Customer Success Manager, Arize AI
$100-150k
Plus equity package
Machine learning observability platform
Be an early applicant
Machine learning observability platform
21-100 employees
Be an early applicant
$100-150k
Plus equity package
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- 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
Desirable
- Previous selling experience in:
- Software Engineering
- Data Science
- Machine Learning
- Eager to learn new technologies in the ML/AI space
What the job involves
- 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
- 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
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
Insights
Company
Funding (last 2 of 3 rounds)
Sep 2022
$38m
SERIES B
Sep 2021
$19m
SERIES A
Total funding: $61m
Company benefits
- Remote work opportunities
Company values
- Integrity - Do what you say, say what you do
- Balance - Hold space for what matters to you
- Candor - Be open, be honest, be constructive
- Humility - Keep a learning mindset
Company HQ
Mill Valley, CA
Articles
Leadership
Jason Lopatecki
(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
(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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