AI Solutions Manager, Arize AI
$140-175k
OTE
+ Equity
Machine learning observability platform
Be an early applicant
Machine learning observability platform
21-100 employees
Be an early applicant
$140-175k
OTE
+ Equity
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers
- 3+ years of experience as a Customer Success Manager in SaaS
- A self-starter mindset with the ability to thrive in limited process environments
- Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively
- Strong communication skills for articulating observations and fostering collaboration across teams
- Proven ability to demo technical products and translate their value into tailored customer solutions
- Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results
- A strong team player who values collaboration and collective success
- Bonus: Familiarity with AI/ML workflows or GenAI technologies
What the job involves
- 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 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
- 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
- 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
- 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
- Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions
- Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices
- Run workshops and training sessions with customers during onboarding and new functionality
- Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships
- 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
- Effectively relay customer feature requests to internal teams and advocate for customer needs
- Ensure support teams are aligned with customer requests and priorities
Our take
Machine learning is rapidly becoming a fundamental and mainstream automation tool used across many industries. The issue, however, is that monitoring, assessing, and improving ML models is costly, and especially tricky without monitoring capabilities. It’s created a market demand for ML monitoring tools, and Arize’s platform offers a rich suite of them.
The Arize platform gives developers and operators comprehensive oversight of their models with tools including performance tracing, drift detection, and integration and deployment. This provides a crucial guardrail: as more decision-making is handed over to ML in areas like insurance and loans, poor ML model performance can have a catastrophic effect on both individuals and customers alike.
Remarkably, given this development, ML observability platforms aren’t yet in huge supply. Arize startup rivals like Censius and WhyLabs are making strong headway, but a clear winner has by no means yet emerged. Arize has, however, netted some major customers: Spotify, Instacart, Uber, and P&G are a handful of the major clients that will help it lay a strong foundation in what is anticipated to be a highly lucrative market.
Kirsty
Company Specialist at Welcome to the Jungle
Meet the team
Meet Andy, Product Design Team Lead
Our mission
Collaborate to create functional and innovative design solutions.Insights
23% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2025
$70m
SERIES C
Sep 2022
$38m
SERIES B
Total funding: $131m
Company benefits
- Remote work
- Open PTO policy
- Health, dental, vision insurance
- 401K
- Company wellness days
- Coworking
Company values
- Do > Say - We believe in building, not just talking. Execution matters more than meetings, and progress beats process. Instead of endless debate, we prototype. Instead of bureaucracy, we ship. AI moves fast—so do we.
- N+1 - Good enough isn’t good enough. We believe in continuous improvement—whether it’s improving AI-powered systems, our product, or ourselves, there’s always a better version to build, iterate, and level up.
- Bring Solutions - Spot a problem? Own it. We don’t waste time on complaints or excuses—we focus on fixing, improving, and building. Whether it’s a blocker in a project or a gap in how we work, the expectation is simple: push for a better way forward.
Company HQ
New York, NY 10006
Articles
Leadership
Jason Lopatecki
(Co-Founder & CEO)Previously a System Architect at Calix, before they moved on to found and serve as CSO/CIO at TubeMogul for over a decade.
Aparna Dhinakaran
(Co-Founder & CPO)Has held Software Engineer roles at both Dote and Apple, and worked on Machine Learning at TubeMogul and Uber. Also co-founded and served as CEO at Monitor ML, and is additionally a columnist at Forbes.
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