Sales Development Representative, Arize AI
$75-100k
+ equity
Machine learning observability platform
Job no longer available
Machine learning observability platform
21-100 employees
Job no longer available
$75-100k
+ equity
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- Motivated by a career in sales
- Interested in the tech space
- A self starter, focused, dynamic, and eager to learn
- Someone who has excellent written & verbal communication skills
Desirable
- Previous selling experience
What the job involves
- 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
- We are looking for a fast-paced Sales Development Representative (SDR) with an entrepreneurial mindset to find new customers and opportunities
- You’ll be searching for business while being an engaged member of the AI/ML community
- You will prospect, qualify, and generate opportunities to support the overall growth of the business
- Research and map prospective new accounts for strategic outreach
- Cold call and email prospective customers
- Utilize lead generation tools such as LinkedIn Sales Navigator, Outreach, ZoomInfo, Dux-Soup, and Salesforce
- Partner with Account Executives to generate leads
- Develop, present and implement plans for acquiring new business and traction in your assigned area
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 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
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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