Senior Data Engineer ( Experience in Python, Snowflake and DBT)
About Outreach
Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
About the Team
Data is at the core of Outreach's strategy. It drives our product and our customers to the highest levels of success. We use it to derive customer health scores and revenue dashboards, monitor operational metrics of our AWS infrastructure, increase product engagement and user productivity through natural language understanding, and power predictive insights 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 Business Systems Data Engineering team is on a mission to bring relevant data to every person at Outreach while advancing the use of data and promoting an insight-centric culture. We are a centralized resource providing a suite of services to Outreach business functions across Finance, Analytics, and Support systems, with data as the critical component to a seamless experience.
About the Team
Data is at the core of Outreach's strategy. It drives our product and our customers to the highest levels of success. We use it to derive customer health scores and revenue dashboards, monitor operational metrics of our AWS infrastructure, increase product engagement and user productivity through natural language understanding, and power predictive insights 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 Business Systems Data Engineering team is on a mission to bring relevant data to every person at Outreach while advancing the use of data and promoting an insight-centric culture. We are a centralized resource providing a suite of services to Outreach business functions across Finance, Analytics, and Support systems, with data as the critical component to a seamless experience.
Why You’ll Love It Here
● Highly competitive salary
● 25 days annual vacation time + sick time and casual leave
● Group medical policy coverage available to employees and up to 5 eligible family members
● OPD benefit covered up to INR 10,000
● Life insurance and personal accident insurance at 3x annual CTC
● 26 weeks of maternity leave pay, and 15 days of paternity leave pay
● Opportunity to be part of company success via the RSU program
● Diversity and inclusion programs that promote employee resource groups like OWN+ (Outreach Women's Network), Adelante (Latinx community), OBX (Outreach Black Connection), Mosaic (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military
● Employee referral bonuses to encourage the addition of great new people to the team
● Fun company and team outings because we play just as hard as we work
Outreach is 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.
