to help define how we operate today — and how we evolve through AI agents, LLM-powered workflows, and intelligent automation. This is a true 0→1 role at a company leaning fully into what AI makes possible. Every team already uses tools like Claude daily, and this role helps turn that into durable, system-level workflows. Your focus is understanding how work actually gets done. Where decisions happen. Where things break down. Where time is spent on work that shouldn’t require human effort. You’ll take messy, real-world processes and turn them into structured, AI-ready specifications — the kind that LLM-powered systems and agents can reliably execute. This is not a role where you inherit clean systems or operate at a distance. You’ll be dropped into ambiguous workflows across the business and expected to create clarity from scratch. If you prefer working from existing documentation or staying at a high level, this will be a tough fit. If you like asking hard questions, mapping reality (not theory), and turning it into something buildable, you’ll thrive here. Who You Are 8+ years in business analysis, process improvement, or systems design , with a track record of leading end-to-end process discovery across multiple business functions You have deep experience translating ambiguous, real-world workflows into structured artifacts (BRDs, process maps, or equivalent) that both business stakeholders and technical teams can act on You’ve worked on AI or automation-driven initiatives , with a clear understanding of where LLMs are effective, where they break, and how to design around those constraints You have hands-on experience with LLM platforms or AI tools (Claude, OpenAI, Gemini, or similar) and understand how to use them to explore, test, and refine workflows You’re familiar with prompt engineering concepts , including structuring inputs, controlling outputs, and designing for consistency in LLM behavior You understand how AI systems operate in production, including RAG (retrieval-augmented generation), tool/function calling, or multi-agent workflows , at a practical level You have experience defining decision logic, exception handling, and edge cases in a way that holds up beyond ideal scenarios You’ve written or contributed to evaluation frameworks (evals) for AI-powered workflows, including defining what “good” looks like and how to measure model performance You’re a strong cross-functional partner, comfortable going deep with business teams to understand how they actually work and translating that into clear, buildable specifications You communicate with clarity and structure, producing artifacts that drive decisions — not just documentation that sits unused You’re comfortable operating in ambiguous, fast-moving environments , where you’re expected to create structure rather than follow it You’re genuinely excited about what AI c
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