Full-Stack Web

Remote, San Francisco, CA, United States, Silicon Valley, CA, United States

VoiceOps


Role Locations

  • Remote
  • San Francisco, CA, United States
  • Silicon Valley, CA, United States

Employees

11 - 25 people

Address

680 8 Th St Unit 202
San Francisco, CA, 94103-4902, US

Tech Stack

  • Ruby on Rails
  • PostgreSQL
  • AWS
  • Python
  • React
  • Go
  • Rust

Role Description

We're looking for a fullstack engineer to join as the fifth member of our engineering team. The role will be a mix of backend (rails, python) and frontend (react), with exposure to devops and machine learning as desired. We prefer candidates with a desire to take end-to-end ownership over projects (i.e. help shape the product direction, work with designers to make UI/UX decisions, and review/distill usage metrics).

VoiceOps is creating the voice AI of the future. We're working towards being able to intricately structure and understand human dialog. Parsing sales conversations, and helping sales leaders use the data to coach, train, and evaluate their team's success is our first step on this huge journey.

About VoiceOps

VoiceOps uses AI to improve call center rep performance with world-class coaching.

Our average customer makes tens of thousands of calls per week. In a world without VoiceOps, they have literally no idea what their sales reps are doing on the phone. It's a total (and scary) black box.

By applying ML and a great UI to this problem, call center leadership has all the data they need about customer conversations at their fingertips, and can coach their reps more effectively and efficiently.

The technical problem is interesting, and gets more interesting as we grow. Our core challenge is how to take billions of audio recordings (and messy, unstructured human conversations) and make sense out of that data in a way that is: a) accurate b) cost efficient, and c) highly scalable. The corresponding product problem is how to take well-structured data and make it actionable for the end-user.

Call center recordings are one of the richest/largest untapped datasets in the world (literally, billions of calls stored in AWS buckets that no one is touching right now). We're going to be the best in the world at structuring that data and putting it to use to make businesses work better.

Company Culture

Every problem is our problem

We do not look to external sources for why we didn't hit a deadline, meet an objective, etc. We hold ourselves responsible.

Intellectually honest and curious

We challenge each other's ideas daily - on product strategy and beyond. At lunch we are more likely to talk philosophy than TV (though we do some of that too)

Emotionally open and vulnerable

We talk about the ups and the downs of our lives outside of work and strive to have high authenticity interactions with each other.

Ambitious

We work hard to be an enduring company that paves the way for all sorts of applications which require structuring verbal conversational data at scale.

High quality bar, and always rising

We redo our work again and again until it's great. (can be frustrating in the moment but is ultimately extremely rewarding when we build things that are greater than we imagined they would be)

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.