AI Product Manager, Arize AI
LLM
$100-185k
+ Equity
Machine learning observability platform
Open for applications
Machine learning observability platform
21-100 employees
Open for applications
$100-185k
+ Equity
21-100 employees
Company mission
To make the world’s AI work and work for the people.
Role
Who you are
- 2-3+ years of relevant product management experience or previous AI/ML experience with strong product ownership
- Strong track record of building in a technical domain while shipping quickly and efficiently
- Willingness to get your hands dirty with code!
- Experience and/or knowledge of working within machine learning, or data platforms and infrastructure
- Experience working directly with customers and promoting community discussions in order to gather client feedback
- Experience driving data-informed product strategy into production
Desirable
- Previous engineering and/or tech lead experience
- Experience in API design
- Early startup experience
- Experience working with Figma or similar design tools
What the job involves
- Our team is working to define the “canonical stack” for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way.
- The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale.
- Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry
- You will be owning, strategizing, and developing a large portion of Arize AI’s core product roadmap
- From ideation to creation, you will be involved in all stages of the product life cycle
- You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product
- You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production
- You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements
- Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI’s main product offering
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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