Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Today, data is everywhere, but those who truly know how to use it effectively will succeed. Outreach believes there are large swaths of value still locked in sales team 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. We are expanding the engineering team to include a new team focused solely on Analytics, Coaching Insights and Workflow optimization. This will be a critical role that has the chance to build out the team from scratch and we are looking for a Software Engineering Manager to lead the effort.
About the Team
This is a brand new team that is being built now. This Principal 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 work inside the Core Workflow group and include multiple functions including frontend, backend engineering and data engineering. The Analytics team will work closely with Data Science to leverage models for optimization, the Data Platform team to shape data efficiently, and the other Core workflow to improve the overall impact of our customer experience.
Basic Qualifications
Preferred Qualifications
Why You’ll Love It Here
We help revenue teams save time, money, and energy through automation, activity tracking, and artificial intelligence. Outreach, the leading B2B sales engagement platform, accelerates revenue growth by optimizing every interaction throughout the customer lifecycle. The platform manages all prospect and customer interactions across email, voice and social, and leverages machine learning to guide reps to take the right actions.
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year