Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.
Sales Engagement • Lead Generation • Predictive Analytics • Lead Scoring • Sales Strategy
3 days ago
Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.
Sales Engagement • Lead Generation • Predictive Analytics • Lead Scoring • Sales Strategy
• Design, build, evaluate, deploy and iterate on scalable Machine Learning systems • Understand the Machine Learning stack at Apollo and continuously improve it • Build systems that help Apollo personalize their users’ experience • Evaluate the performance of machine learning systems against business objectives • Develop and maintain scalable data pipelines that power our algorithms • Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows • Write unit/integration tests and contribute to engineering wiki
• Bachelors, Masters, or a PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience • 8+ years of experience building Machine Learning or AI systems • Experience deploying and managing machine learning models in the cloud • Experience working with fine tuning LLMs and prompt engineering • Strong analytical and problem-solving skills • Proven software engineering skills in production environment, primarily using Python • Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
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