Product Manager - Observability

Anyscale • Palo Alto, CA

2d

About The Position

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
We’re looking for a hands-on Product Manager to lead the Observability experience for the Anyscale Platform. In this role, you’ll build and scale observability solutions for machine learning developers working on workloads at a massive scale. Your work will directly impact our success, accelerate sales deals, and deliver a seamless developer experience across the platform. Help us bring observability to ML developers worldwide at a scale they’ve never seen before.
As part of this role you will;
Drive the Observability Experience: Design and shape our observability stack, turning raw system signals and logs into insights for developers working on large data processing, distributed model training, online serving, and batch inference models at scale
Play in a Big Sandbox: We have tons of insights from customers like Runway and Recursion, and a great playground for experimentation. You’ll take our primitives (and develop novel ones) and apply them to massive ML workloads across many different industries
Collaborate Across Teams: You won’t be on your own. You’ll work closely with our ML Developer Experience (ML DevEx) team and all the Ray workload teams to deliver on the vision
Embrace the Challenge: This is a high-impact opportunity with a mix of proprietary features on the Anyscale platform and adding value to the rapidly growing open-source Ray community

Requirements

• Have a bachelor's or advanced degree in Computer Science, Engineering, or a related technical field
• 3+ years experience as a Machine Learning Engineer or Product Manager in a technology-driven company, with a focus on observability
• Curious and Bold: You thrive in the unknown and love tackling pressing challenges
• Technical Insight: You've worked hands on with a variety of python libraries (NumPy Pandas) and work directly with our customers to debug and optimize their workloads. You understand the intricacies of observability and can translate them into actionable product strategies.
• Customer-Centric: You’re driven by solving real-world pain points and iterating towards the best experience for users

Nice To Haves

• MBA or equivalent business experience is a plus

Responsibilities

• Drive the Observability Experience: Design and shape our observability stack, turning raw system signals and logs into insights for developers working on large data processing, distributed model training, online serving, and batch inference models at scale
• Play in a Big Sandbox: We have tons of insights from customers like Runway and Recursion, and a great playground for experimentation. You’ll take our primitives (and develop novel ones) and apply them to massive ML workloads across many different industries
• Collaborate Across Teams: You won’t be on your own. You’ll work closely with our ML Developer Experience (ML DevEx) team and all the Ray workload teams to deliver on the vision
• Embrace the Challenge: This is a high-impact opportunity with a mix of proprietary features on the Anyscale platform and adding value to the rapidly growing open-source Ray community

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level