Full-Time

Account Executive

Confirmed live in the last 24 hours

Slang.ai

Slang.ai

51-200 employees

AI-powered 24/7 call answering service

AI & Machine Learning

Compensation Overview

$75k - $100kAnnually

Mid

New York, NY, USA

Hybrid position based in New York, requiring in-office presence.

Category
Field Sales
Sales & Account Management
Required Skills
Sales
Requirements
  • 3+ years of sales experience with a proven track record of exceeding targets.
  • Described by others as a self starter, hunter, closer, clever, charming, and kind.
  • Thrives in a fast-paced and ever-evolving startup environment and excels under pressure.
  • Open to feedback, self-motivated, and innovative in your approach.
  • Strong in both written and verbal communication, a good listener, assertive, persistent, and persuasive, with a high EQ.
  • Experience in SaaS or hospitality (Hotels or restaurants) is a plus.
Responsibilities
  • Proactively prospecting and closing new business opportunities.
  • Using your questioning and listening skills to distill client needs and demonstrate how Slang.ai could meet those needs.
  • Expanding both existing and new market segments strategically.
  • Managing your sales pipeline to ensure quality multi-threading with key stakeholders, driving urgency of purchase, and navigating the buying process to ensure a predictable and steady flow of closed deals.
  • Working closely with the Onboarding and Account Management teams to ensure smooth customer onboarding and expansion of existing accounts you have worked with.
  • Consistently achieving and surpassing monthly sales quotas and weekly top-of-funnel metrics.

Slang.ai provides an AI-powered call answering service designed to help businesses manage customer calls more effectively. This service operates 24/7, ensuring that no calls go unanswered, which is especially useful for businesses with high call volumes, such as restaurants and hospitality groups. The system works by utilizing artificial intelligence to handle incoming calls, allowing businesses to maintain customer service even when staff are busy. Slang.ai differentiates itself from competitors by offering a seamless onboarding process and a user-friendly interface, making it easy for new clients to adopt the service. The company's goal is to save businesses time, enhance customer service, and increase revenue by ensuring that every call is answered.

Company Stage

Series A

Total Funding

$20.2M

Headquarters

New York City, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

43%

2 year growth

366%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $20 million Series A funding round led by Homebrew, with participation from notable investors, provides strong financial backing for growth and innovation.
  • Slang.ai's AI technology can significantly improve customer service and operational efficiency for businesses, potentially leading to increased revenue and customer satisfaction.
  • The launch of comprehensive guides for restaurants demonstrates Slang.ai's commitment to educating and empowering its clients, which can enhance customer loyalty and market penetration.

What critics are saying

  • The competitive landscape in AI and customer service technology is intense, requiring Slang.ai to continuously innovate to maintain its edge.
  • Reliance on high-volume call industries like restaurants and hospitality could make Slang.ai vulnerable to sector-specific downturns.

What makes Slang.ai unique

  • Slang.ai's focus on AI-powered call answering specifically for high-volume call industries like restaurants and hospitality sets it apart from more generalized AI service providers.
  • The seamless onboarding process and user-friendly interface make Slang.ai accessible to businesses that may not have extensive technical expertise, a significant advantage in the competitive AI market.
  • Their subscription-based model ensures a steady revenue stream, allowing for continuous improvements and customer support, unlike competitors with less predictable income.

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