
1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
Artificial Intelligence • Sales • Enterprise
Outreach is a company that provides an AI-powered sales execution platform designed to streamline workflows and enhance the effectiveness of sales representatives. The platform utilizes artificial intelligence to forecast revenue accurately, manage deals, and optimize the entire sales process. Outreach helps sales teams prioritize tasks, identify prospects, and maintain engagement throughout the customer lifecycle, ultimately aiming to boost win rates and reduce churn. With over 6,000 global customers, Outreach focuses on transforming seller workflows to consistently exceed revenue targets.
🕒 May 18
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1001 - 5000 employees
Founded 2014
🤖 Artificial Intelligence
🏢 Enterprise
Artificial Intelligence • Sales • Enterprise
Outreach is a company that provides an AI-powered sales execution platform designed to streamline workflows and enhance the effectiveness of sales representatives. The platform utilizes artificial intelligence to forecast revenue accurately, manage deals, and optimize the entire sales process. Outreach helps sales teams prioritize tasks, identify prospects, and maintain engagement throughout the customer lifecycle, ultimately aiming to boost win rates and reduce churn. With over 6,000 global customers, Outreach focuses on transforming seller workflows to consistently exceed revenue targets.
• Design, implement, and improve machine learning Systems. • Contribute to machine learning applications end to end, i.e. from research to prototype to production. • Work with product managers, designers, and customers to define vision and strategy for a given product.
• A hybrid data science engineer who can navigate both sides with little help from others • You understand the typical lifecycle of machine learning product development, from inception to production. Experience in Gen AI application/agent development is a plus. • You have strong programming skills in at least one programming language (Python, Golang, etc.). Experience in frameworks like Langchain, OpenAI Agent SDK is a plus. • You have experience building microservices. Experience with Golang is a plus. • You have substantial experience with building and managing infrastructure for deploying and running ML models in production • You have experience working with distributed data processing frameworks such as Spark. Experience with Spark's MLlib, AWS, Databricks, MLFlow are a plus • You have some knowledge of statistics and machine learning and have practical experience applying it to solve real-world problems. • You are hands-on, able to quickly pick up new tools and languages, and excited about building things and experimenting. • You go above and beyond to help your team • You should be able to work alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products. • You have a degree in Computer Science, Data Science, or a related field, and 4-6 years of industry or equivalent experience
• Health insurance • Flexible work hours • Professional development opportunities
Apply Now🕒 April 20
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