Data science: AI Reporting Lead

AI Reporting & Insights Lead — AI-Powered Analytics & Insights

Location: Remote (with flexible core hours) or London, hybrid

The Role

As AI Reporting & Insights Lead you'll own the intelligence layer of our AI-powered platform—the dashboards, reports, prompts, and templates that transform raw customer data into clarity. This is a unique hybrid role combining AI expertise, analytical rigor, and customer-facing delivery. You'll define what "great AI-powered reporting" looks like and make it repeatable, scalable, and delightful.

What You'll Actually DoOwn Core Reporting Infrastructure (40%)

• Architect AI-powered reports: Design weekly email summaries, automated dashboards, and report templates using LLM summarization, structured extraction, and embedding-based clustering
• Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights
• Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.)
• Optimize RAG pipelines: Design retrieval strategies and grounding approaches for report generation to ensure factual, relevant outputs

Customer-Facing Analytics & Enablement (30%)

• Deliver bespoke insights: Partner with key accounts to understand analytical needs and build custom AI-powered reports and dashboards
• Simplify the complex: Translate sophisticated AI outputs (embeddings, clusters, anomalies) into executive-ready insights that non-technical users can understand and act on
• Train & enable: Create playbooks and conduct workshops showing customers how to maximize value from Clarity's AI reporting features
• Close the feedback loop: Channel customer needs back to Product to shape the reporting roadmap

Product Collaboration & Innovation (20%)

• Shape AI reporting features: Partner with Product and Data Science to spec new capabilities—structured output schemas, prompt templates, embedding-based discovery
• Experiment & prototype: Build proof-of-concepts for new report types using Python, pandas, OpenAI APIs, and our data pipelines
• QA & iteration: Test new features, validate AI outputs for accuracy and relevance, ensure quality before launch

Operations & Optimization (10%)

• Monitor report health: Track delivery, engagement, and quality metrics; debug when outputs degrade
• Performance tuning: Optimize report generation costs and latency; balance API usage with quality
• Document everything: Maintain clear documentation for prompts, templates, and best practices

What Makes You a Great FitTechnical Foundation

• 5+ years in analytics roles building customer insights, product analytics, or data-driven reporting
• AI-native experience: Hands-on work building reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines
• Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis
• SQL fluency: Can write complex queries and understand data modeling
• Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.)

Unique Strengths

• Simplification superpower: Exceptional ability to make complex AI concepts and technical outputs understandable to non-technical audiences—you know how to hide the magic while showing the value
• Data storytelling: You know what makes an insight actionable vs. just interesting; you can craft narratives that drive decisions
• Customer empathy: Comfortable presenting to executives, running workshops, and handling ambiguous requirements with patience and clarity
• Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively

Bonus Points

• Experience with text analytics, NLP, or customer experience (CX) analytics
• Background in time-series analysis, anomaly detection, or forecasting
• Prior work at analytics agencies or consulting delivering bespoke reporting
• Exposure to AI infrastructure (vector databases, embeddings, semantic search)
• Experience at early-stage startups or as a founding team member

About Clarity

Clarity is an AI-first startup revolutionizing how companies understand customer feedback. Our platform consolidates feedback from app reviews, support chats, surveys, and social media into actionable insights. Trusted by brands like Grubhub, OpenAI, Dropbox, Uber, and Careem, we turn messy, multi-channel data into structured intelligence that drives real business decisions.

We're backed by top investors including Neo, Sukna, Race Capital, Propeller, and Wamda, having raised $12M to date.