Arize AI

AI Solutions Manager, East

Remote (New York)

Sponsorship not specified$140k-$175kDetected 37 days ago

Machine LearningCustomer SuccessOrganizational Skills

About the role

You'll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact.
This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications.
While we are a remote-first company, the nature of this role requires candidates to be based in the New York City metro area/EST time zone.

Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management.
Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
Ensure support teams are aligned with customer requests and priorities.
Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.

3+ years of experience as a Customer Success Manager in SaaS.
A self-starter mindset with the ability to thrive in limited process environments.
Proven ability to demo technical products and translate their value into tailored customer solutions.

Familiarity with AI/ML workflows or GenAI technologies.
Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications.
Arize's mission is to make the world's AI work-and work for people.

The estimated annual salary and variable compensation for this role is between $140,000 to $175,000, plus a competitive equity package.

The estimated annual salary and variable compensation for this role is between $140,000 to $175,000, plus a competitive equity package.
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.
For all other employees, there is a WFH monthly stipend to pay for co-working spaces.
Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
Proactively monitor product usage across your accounts to further gauge account health
Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.

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.
As an AI Solutions Manager, your work will directly contribute to our customers' success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes.
We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our 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.
Run workshops and training sessions with customers during onboarding and new functionality
What We're Looking For
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.

This listing is sourced directly from Arize AI's careers page and normalized into a canonical job model.