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