AI-native growth infrastructure for B2C teams
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.
Supports the CEO by researching topics, preparing briefings, managing cross-functional projects, analyzing data, and assisting with investor and board materials. Requires 1-2 years experience and a strong quantitative background.
Drives AI-powered growth strategies for fashion brands using Hilbert platform, analyzes customer behavior and revenue drivers, collaborates with sales on account strategies, and provides feedback to improve product reasoning in apparel-specific contexts.
Early-career operator running AI growth platform Hilbert on grocery/QSR/retail customer data to uncover insights on cohorts, retention, and revenue drivers. Translates findings to product teams and supports sales with growth narratives, building industry fluency through hands-on ownership.
Builds and runs content engine including editorial strategy, video programming, sales enablement, and thought leadership for B2C growth intelligence platform. Requires 5+ years B2B tech content experience, video production ownership, and B2C growth fluency.
Builds and owns agentic GTM infrastructure including sales stack (HubSpot, Clay, etc.), automations, APIs, and AI-driven workflows to scale pipeline generation and conversions from zero. Requires RevOps/GTM engineering experience, coding skills, business acumen, and high-agency mindset.
Launch GTM in new international markets by generating enterprise pipeline from scratch, closing strategic deals, mapping local dynamics, and building partnerships. Starts with 3 months discovery in San Francisco alongside founders; requires hunter mindset, adaptability, and grit.
Leads enterprise revenue for a region by closing high-value deals, building and managing sales teams, developing GTM playbooks, and shaping scalable revenue strategies. Requires proven hunter-builder mindset with experience in complex sales and growth levers.
Leads Data & Software Engineering teams at AI growth engine company, scaling to 20+ members across SF and Istanbul. Owns infrastructure strategy, hiring, cross-functional sync with AI/ML/Product/CS, and enterprise compliance/security.
Leads design, build, and deployment of production ML systems for demand intelligence including recommendation engines, forecasting, and personalization for enterprise B2C clients. Owns full lifecycle from problem framing to business impact, with deep systems thinking and causal rigor; hires and mentors team.
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.
Owns end-to-end product vision for AI-driven growth tools targeting B2C companies. Defines roadmaps, engages customers for insights, prioritizes features with engineering, and advises on growth opportunities. Requires technical understanding and strong cross-functional collaboration.