Applied NLP Engineer

Reposted 16 Days Ago
Be an Early Applicant
Santa Barbara, CA, USA
In-Office
160K-220K Annually
Junior
Artificial Intelligence • Software
The Role
As an Applied NLP Engineer, you'll build customer-facing NLP solutions, understand client needs, and develop features to enhance actionable insights from feedback.
Summary Generated by Built In

Do you love to build? Are you one of the most ambitious people you know? If so, you'll be right at home at Unwrap.

We are seeking an Applied NLP Engineer who has a specific interest in building customer-facing technology for extracting actionable insights from large scale customer feedback. Our customers are some of the world's best companies, from Github to Stripe to Oura to Microsoft. These teams rely on Unwrap to analyze millions of pieces of customer feedback and inform them where they need to focus.

You’ll own and deliver major customer-facing solutions end-to-end. This includes understanding customer needs, helping compile sprint requirements, and ultimately shipping core NLP features. You’ll get exposure to all aspects of the company, from sales to marketing to customer success, but you’d focus primarily on designing and building NLP features that drive the product and the insights we deliver forward.

This is an in-person role in beautiful Santa Barbara, CA. Our office is downtown, walking distance to great restaurants, coffee shops, and the beach.

Who We Are

Unwrap.ai is on a mission to fill the world with products people love. We’re helping companies like Lyft, Stripe, Oura, Microsoft, Perplexity, and Github collect and process feedback more effectively. We ingest feedback from thousands of sources (support channels, surveys, social), and use state-of-the-art NLP technology to extract actionable insights for customers across software, hardware, and retail sectors.

We’re currently a team of 20, based in Santa Barbara, and growing quickly. We are venture-backed, and just raised our $12M Series A from world-leading VCs.
Our founders, two ex-Amazon Alexa Product Managers, were tired of manually sifting through customer reviews, support tickets, and bugs while working on Alexa. They understood the importance of listening to customers and prioritizing their requests effectively, but simply had too much feedback to parse through. So, Unwrap.ai was born to solve this problem. Specifically, at Unwrap we use Natural Language Processing to automatically cluster, tag, and analyze customer feedback to help product and engineering teams build what customers want. The ultimate goal is to better connect users and builders, so builders can fill the world with products people love.
Our small team is extremely motivated, hard-working, and simply gets stuff done. If this sounds exciting, we can't wait to read your application.

What You Bring

  • You have 2+ years experience building real-world NLP solutions

  • You pride yourself on developing high quality product that solve real customer problems.

  • You are first and foremost a builder and are excited about the idea of spending 80%+ of your time actively developing software.

  • You own what you build and take pride in shipping robust high quality software.

  • You're not afraid of ambiguous product requirements.

  • You're comfortable meeting with customers.

What You Get

  • Ground floor impact at an early-stage startup with tremendous latitude over technical strategy and approach

  • Significant, potentially life-changing equity

  • Report directly to a founder of the company

  • Ability to rapidly advance your career alongside company growth

  • Collaborate with experienced teammates, entrepreneurs, and advisors

  • Work directly with enterprise customers to ideate and develop solutions

Top Skills

Natural Language Processing
Software Development
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The Company
Santa Barbara, , California
23 Employees
Year Founded: 2022

What We Do

We help product and CX leaders better understand their customers with less effort. Our AI organizes and analyzes user feedback so you can build extraordinary products. Automatically integrate and consolidate feedback from wherever users prefer to get in touch. Then get actionable insights through automatic categorization, actionable alerts, powerful dashboards, and anomaly detection

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