Sales Development Representative

Posted 2 Hours Ago
Be an Early Applicant
Hiring Remotely in USA
Remote
75K-100K Annually
1-3 Years Experience
Artificial Intelligence • Machine Learning
The Role
The Sales Development Representative will prospect, qualify, and generate opportunities to support business growth. Responsibilities include researching accounts, cold calling, utilizing lead generation tools, and partnering with Account Executives to develop plans for acquiring new business.
Summary Generated by Built In

The Opportunity

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.
Arize is the leading AI observability and Evaluation platform to help AI teams discover issues, diagnose problems, and improve the results of their AI Applications. In short: we are here to build world class software that helps make AI applications work better.

The Team

Our engineering team builds systems that interact with some of the most complex software  ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. 

We are looking for a fast-paced Sales Development Representative (SDR) with an entrepreneurial mindset to find new customers and opportunities. You’ll be searching for business while being an engaged member of the AI/ML community. You will prospect, qualify, and generate opportunities to support the overall growth of the business. 

What You’ll Do

    • Research and map prospective new accounts for strategic outreach
    • Cold call and email prospective customers 
    • Utilize lead generation tools such as LinkedIn Sales Navigator, Outreach, ZoomInfo, Dux-Soup, and Salesforce 
    • Partner with Account Executives to generate leads
    • Develop, present and implement plans for acquiring new business and traction in your assigned area

What We’re Looking For

  • Motivated by a career in sales
  • Interested in the tech space
  • A self starter, focused, dynamic, and eager to learn
  • Someone who has excellent written & verbal communication skills 

Bonus Points, But Not Required

  • Previous selling experience 

The estimated annual salary and variable compensation for this role is between $75,000 - $100,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.



More About Arize

Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.

Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c


Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup
The Company
HQ: Berkeley, CA
78 Employees
On-site Workplace

What We Do

The leading machine learning observability platform for ML practitioners to detect and troubleshoot AI/ML model issues

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