Technical Program Manager at Anyscale

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Machine Learning, Artificial Intelligence, TechnologyIndustries

Requirements

Bachelor’s degree in Computer Science or equivalent technical work experience
5+ years of technical work experience
3+ years of experience with Machine Learning projects & platforms
3+ years of experience with leading commercial cloud provider platforms
Software development experience (ability to build and assess systems/platforms)
Strong communication skills and ability to effectively share work with a broader audience through writing and speaking
Ability to handle multiple competing priorities in a fast-paced environment
Deep understanding of software development in a team, and a track record of shipping software on time
Obsession with contributing to the development of high-performance engineering organizations, detail driven with excellent problem solving abilities

Responsibilities

Help build and ship Commercial / OSS product
Work closely with software development and product teams to deliver high quality, scalable products used by customers around the world
Collaborate with product teams and align stakeholders to assemble project teams, assign responsibilities, identify appropriate resources needed, and develop schedules to ensure timely completion of projects by meeting milestones
Assess risks, anticipate bottlenecks, provide escalation management, make tradeoffs, balance business needs versus technical constraints, and encourage risk taking to maximize business benefit
Work on a diverse technology stack spanning multiple leading commercial cloud providers, big-data solutions, and ML algorithms
Plan requirements, identify risks, manage schedules, and communicate clearly with project stakeholders on complex projects with significant bottom line impact
Span prioritization, planning of projects and features, stakeholder management, tracking of external commitments
Contribute to the organization's technical culture by highlighting and espousing best practices

Skills

Technical Program Management

Stakeholder Management

Risk Assessment

Project Scheduling

Escalation Management

Tradeoff Analysis

ML/AI Products

Software Development Lifecycle

Product Prioritization

Anyscale

Platform for scaling AI workloads

About Anyscale

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 performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. 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 empower organizations to effectively scale their AI workloads and optimize their operations.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$252.5MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Medical, Dental, and Vision insurance

401K retirement savings

Flexible time off

FSA and Commuter benefits

Parental and family leave

Office & phone plan reimbursement

Risks

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.

Differentiation

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.

Upsides

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.

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