Enterprise Account Executive, Arize AI
$250-300k
+ Equity
Machine learning observability platform
Job no longer available
Machine learning observability platform
21-100 employees
Job no longer available
$250-300k
+ Equity
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- 5+ years enterprise SaaS sales experience: Hungry, aggressive and motivated
- Familiarity or willingness to learn sales technologies to find and attract prospects
- Self-starter and comfortable working in limited process environments
- Full-cycle sales experience and ability to navigate the complexities of enterprise deals
- Fast-paced and focused on helping prospects / 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
Desirable
- Previous selling experience in
- Software Engineering
- Data Science
- Machine Learning
What the job involves
- We are looking for a fast-paced, client-obsessed Account Executive with an entrepreneurial mindset to find, win and grow new customers
- You’ll be searching for business while being an engaged member of the AI/ML community, identifying prospects who will benefit most from our solution
- You’ll accomplish this by running an effective ground-game, talking to AI/ML leaders, identifying opportunities to help and building solutions to help achieve their goals
- You’ll be involved in exciting and complex sales cycles and leverage your business acumen to navigate the intricacies
- Be a networker, seller and closer
- Build relationships with AI/ML stakeholders and be an active member of the community
- Conduct discovery with prospects and share the Arize vision
- Run a sophisticated prospecting strategy to “get the word out” and find deals
- Create sales plays, write talk tracks and strategically identify new business opportunities
- Deeply research accounts, stakeholders and competitors
- Manage proof of concepts, drive adoption and grow accounts
- Manage and navigate internal / external stakeholders to ensure success
- Understand use cases, scope licensing and find more workloads
- BANT or MEDDIC methodology preferred
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
23% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2022
$38m
SERIES B
Sep 2021
$19m
SERIES A
Total funding: $61m
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
Berkeley, CA 94704
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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