Customer Success Manager

Posted 22 Hours Ago
Hiring Remotely in USA
Remote
Mid level
Artificial Intelligence • Machine Learning
The Role
The Customer Success Manager will nurture and grow relationships with Arize customers, drive adoption of AI solutions, manage renewals and upsells, and identify growth opportunities. This role requires collaboration with the Customer Success Engineering team and effective communication to ensure customer satisfaction and healthy account management.
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, client-obsessed Customer Success Manager with an entrepreneurial mindset to nurture and grow new customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. 

What You’ll Do

  • Manage customer relationships and foster adoption and growth of Arize
  • Handle renewal contracts and upsells directly with customers
  • Build relationships with AI/ML users and grow/foster customer adoption
  • Manage an account plan and align the Arize team on how to best drive client health
  • Identify areas of growth and upsell opportunities in account base
  • Demonstrate the product’s capabilities and identify opportunities for training customers
  • Work closely with the Customer Success Engineering team to advise on technical best practices and ensure customer accounts are healthy
  • Conduct discovery with customers and share the Arize vision
  • Prospect wider into customer accounts to drive more adoption
  • Manage customer feature requests and ensure they are relayed to the team in a timely manner 
  • Ensure support is aligned with customer requests
  • Manage and navigate internal / external stakeholders to ensure success
  • Understand use cases, scope licensing and find more workloads

What We’re Looking For

  • 3+ years SaaS sales experience: Hungry, aggressive and motivated 
  • Familiarity or willingness to learn sales technologies to find and attract prospects
  • Worked with customers and have conducted customer renewals
  • Self-starter and comfortable working in limited process environments
  • Full-cycle customer experience and ability to navigate the complexities of customer health
  • Fast-paced and focused on helping customers
  • Ability to demo the Arize platform to showcase the product to customers
  • Team player: Collaboration with peers and other organizations within Arize is critical to success, we deeply value the success of the collective team over individual gains
  • Strong communication skills: Clearly and objectively communicate observations from the field
  • Strong account management skillset 
  • Great organizational skill set and ability to manage multiple customers at once
  • Familiar with SaaS negotiations and contracts

Bonus Points, But Not Required

  • Previous selling experience in 
    • Software Engineering
    • Data Science
    • Machine Learning
  • Eager to learn new technologies in the ML/AI space


The estimated annual salary and variable compensation for this role is between $100,000 to $150,000, 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.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.


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

Top Skills

AI
Machine Learning
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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