
Hilbert
San Francisco, CA
AI-native growth infrastructure for B2C teams
About
Hilbert builds AI-native growth infrastructure that provides B2C teams with predictive clarity into user behavior, revenue drivers, and growth actions. It turns fragmented data into actionable insights via agentic AI, natural language interfaces, and ML models for recommendation, forecasting, and segmentation. This enables faster decisions, root cause analysis, and automated execution to drive sustainable revenue growth.
Tech stack
Python, LangChain, LangGraph, Kubernetes, RAG, ClickHouse, agentic workflows, Clay, Claude, Product Roadmapping, SEO, SQL, TypeScript, Node.js, React, MongoDB, Express
Perks & benefits
Equity, Performance bonus
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Open jobs
5Own Hilbert’s content, distribution, events, community, discoverability, and conversion programs while building its marketing function from zero. The role requires 5+ years in content or growth marketing, enterprise or mid-market experience, strong writing, SEO/AEO expertise, and an experimentation-driven operator mindset.
Build and run Hilbert's privacy program from within the product for its agentic AI growth platform. Advise on privacy-by-design for agentic workflows, ensure multi-jurisdictional compliance (US, UK, EU), negotiate enterprise DPAs/contracts, and serve as primary legal contact for customers. Requires 6-7 years PQE in privacy/product counsel at data/AI companies.
Forward Deployed Data Engineer building hybrid data pipelines and semantic layers for Hilbert's AI Growth Engine. Implements warehouse-native or managed ClickHouse integrations, partners with AI agents for accelerated onboarding, and ensures reasoning consistency across customer environments.
Lead product marketing for Hilbert, an AI-powered growth engine for B2C teams. Own positioning, messaging, GTM strategy, content, events, and launches for a technical data-heavy product while building the marketing function from the ground up. Requires 8+ years product marketing experience with enterprise customers.
Builds production-grade AI systems including agent architectures, evaluation pipelines, and workflows for enterprise demand intelligence platform. Owns end-to-end from prototype to deployment, focusing on accuracy, latency, and cost tradeoffs in ambiguous startup environment.