Forward Deployed Engineer

Anyscale; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Anyscale is looking for a Forward Deployed Engineer to collaborate with strategic customers, ensuring successful implementation of the Ray platform. You will work onsite, acting as a trusted advisor, and provide impactful solutions tailored to customer needs.

The ideal candidate has fluency in Spanish and English, with over 5 years in customer-facing roles — essential for driving enterprise adoption of complex solutions. This position involves frequent travel and close collaboration with various stakeholders.

Qualifications

• 5+ years of customer-facing experience in relevant fields.
• Fluency in Spanish and English for effective communication.
• Demonstrated ability to translate business needs into technical solutions.

Responsibilities

• Lead proof-of-value engagements with key customers.
• Translate business objectives into impactful technical solutions.
• Act as a trusted advisor ensuring customer confidence in Anyscale.

Skills

Fluency in Spanish and English

Customer-facing experience

Technical foundation with Ray

ML training and inference workloads

Kubernetes knowledge

Enterprise adoption experience

Stakeholder engagement

Customer-first mindset

Job description

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