Outreach is the first and only AI Sales Execution Platform built for intelligent revenue workflows. Built on the world’s largest foundation of customer interactions and go-to-market team data, Outreach’s leading revenue AI technology helps go-to-market professionals and their companies win by intelligently accelerating decision making and elevating sellers to do their best work. Our powerful platform gives revenue teams the tools they need to design, measure, and improve a revenue strategy for every stage of the customer journey, improving efficiency and effectiveness across the entire revenue cycle. Over 6,000 customers, including Zoom, McKesson, Snowflake, SAP, and Okta use Outreach to power workflows, put customers at the center of their business, improve revenue results, and win in the market.
The Role
Today, data is everywhere, but only those who truly know how to use it effectively will succeed. Outreach believes there are large swaths of value still locked in sales operations data and we are putting an effort behind building out the best team to help Outreach and our customers succeed through the use of data. As our customer base grows, the desire for more insights, better coaching, and improvements in efficiencies outpace the supply. The Analytics team is focused on Analytics, Coaching Insights and Workflow optimization. This is a critical role that has a unique chance to build outcome-driven reports and analytics to guide our customers, improve their productivity and have a bigger impact on their revenue growth.
About the Team
This is a growing team within Outreach. This role would set the bar for engineering and operational excellence, team culture, business impact and hiring standards. Our customer base is yearning for more insights and this team will have a large impact on revenue, operational costs, and coaching efficiencies. This team will span multiple functions including machine learning, frontend, backend engineering and data engineering. The Analytics team will work closely with Data Science to leverage models for optimization, as well as develop their own models, the Data Platform team to shape data efficiently, the Product Management and User Interface Designers to surface data in an effective way.