Applied Science Manager, Conversational Intelligence

The Role

We are the Conversational Intelligence Team, and we are on a mission to build the most helpful and sophisticated AI assistant for our Outreach customers. Our product, Outreach Kaia (Knowledge AI Assistant) helps our customers both during and after their meetings to be more productive across all their prospects. As a 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

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!

• 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

• 8+ years of experience with implementing machine learning algorithms including: natural language processing, large language models, generative AI, 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
• Experience with data and model pipelines
• 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