Anyscale Series C

Forward Deployed Engineer

San Francisco, CA On-site $267K–$287K Mid (3-5 yrs) Added Jun 29

About the role

Company Mission: Anyscale commercializes Ray, an open-source distributed computing framework used by companies like OpenAI, Uber, and Spotify to scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Role Overview: The Forward Deployed Engineer partners with strategic customers to achieve business outcomes using Ray and the Anyscale platform. You'll be embedded within customer teams, serving as a technical advisor who aligns solutions with customer priorities and drives adoption. Key Responsibilities: - Lead proof-of-value engagements, deployments, and enterprise adoption onsite with customers - Convert business objectives into technical solutions demonstrating clear ROI - Design and deliver demos, reference architectures, and training programs customized for customer needs - Build trust across organizational levels as a technical advisor - Coordinate with sales, product, and engineering teams to accelerate deals and resolve obstacles - Share customer insights to shape product roadmap and strategy Required Qualifications: - Minimum 5+ years in customer-facing roles (forward deployed engineering, solutions architecture, field engineering, or software engineering) - Strong technical expertise with Ray and real-world application experience - Track record driving enterprise adoption of complex SaaS, infrastructure, or ML/AI solutions - Ability to communicate effectively with both executives and technical contributors - Customer-focused approach with demonstrated measurable business impact delivery - Availability for frequent travel and extended customer site embedments Compensation & Location: $266,970 - $287,043 USD annually. On-site in San Francisco, California. Full-time

Industry

AI Infrastructure / Distributed Computing

Top skills for this role

  • Ray framework and distributed ML/AI infrastructure expertise
  • 2. Enterprise ML/AI customer engagement and proof-of-value delivery
  • 3. Python engineering for production distributed systems

Languages

Python (primary)

Frameworks & tools

Ray frameworkdistributed ML frameworksenterprise deployment tooling

AI / ML skills

Enterprise ML/AI solution design using Rayproof-of-value ML deploymentsdistributed computing and AI infrastructure

Customer skills

Enterprise ML/AI adoption; executive and technical stakeholder engagement; proof-of-value engagements; translating business objectives to technical solutions

Domain knowledge

Distributed computing; ML infrastructure; enterprise SaaS; high-performance computing

Travel: yes
Equity: not specified

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