About the job
Wingman is a product that helps salespeople sell better by using machine-learning to unlock the data hidden in sales conversations.
Wingman was a part of YCombinator, Summer 2019.
It records sales calls and emails, uses machine-learning to identify trends and provide insights.
Sales managers use these insights to:
Wingman's customers are mostly sales teams of tech companies based in the U.S. Thousands of sales people are using Wingman today to get better at selling. Join us today and be a part of building the infrastructure that supports the explosive growth that this space is seeing today.
Wingman uses cutting-edge machine-learning technologies to convert unstructured audio into actionable insights in real-time! Not today.. not tomorrow.. real-time. This involves many challenging problems that require us to be at the forefront of infrastructure architectures and machine learning advancements to "understand" and influence customer conversations. Come talk to us to see what we've built and get a peek into the possibilities beyond.
About the role
This opportunity is for engineers who have experience with Python to design build and maintain our data processing infrastructure. This infrastructure is responsible for processing the audio data both in real-time and in some cases post-call. Designing a system to process data in real-time is complex when your request durations are measured in hours and simple algorithms like round-robin no longer cut it for load balancing. Python is the language of choice when machine learning is key to your data processing. You will be owning [design + build + monitor] infrastructure that uses frameworks like tensorflow / pytorch to build offline and online systems that process audio into actionable insights.
What's in it for you