Customer Strategy Analytics & Applied AI Lead

Join Owner, a data and AI-driven company, as the Customer Strategy Analytics & Applied AI Lead. In this role, you will drive analytics and strategy for the Customer Success organization, working directly with the SVP of CS and the broader CS leadership team. You will improve customer analytics, strategize across the customer lifecycle, direct the CS analytics pod, build AI-powered tools, and accelerate impact with AI. This position offers the opportunity to work from anywhere, receive pre-IPO equity, and enjoy comprehensive health benefits and unlimited PTO.

• Améliorer l'analyse, l'engagement et la stratégie d'intégration de l'IA pour le succès et le support client.
• Travailler directement avec le SVP de CS sur notre modèle d'engagement client, la structure organisationnelle et où CS devrait investir ses heures.
• Définir les priorités et la direction pour les travaux d'analyse et d'IA appliquée de CS.
• Get energized by new frontiers — defining the next version of CS strategy, not optimizing existing playbooks
• Get more energy from building and shipping than from analyzing and presenting
• Aren't afraid to pick up new tools and skills, from Claude Code to custom machine learning pipelines, whatever the problem requires
• Have felt torn about whether to pursue a business vs. technical/analytical career path (at Owner we believe these must merge)
• Thrive in ambiguity and don't need a playbook to figure out what to work on next
• Want to build lasting systems and products, not one-off analyses
• When solving problems, dive deep to understand root causes and become a subject matter expert. You don't stop at surface-level insights
• Are excited about applied AI: building AI-powered products, and using AI to change how analytics and building gets done
• 5–7+ years in analytics, strategy, or ops — whether that's management consulting, startup analytics, BizOps, or a hybrid path that's hard to label
• Restaurant industry experience is a plus!
• Excellent numerical skills, with additional technical background or education strongly preferred. Claude (or equivalent agentic tooling) is a must; SQL/Python skills are a plus!
• Familiarity with how CS / Support orgs actually operate. Deep functional pedigree not required, but you should come up to speed quickly
• You've personally shipped data products, models, or AI-powered systems into production — not just delivered insights
• Self-sufficient operator — can run an end-to-end workstream without scaffolding
• Experience with SaaS, marketplaces, or high-growth startups preferred
• Player-coach instinct: you take satisfaction in helping others do their best work. Formal management experience welcome but not required
• Comfortable with ambiguity; you don't need a playbook to figure out what to work on next