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.

The Role

Outreach customers complete many meetings with their prospects on a daily basis and could use any help to navigate this complex process. The Conversational Intelligence Team is hiring applied scientists to increase the momentum in this space and enhance Outreach Kaia (Knowledge AI Assistant) to further assist our customers. If you have experience in building Machine Learning and NLP systems, and the passion to deliver high quality products to customers as soon as possible, we’d love to talk to you about this opportunity.

About the Team

On the Conversational Intelligence Team we:

- Own features end-to-end, from the customer need all the way to the back-end implementation

- Are highly collaborative and distribute technical leadership throughout the team

- Do Agile development, with sprints and regular retrospectives

- Function in a highly progressive, quick-iteration environment focused on delivering consistent, incremental customer value

- Have something new to demo every Sprint!

Your Daily Adventures Will Include

• Working with voice streams and real-time transcriptions of voice streams to extract intelligence and actionable insights
• Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs
• Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control
• Working with stakeholders to make sure our customers have the tools they need to be successful on our platform
• Finding quick ways to prototype and test possible solutions to large problems
• Looking up and down the stack for the best return on investment for any given pain point
• Working on one of the most visible parts of Outreach’s product - to both our customers and the rest of our organization

• Experience with implementing machine learning algorithms including natural language processing, text classification, entity recognition and dialog systems
• A strong background in statistics and passion for data are essential for success in this role
• Experience programming in Python, Java or Go or C , along with strong software engineering skills
• Experience with cloud-based service applications
• Familiar with continuous-deployment projects
• Willing to go above and beyond to help other team members
• Ability to prioritize details along a path of iterative delivery
• Ability to quickly ramp up new technologies and start contributing

Why You’ll Love It Here

• Generous medical, dental, and vision coverage for full-time employees and their dependents

• Flexible time off

• 401k to help you save for the future

• Company-organized and personal paid volunteer days to support the community that supports us

• Fun company and team outings (or virtual events these days!) because we play just as hard as we work

• Diversity and inclusion programs that promote employee resource groups like OWN (Outreach Women's Network), AAPI, Rainbow (LGBTQIA ), Gender , LatinX, Black Excellence, Disability Community, and Veterans

• A parental leave program that includes not just extended time off but options for a paid night nurse, gradual return to work, and the Gottman Institute's Bringing Home Baby course for new parents

• Employee referral bonuses to encourage the addition of great new people to the team

• Plus, unlimited snacks and beverages in our kitchen

• 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