Solutions Engineering (Remote)

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. What we are building

We help prospects envision the full potential of our platform, guiding them from discovery to realization. Working closely with Enterprise Account Executives, our Solutions Engineers craft compelling product demonstrations, design and execute impactful proof-of-concepts, and shape technical strategies that drive successful customer implementations.

As a growing company, our Solutions Engineers play a pivotal role—collaborating across Marketing, Product Management, and Engineering to bridge the gap between market needs and product innovation. If you thrive in an environment where your technical expertise fuels real business impact, and where your insights help shape the future of our platform, you’ll feel right at home here.

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

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

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

High-performing creative individuals who dig into problems and see the opportunities for success

LI-Remote