AI-powered food intelligence platform for CPG brands and retailers
Tastewise operates a food-industry-specific AI intelligence platform built on Python, PostgreSQL, MongoDB, and Elasticsearch, with heavy reliance on AWS data-pipeline services (Glue, EMR, Kinesis) and multi-model LLM orchestration (OpenAI, Claude, Gemini via RAG). The tech stack reflects a data-intensive, real-time signal-processing architecture tailored to CPG supply-chain and demand-planning workflows. Hiring velocity is decelerating while internal friction centers on balancing rapid PoC velocity against long-term platform scalability — a classic signal of a product-market-fit company transitioning from startup agility to enterprise infrastructure.
Notable leadership hires: Account Director
Tastewise is a food-intelligence platform designed for CPG brands, food manufacturers, and retailers to analyze consumer and market signals at scale. The company operates across three value streams: analytics and insights (market signal processing), AI-assisted decision-making (agent-based recommendations), and go-to-market activation (sales enablement and channel strategy). Founded in 2017 and based in New York, Tastewise serves mid-market to enterprise food companies. The organization is hiring across sales (focused on account expansion), engineering (platform and ML integration), and data roles, with notable leadership presence in account management and go-to-market strategy.
Python, SQL, PostgreSQL, MongoDB, Elasticsearch, AWS Glue, AWS EMR, AWS Kinesis, Docker, Kubernetes, React, Node.js, TypeScript, and multi-model LLMs (OpenAI, Claude, Gemini) with RAG architecture.
United States, Israel, and Spain. Current active roles span sales, engineering, data, and marketing functions across these regions.
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