The Opportunity
AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.
Arize is the leading AI observability and Evaluation platform to help AI teams discover issues, diagnose problems, and improve the results of their AI Applications. In short: we are here to build world class software that helps make AI applications work better.
This role will focus on our LLM product : Evals, tracing, and building workflows for AI engineers to go from development to production. You'll also be working closely (or within) our Core Product, Copilot and Open Source teams.
The Team
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.
What You’ll Do
- 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.
What We’re Looking For
- 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.
Bonus Points, But Not Required
- Previous engineering and/or tech lead experience
- Experience in API design
- Early startup experience
- Experience working with Figma or similar design tools
The estimated annual salary for this role is between $100,000 - $185,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
More About Arize
Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.
Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
- Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
- Culturally conscious events such as LGBTQ trivia during pride month
- We have an active Lady Arizers subgroup
Top Skills
What We Do
The leading machine learning observability platform for ML practitioners to detect and troubleshoot AI/ML model issues
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