Principal Customer Success Analyst - AI and Advance Customer Analytics

<p>Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.</p> <p>At Toast, we are obsessed with our customers’ success. As a <strong>Principal Customer Success Analyst - AI Advance Customer Analytics</strong> you will be a strategic partner to our Care Operations, Voice of the Customer (VoC), and RD teams. We need a high-level problem solver who uses AI and Machine Learning to unlock the "why" behind our data and turns those insights into a differentiated customer experience, better product, and a more efficient operation.</p> <p>You will bridge the gap between unstructured customer feedback (chat, voice, email) and our structured data environments. By connecting these worlds, you will deliver insights that help to identify gaps in our current roadmaps, surface unmet customer needs, and drive the organization toward our goals of reducing customer pain and increasing revenue retention.</p> <ul> <li><strong>Strategic Business Partner:</strong> Build deep relationships with Care Operations and VoC to understand their highest-priority friction points. You won't just deliver data; you’ll help them enhance their strategies with insights they didn't know were possible.</li> <li><strong>AI-Powered Analysis:</strong> Use Snowflake Cortex, Python, and LLMs to classify and score interactions (complexity, urgency, sentiment). You will turn hundreds of thousands of conversations into structured, actionable insights that drive a world class customer experience.</li> <li><strong>The "Insight-to-Action" Playbook:</strong> Create a scalable framework for how the organization can benefit from the insights AI unlocks. This includes building prompt libraries and analytical playbooks that allow the broader Care team to access and use data more effectively.</li> <li><strong>Experiment with Purpose:</strong> Maintain a culture of "iterate and ship," but always with an eye on accuracy and business goals. You ensure that every AI experiment is tied directly to a business outcome.</li> <li><strong>Problem Solver Independent Lead:</strong> As a subject matter expert and strong individual contributor, you own the "how." You are expected to navigate ambiguity, identify blockers before they become issues, and bring data-backed solutions and recommendations to Directors, VPs, and the COO.</li> </ul> <p><strong>A day in the life (Responsibilities) </strong></p> <ul> <li><strong>Applied AI/ML Experience:</strong> You have a proven track record of using AI, ML, and Data Science tools for analytical purposes—specifically for classification, sentiment analysis, or trend identification in a professional setting.</li> <li><strong>Operational Lens:</strong> You understand how a Customer Success or Care organization functions. You can speak the language of "tickets," "retention," and "CSAT" just as fluently as "joins" and "LLMs."</li> <li><strong>High Visibility Influence:</strong> You are a confident communicator who can stand your ground with senior leadership, translating complex technical findings into clear, strategic recommendations.</li> </ul> <p><strong>What you'll need to thrive (Requirements)</strong></p> <ul> <li><strong>6+ years of experience</strong> in a high-growth, data-intensive environment (e.g., Analytics, Data Science, or Business Intelligence).</li> <li><strong>Proficient in SQL:</strong> Expert-level ability to navigate complex schemas and build performant queries (experience with Snowflake is a major plus).</li> <li><strong>AI/LLM Savvy:</strong> Demonstrated ability to use AI tools (ChatGPT, Gemini, Snowflake Cortex, etc.) to analyze large sets of unstructured data.</li> <li><strong>Strong with BI Tools:</strong> Extensive experience building high-impact dashboards and visualizations in tools like Sigma, Looker, or Tableau.</li> <li><strong>Data Science Familiarity:</strong> Comfortable with foundational data sci ... (truncated, view full listing at source)