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