Teams at Givelify

Build and deploy production machine learning systems for personalized recommendations, fraud detection, risk scoring, ranking, classification, and anomaly detection. Own the full ML lifecycle, including mathematical formulation, feature engineering, training, evaluation, A/B testing, deployment, monitoring, and reliability. Develop low-latency real-time inference services using large-scale donor and transaction data, collaborate with Platform and DevOps teams, and mentor engineers on ML best practices and scientific rigor.

Leads product positioning, messaging, customer and market research, competitive analysis, business cases, roadmaps, validation pilots, and go-to-market strategies. Partners with product, sales, customer success, and marketing teams to launch products, drive adoption, and optimize performance using metrics such as usage, NPS, ARPU, LTV, and donor consistency.

Creates, edits, refreshes, and optimizes content across blogs, emails, presentations, and campaign assets. Conducts keyword research and SEO audits, manages CMS content, supports marketing campaigns, and measures performance using KPIs and analytics. Collaborates with Creative, Product Marketing, Brand, Customer Marketing, and other stakeholders to develop compelling, customer-focused stories and ensure content aligns with brand voice and business goals.