Own a product surface from vision through launch and measurable impact, using customer discovery to shape the roadmap and partnering with software, ML/AI, and data engineers on technical growth products.
Hilberts jobs
Hilbert provides data science-first growth infrastructure that helps B2C teams predict user behavior and identify growth opportunities.
10 open roles at Hilberts
Architect and deliver enterprise data integrations across Latin America, building pipelines and semantic models that give AI agents reliable business context while shaping the regionβs deployment practices.
Own and evolve production AI agents, from evaluation harnesses and retrieval strategies to orchestration and execution, improving reliability while balancing accuracy, latency, and cost.
Build and operate production-grade AI systems, owning agent evaluation, architecture, retrieval, and execution while improving reliability, accuracy, latency, and cost for enterprise workflows.
Build and operate production AI systems for enterprise workflows, owning agent evaluation, retrieval, orchestration, and execution while balancing accuracy, latency, and cost.
Build Hilbertβs enterprise presence by creating pipeline, opening strategic consumer accounts, and leading complex sales cycles from first conversation to close while translating data and AI capabilities into measurable business value.
Build and own the privacy program for an agentic AI platform, advising product and engineering on privacy-by-design while negotiating enterprise contracts and guiding customers on data handling across US, UK, and EU regimes.
Architect customer data integrations across managed ClickHouse and warehouse-native environments, building semantic layers and canonical models that give AI agents a reliable, consistent understanding of business data.
Build and scale Hilbert AIβs full-stack product experiences, including its enterprise portal, agentic interfaces, and backend services that make AI interactions reliable, responsive, and adaptable.
Architect customer data integrations across managed ClickHouse and warehouse-native environments, building semantic layers and canonical models that give AI agents a reliable, high-fidelity understanding of business data.
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