Solutions Engineer

🕒 May 5

🇺🇸 United States – Remote

💵 $200k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Domino Data Lab

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Series F on 2022-06

Artificial Intelligence • Enterprise • SaaS

Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.

📋 Description

• Lead technical evaluations and demonstrations of the Domino platform for Enterprise customers in a multitude of industry verticals • Design and execute proof-of-concept deployments tailored to each customer’s environment and mission needs, showcasing Domino’s integration with their data science workflows and infrastructure • Collaborate with account executives to craft solution architectures that meet industry-specific security and compliance standards (e.g., FedRAMP, IL5) • Develop and maintain reusable demonstration environments and technical assets that accelerate future sales cycles • Drive post-POC adoption readiness by partnering with Customer Success and Solutions Architects to ensure a smooth handoff into deployment • Success will be evident through higher technical win rates, reduced time to close, and increased adoption within key prospect accounts

🎯 Requirements

• Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms. This does not necessarily need to be at a software vendor, equivalent solution engineering tasks internally or as a consultant developer could work • Experience with Enterprise customers, understanding their procurement processes, compliance constraints, and security environments • Track record of leading successful technical evaluations or pilots that resulted in multimillion-dollar enterprise software deals • Experience working in complex IT environments, including hybrid or air-gapped systems • Proficiency in Python, R, and modern data science / machine learning tools • Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS, Azure, GCP), and networking concepts • Understanding of the end-to-end AI lifecycle, from experimentation to production.

🏖️ Benefits

• equity • company bonus or sales commissions/bonuses • 401(k) plan • medical, dental, and vision benefits • wellness stipends.