Full-Time
Product Manager
Infrastructure
Confirmed live in the last 24 hours
Anyscale
501-1,000 employees
Platform for scaling AI workloads
Compensation Overview
$178.5k - $223.3kAnnually
Mid, Senior
Palo Alto, CA, USA + 1 more
More locations: San Francisco, CA, USA
This is a hybrid position, requiring in-office attendance.
You match the following Anyscale's candidate preferences
Employers are more likely to interview you if you match these preferences:
- Engineering background, with 2+ years of experience as a SWE and 2+ years in Product Management
- Proven cloud experience, data analytics proficiency, and data pipeline expertise
- Experience with Kubernetes
- Ability to define robust security models
- Customer-facing experience in a B2B SaaS/PaaS setting
- Lead and shape core components of our infrastructure, spanning complex security systems, billing frameworks, and platform reliability
- Collaborate with engineers to build scalable systems and novel control solutions that customers and internal teams interact with daily
- Engage with customers to understand their pain points and deliver value, becoming a hero to both clients and internal stakeholders
- Dive deep into the technical details of our infrastructure stack, mastering its intricacies to make data-driven decisions
Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the scalability, latency, and cost-efficiency of their AI operations, with some users reporting improvements of over 90% in these areas. Anyscale's clients include major tech companies like OpenAI and Ant Group, who utilize Ray to train large models and improve their ML platforms. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to provide a valuable tool that enables organizations to efficiently scale their AI workloads and optimize their operations.
Company Size
501-1,000
Company Stage
Series C
Total Funding
$252.5M
Headquarters
San Francisco, California
Founded
2019
Simplify's Take
What believers are saying
- Anyscale's $100M Series C funding indicates strong investor confidence and growth potential.
- Partnership with Nvidia enhances performance and cost-efficiency for AI deployments.
- Anyscale Endpoints offers 10X cost-efficiency for popular open-source LLMs.
What critics are saying
- ShadowRay vulnerability in Ray framework poses significant security risk with no patch.
- OctoML's OctoAI service increases competition in AI infrastructure market.
- Dependency on Nvidia's technology could be risky if Nvidia faces issues.
What makes Anyscale unique
- Anyscale's Ray framework scales AI applications from laptops to cloud seamlessly.
- Ray is widely used in Generative AI, LLMs, and computer vision fields.
- Anyscale's SaaS model provides recurring revenue through subscription fees for Ray platform.
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Benefits
Medical, Dental, and Vision insurance
401K retirement savings
Flexible time off
FSA and Commuter benefits
Parental and family leave
Office & phone plan reimbursement
Growth & Insights and Company News
6 month growth
↑ 8%1 year growth
↑ 0%2 year growth
↓ -13%This partnership allows organizations to effectively manage and scale their ML workflows by integrating Astronomer's workflow management capabilities with Anyscale's distributed computing power.
Anyscale unveils new products and AI Platform enhancements at Ray Summit 2024.
SAN FRANCISCO, July 31, 2024 (GLOBE NEWSWIRE) - Anyscale, the company behind Ray, the open source framework for scalable AI, named industry veteran Keerti Melkote as chief executive officer following a year of 4x revenue growth and explosive open source adoption.
Anyscale and deepsense.ai develop a scalable cross-modal image retrieval system for e-commerce.
Join us in Atlanta on April 10th and explore the landscape of security workforce. We will explore the vision, benefits, and use cases of AI for security teams. Request an invite here. Thousands of companies use the Ray framework to scale and run highly complex, compute-intensive AI workloads — in fact, you’d be hard-pressed to find a large language model (LLM) that hasn’t been built on Ray. Those workloads contain loads of sensitive data, which, researchers have found, could be highly exposed through a critical vulnerability (CVE) in the open-source unified compute framework. For the last seven months, this flaw has allowed attackers to exploit thousands of companies’ AI production workloads, computing power, credentials, passwords, keys, tokens and “a trove” of other sensitive information, according to new research from Oligo Security. The vulnerability is under dispute — meaning that it is not considered a risk and has no patch. This makes it a “shadow vulnerability,” or one that doesn’t appear in scans. Fittingly, researchers have dubbed it “ShadowRay.”