Machine Learning Engineer Practitioner at VoiceOps

San Francisco · Full Time
VoiceOps is the #1 AI platform for analyzing enterprise voice. Read More
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Job Description

You’ll get to work with our massive dataset of perfectly transcribed and perfectly labeled human conversations and think deeply about how to get the most value out of it for our users. You’ll get to build features that our customers directly interact with every day, so if you’re looking for research-based roles, this is not a role for you.

Some projects you'd get to work on:
- optimizing our transcription engine efficiency
- figuring out which insights from calls are the most important to our users
- capturing customers’ objections on the call, etc.

You’ll get to make lots of product decisions that define our roadmap and experience first hand how your work is impacting our users.
You’ll be on of the first few employees and eventually will help lead the growing team.
You’ll get to start projects from scratch, design, implement, ship it to users, get their direct feedback, and iterate from there.
You’ll work very closely with the rest of our small but fast growing team.

Here's a sneak peek into our engineering culture: https://www.keyvalues.com/voiceops

To apply please include a few examples of your code, reach out here directly or to jobs@voiceops.com.

Apply Now

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What We're Building

VoiceOps is the #1 AI platform for analyzing enterprise voice.

The richest data source about customers —their conversations— is the least accessible. Managers spend 20+ hours a week shadowing calls and reps spend 10+ hours a week updating their CRM. Our product analyzes the content of conversations and generates actionable insights that automate 100's of hours of manual monitoring and QA so that customer teams can do what they’re best at - serving their customers.

Our customers are some of the largest teams in the US that are using VoiceOps for data-driven coaching and monitoring. We’ve raised funding from Accel, Founders Fund, Lowercase, and went through Y Combinator. Our team has been featured on Forbes 30 Under 30, highlighted by Inc., Business Insider, Huffington Post, Venture Beat, TechCrunch, and others. Members of our team went to Harvard, Yale, and worked at Google, LinkedIn, Amazon, Uber, Twitch, and others. We’re growing fast and are hiring to build a world-class team.

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Other Jobs at VoiceOps

VoiceOps Team

Ethan Barhydt
Cofounder and COO of VoiceOps. Previously raised seed rounds for 2 startups, worked at General Assembly. Harvard '14.
Nate Becker
Co-founder @VoiceOps • Founder @Quantile • Worked at @LinkedIn • Studied at @Yale University
Caleb Ontiveros
Frontend Software Engineer.
Tate Thurston
Product-minded, full stack software engineer with 4+ years of experience working with Bay Area startups.
Maxx Reiner
Business Development @VoiceOps Formerly Project Management & Business Analyst @JPMorgan Chase.
Paolo Roxas
Software Engineer at VoiceOps. I work with React, Angular, Node/Express, MongoDB, MySQL, Cassandra, AWS EC2, Docker. Went to Yale Univ.

VoiceOps Investors

Sriram Krishnan
SVP Headspin. Ex Spotify, Tinder. I help outstanding talent, teams & companies scale. Investor in Outdoor Voices, mParticle, Akash Systems, Sun Basket and more.
Anthony Pompliano
Managing Partner at Full Tilt Capital. Former @Facebook @Snapchat @DigaForce (acq '13)
Matt Mazzeo
Partner at Coatue Management Previously: Managing Director at Lowercase Capital
Erik Torenberg
Co-founder Village Global (www.villageglobal.vc), Token Daily (www.tokendaily.co), On Deck (beondeck.co) previously Founding Team @Product Hunt, @Rapt.fm
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