Solutions Architect

100% Remote — US Full-time

Saturn Cloud helps data science and engineering teams build, run, and scale ML/AI and analytics workloads—without the infrastructure headaches. Our platform brings together collaborative development environments, production-grade orchestration, and elastic compute so teams can ship faster and operate reliably.

We’re looking for a Solutions Architect to partner with prospects and customers to design technical solutions, prove value quickly, and help teams succeed from first evaluation through adoption and expansion.

As a Solutions Architect, you’ll be a technical leader in the pre-sales and early post-sales motion—bridging customer needs to Saturn Cloud’s platform and product capabilities.

• Lead technical discovery to understand customer architecture, workflows, stakeholders, and success criteria
• Design end-to-end solutions using Saturn Cloud (work spaces, orchestration, compute, networking, security, observability)
• Deliver compelling demos, workshops, and technical presentations to both technical and executive audiences
• Build proof-of-concepts (POCs) and pilots, define evaluation plans, and guide customers to measurable outcomes
• Collaborate with Sales to craft technical strategy for accounts, including solution proposals and implementation approaches
• Partner with Product and Engineering to communicate field feedback, influence roadmap, and improve onboarding patterns
• Create reusable assets: reference architectures, demo environments, best-practice guides, and enablement materials
• Support customer handoff to Customer Success/Support and stay engaged through early adoption milestones
• Be a trusted technical advisor on scalability, cost optimization, security posture, and production readiness

We’re looking for someone who is both hands-on and consultative—able to implement quickly, communicate clearly, and think in systems.

• 5+ years in Solutions Architecture, Sales Engineering, Technical Consulting, or a similar customer-facing role
• Strong foundations in cloud infrastructure and architecture (AWS, GCP, and/or Azure)
• Practical experience with Python-based data/ML stacks (e.g., Jupyter, pandas, scikit-learn, PyTorch, Tensor Flow)
• Comfort with containers and orchestration concepts (Docker, Kubernetes—direct or adjacent experience)
• Ability to lead technical discovery, articulate tradeoffs, and build customer trust
• Excellent communication skills: can translate between business goals and technical implementation
• US-based and authorized to work in the US

• Experience with distributed compute frameworks (Dask, Ray, Spark)
• Familiarity with MLOps/production ML patterns (model training, deployment, monitoring, feature stores)
• Knowledge of data platforms and tooling (Snowflake, Databricks, dbt, Airflow/Prefect, Kafka)
• Experience with security/compliance requirements (SOC 2, HIPAA, PCI, FedRAMP—any exposure helpful)
• Prior startup experience or experience supporting high-velocity sales cycles

• Remote-first culture with a high-trust, high-ownership environment
• Mission-driven work at the center of modern AI/ML infrastructure
• Competitive compensation, equity, and benefits
• The chance to shape the way customers adopt and scale real production ML systems