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
You'll be redirected to Anyscale's career page.
Want to be matched directly?
Join the network