You will own the analytical side of the platform, including the semantic layer of metrics, A/B testing methodology, and recommendation algorithms. This involves hands-on work such as debugging reports, writing technical specifications, and collaborating directly with engineering.
You will own the end-to-end data strategy, including merchant-facing analytics, experimentation methodology, and the ML-powered product recommendation stack. You will design metrics, prototype in SQL, and collaborate with engineering to implement data-driven features for the platform.
The recruiter will own the full-cycle hiring process, from understanding client needs and sourcing candidates to conducting interviews and managing negotiations. They will also be responsible for performance management of placed talent and maintaining accurate records in the ATS.
Participants will record a short video demonstrating a series of facial expressions and emotional reactions to provide training data for AI systems. The process involves following in-app prompts to capture natural human expressions.
You will own the full-cycle lead research and outbound prospecting process to identify new commercial real estate deals. This involves daily cold calling to brokers, landlords, and tenants to qualify leads and book meetings for the deal team.
You will lead growth marketing by building and maintaining automated systems, tracking infrastructure, and AI-agent workflows. You are responsible for end-to-end e-commerce growth, including managing Amazon and Shopify channels, paid acquisition experiments, and retention strategies.
Build and scale GTM functions, data infrastructure, and AI-native products for high-growth startups. Connect with founders and executives to solve hard problems and turn bold ideas into measurable revenue and impact.
