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AI Solutions Manager, Digital Native

Arize AI
CompanyArize AI
CategoryData & Analytics
LocationRemote (San Francisco)
RemoteRemote
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
Posted15 Jun 2026
Last verified6 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C  company backed by top-tier investors,   with  over $135M in funding  and a rapidly growing customer base of  150+ leading enterprises and Fortune 500 companies.  Customers like  Booking.com , Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our SMB and Mid-Market 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 San Francisco Bay area. 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.  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 SMB and Mid-Market customers. 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 ensuring your customers are getting value out of the partnership by running effective workshops and enablement sessions, and working with the Solutions Engineering team on complex implementations. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies. What You’ll Do Build and deepen relationships with AI/ML practitioners and executives to foster adoption, uncover new use cases, and drive expanded usage across customer accounts.  Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. Collaborate with technical teams, including Solutions Engineering and Application Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. Run workshops and training sessions with customers during onboarding.  Run business reviews to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. Proactively identify and develop new growth opportunities by analyzing customer usage and targeting high-value needs across your customer base. Own the full expansion and renewal sales cycle across your book of business.  Maintain rigorous hygiene in CRM and internal tooling to support a high-performing revenue team. What We’re Looking For 2+ years of experience as a Customer Success Manager in SaaS. Proven track record of driving expansion and upsell revenue within SMB and Mid-Market accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders. A self-starter and customer-first mindset with the abi