Staff Machine Learning Engineer (7-10 years of experience)
About Outreach
Outreach, founded in 2014, is the only complete AI Revenue Workflow Platform that helps sales leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. Outreach infuses agentic AI to power 100s of use cases across sales motions. From new logo prospecting to renewal and expansion, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Global organizations use Outreach to power their revenue teams, including SAP, Siemens, Snowflake, ZoomInfo, and Verizon to name a few. To learn more, please visit www.outreach.io.
About the Team
Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of
success. We use it for everything from customer health scores and revenue dashboards to
operational metrics of our infrastructure, to helping increase product engagement and user
productivity through natural language understanding, to predictive analytics and causal
inference via experimentation. As our customer base continues to grow, we are looking towards
new ways of leveraging our data to deeper understand our customers’ needs and deliver new
products and features to help continuously improve their customer engagement workflows.
The mission of the Data Science team is to enable such continuous optimization by
reconstructing customer engagement workflows from data, developing metrics to measure the
success and efficiency of these workflows, and providing tools to support the optimization of
these workflows.
As a member of the team, you will work closely with other data scientists, machine learning
engineers, and application engineers to define and implement our strategy to deliver on our
mission.
Your Daily Adventures Will Include:
Our Vision of You:
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.