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.

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.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the role:

As a Forward Deployed Engineer at Anyscale, you will partner directly with our most strategic customers, including Spanish-speaking customers across Latin America and other regions, to ensure they achieve meaningful business outcomes with Ray and the Anyscale platform. Embedded within customer teams, you’ll act as a trusted advisor, aligning technical solutions with customer priorities, accelerating time-to-value, and driving adoption at scale.

You’ll work across customer organizations — from technical leadership to individual contributors — to scope and deliver impactful solutions. By connecting insights from the field back to our product and engineering teams, you’ll help shape Anyscale’s roadmap and ensure we remain focused on solving our customers’ most critical challenges.

In this role, you will:

• Work onsite with key customers to lead proof-of-value engagements, deployments, and enterprise adoption

• Translate business objectives into technical solutions that demonstrate clear ROI and strategic impact

• Build and deliver high-impact demos, reference architectures, and enablement programs tailored to customer needs

• Act as a trusted advisor across all levels of the organization, ensuring confidence in Anyscale and Ray

• Collaborate closely with sales, product, and engineering to accelerate deals, unblock challenges, and drive long-term success

• Provide structured feedback from customer engagements to influence product direction and go-to-market strategy

   

We’d love to hear from you if you have:

• Fluency in Spanish and English is required, with the ability to work directly with Spanish-speaking technical and executive stakeholders

• 5+ years of customer-facing experience in forward deployed engineering, solutions architecture, field engineering, or software engineering

• Strong technical foundation with Ray, or the demonstrated ability to ramp quickly and apply Ray to real-world use cases

• Hands-on experience with ML training and inference workloads, including distributed training, model serving, and the performance and cost tradeoffs involved

• Working knowledge of Kubernetes and container orchestration, including deploying and operating workloads in Kubernetes-based environments

• Proven success driving enterprise adoption of complex SaaS, infrastructure, or ML/AI solutions

• Experience engaging both executive and technical stakeholders, tailoring communication to each audience

• A customer-first mindset with a track record of delivering measurable business impact

• Willingness to travel frequently and spend extended time embedded with customers

The Anyscale Technical Program Management (TPM) team is expected to play a critical role executing high impact programs while continuously improving processes to sustainably grow and increase the effectiveness of the Tech organization spanning Design, Engineering and Product teams.

As a Technical Program Manager focused on Anyscale’s core product solution, you’ll help lead complex application development in service of enhancing our product platform. In this role, you'll support and help scale the technical solutions that make Anyscale’s products and services possible. As part of the overall development life cycle you’ll plan requirements, identify risks, manage schedules, and communicate clearly with project stakeholders on complex projects with significant bottom line impact.

Your Program management contributions will span prioritization, planning of projects and features, stakeholder management, tracking of external commitments while contributing to the organization's technical culture by highlighting and espousing best practices. You’ll learn and grow alongside talented teammates who share your commitment to excellence and appetite for innovative problem-solving. This is a rare opportunity to join in the leadership of a team that will be responsible for building a successful commercial ML/AI oriented solution from the ground up!

As part of this role, you will:

• Help us build, track and ship our Commercial / OSS product

• Will work closely with the software development and product teams to deliver high quality, scalable products used by customers around the world

• Collaborate with the product teams and align all the stakeholders to assemble project teams, assign responsibilities, identify appropriate resources needed, and develop schedules to ensure timely completion of projects by meeting project milestones

• Assess risks, anticipate bottlenecks, provide escalation management, make tradeoffs, balance the business needs versus technical constraints and encourage risk taking behavior to maximize business benefit

• Work on a diverse technology stack spanning multiple leading commercial cloud providers, big-data solutions and ML algorithms

• Track programs that span multi-team and run weekly program reviews for leadership team.

We'd love to hear from you if you have:

• Bachelor’s degree in Engineering or equivalent technical work experience

• 6+ years of technical work experience

• 3+ years of experience with Machine Learning projects & cloud platforms

• 3+ years of experience with leading enterprise SaaS organization

• Strong communication skills and can effectively share your work with a broader audience through writing and speaking

• Ability to handle multiple competing priorities in a fast-paced environment

• A deep understanding of software development in a team, and a track record of shipping software on time

• An obsession with contributing to the development of high-performance engineering organizations, are detail driven with excellent problem solving abilities

About Anyscale:

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.

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.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the role:

Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray’s usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray’s Datasets library and data processing capabilities in general.

About the Ray Data team:

The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon, and ML pipeline at Alibaba). Ray Datasets is a Python library built on top of Apache Arrow and Ray Core (Ray’s C++ backend), and the Ray Data team interacts closely with Ray Core components including the scheduler and the memory & I/O subsystems. The Ray Data team also works closely with Ray’s ML libraries including Train, RLlib, and Serve.

A snapshot of projects you will work on:

- Performance of Ray Datasets at large scale (leveraging Arrow primitives, optimizing Ray object manager, etc.)

- Integration with ML training and data sources

- Stability and stress testing infrastructure

- Lead future work integrating streaming workloads into Ray such as Beam on Ray

- Differentiate Data operations in Anyscale hosted Ray service

As part of this role, you will:

• Develop high quality open source software to simplify distributed programming (Ray)

• Identify, implement, and evaluate architectural improvements to Ray core and Datasets

• Improve the testing process for Ray to make releases as smooth as possible

• Communicate your work to a broader audience through talks, tutorials, and blog posts

We'd love to hear from you if have:

• At least 5 years of relevant work experience

• Solid background in algorithms, data structures, system design

• Experience in building scalable and fault-tolerant distributed systems

• Experience with data processing, database internals including Spark or Dask (streaming is a plus)

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.