GenAI Tech Lead: Structured Insights

As the Tech Lead for Structured Insights and Detection, you’ll own the algorithms and systems that turn messy, multi-channel feedback into reliable structured insights, flexible anomaly detectors, and novelty discovery—and deliver trustworthy alerts to product and CX teams. You’ll collaborate directly with engineers, directors, the CTO, and other tech leads to turn ambitious prototypes into a rock-solid product used by brands like Grubhub, Booking, Dropbox and Uber.About the companyCompany AnecdoteAnecdote is an innovative, AI-first startup revolutionizing how companies analyze customer feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, Fubo, Booking.Com and Uber to derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth.We’re backed by Neo, Sukna, Race Capital, Propeller, and Wamda.Responsibilities50% Build — design and shipStructured extraction from unstructured text (and other modalities) using schema-driven pipelines, tool-use, and retrieval.Hybrid anomaly detection blending classical time-series (Prophet/statsmodels/Kats) with LLM-aware, contextful detectors (seasonality, spikes, step-changes, drift).Novelty discovery: embedding-based clustering and drift, topic surfacing, and LLM summarization of emerging themes with deduplication and evidence links.Alerting and scoring: severity/impact ranking, de-noising, suppression/cool-downs, routing, and feedback loops.25% Architect and scaleOwn reliability, latency, and cost, design online/offline eval harnesses, canarying, and SLAs. Operate GPUs/accelerators where needed. Own on-call for your area.Pair with back-end and front-end to wire detectors/extractors into ticketing, voice, and analytics stacks (APIs, webhooks, real-time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails.10% Align and showcaseGather requirements from CX leads, demo new capabilities to execs and customers, and document impact in plain English with precision/recall, alert quality, and cost metrics.RequirementsStartup hacker mindset: you respect no boundaries, self-start from zero, and carry work from first prototype to production finish line. ?AI-native dev tools in your DNA: Cursor, v0, Claude Code (and similar) are daily drivers.7–10 years building production ML/back-end systems; 2+ years leading while coding.Expert Python; strong back-end chops (FastAPI, gRPC, Postgres, pub/sub/streams).Hands-on with time-series analysis (decomposition, change-point, forecasting) and modern LLM approaches (prompting, tools, RAG).Fluency with at least one agent framework (ADK preferred) and building RAG pipelines.Track record translating business problems into shipped ML features—and explaining results clearly.Working conditionsRemote-first freedom and flexible hours Regular off-sites and monthly virtual game nights Unlimited vacation (minimum 20 days encouraged) ?Learning budget for conferences, courses and books Startup equity in a rapidly growing marketContacts

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