Full-Time
Product Manager
AI Platform
Updated on 3/14/2025
Anyscale
501-1,000 employees
Platform for scaling AI workloads
Compensation Overview
$180.2k - $214kAnnually
Mid, Senior
Palo Alto, CA, USA + 1 more
More locations: San Francisco, CA, USA
This is a hybrid role, requiring some in-office presence.
- A technical background, with 2+ years of experience in software engineering and 2+ years in product management roles
- Experience with billing and pricing systems including trial programs and product packaging
- Familiarity with enterprise identity models, such as role-based access control, SCIM, and user provisioning
- Proven ability to design customer-centric solutions, especially in onboarding flows, fraud prevention, and organizational embedding of SaaS platforms
- Strong customer-facing experience in a B2B SaaS/PaaS environment, with a focus on addressing enterprise needs
- Exceptional skills in prioritization and execution, particularly in high-impact projects with tight deadlines
- Lead strategic initiatives to enhance the Anyscale Platform, focusing on billing, identity, permissions, onboarding, and fraud detection
- Collaborate with engineering teams to develop scalable, robust infrastructure components such as billing pipelines, marketplace integrations, and advanced user management systems
- Engage with customers and stakeholders to understand pain points and translate them into innovative, value-driven solutions that simplify AI platform operations
- Define and prioritize roadmaps for critical projects, including platform isolation, role-based access control, SCIM provisioning, and onboarding and trial flows
- Optimize the customer journey, ensuring seamless onboarding experiences and implementing fraud detection measures to enable growth-oriented strategies
- Contribute to the evolution of the Anyscale object model, aligning resource hierarchies and identity frameworks to enterprise needs
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 users manage and enhance AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to improve the scalability, latency, and cost-efficiency of their AI operations, with some clients experiencing performance improvements of over 90%. Anyscale serves a range of clients, including major tech companies like OpenAI and Ant Group, who rely on Ray to train large models and enhance their ML platforms. Unlike many competitors, Anyscale focuses on providing a comprehensive solution that integrates seamlessly into existing workflows. The company's goal is to empower organizations to effectively scale their AI initiatives and optimize their operational efficiency.
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
↑ 18%1 year growth
↑ 6%2 year growth
↓ -5%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.”