Goodie

United States
20 Total Employees

Jobs at Goodie

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Recently posted jobs

16 Days AgoSaved
Hybrid
Cairo, EGY
Information Technology
Serve as primary strategic lead for enterprise clients to design AEO strategies across LLMs and AI search. Research AI models and prompt patterns, translate findings into competitive analyses and playbooks, integrate AEO with client growth teams, present insights to executives, and convert client challenges into product feedback.
One Month AgoSaved
Hybrid
Cairo, EGY
Information Technology
Lead end-to-end product development for AI-driven marketing observability. Define roadmaps, prioritize features, coordinate engineering and design, use product analytics to measure performance, support go-to-market with sales/marketing, produce collateral, and iterate on customer feedback to ensure high-quality, usable AI products.
One Month AgoSaved
In-Office
New York City, NY, USA
Information Technology
Build and run Goodies sales function: carry quota and close enterprise/mid-market B2B SaaS deals, run full-cycle sales, hire and coach AEs, define ICP and sales playbook, develop ROI narratives, own revenue strategy, and partner with leadership to align GTM and product based on field intelligence.
One Month AgoSaved
In-Office or Remote
Cairo, EGY
Information Technology
Lead development of Goodie AI's platform: architect and build React front-ends and backend services (Python/Node/Java), implement CI/CD and containerized deployments, integrate APIs and databases, collaborate with designers and data scientists, and optimize application performance and scalability.
One Month AgoSaved
In-Office
New York City, NY, USA
Information Technology
Lead development and launch of AI-driven marketing products for a B2B SaaS observability platform. Define roadmaps, prioritize features, coordinate engineering and design, use product analytics to drive decisions, support go-to-market and marketing collateral, and iterate based on market and customer feedback.
One Month AgoSaved
Hybrid
Cairo, EGY
Information Technology
Turn multi-model signals into measurement, forecasts, and optimizations. Clean and label large datasets, extract structure with LLMs/NLP, define product-grade metrics, run experiments, build predictive models, create evals and monitors, and translate insights into product and business decisions.