[Hiring] Solutions Engineer @Domino Data Lab

Role Description

We help F100 Life Sciences organizations envision the full potential of our platform, guiding them from discovery to realization. Our Solutions Engineers craft compelling product demonstrations, design and execute impactful proof-of-concepts, and shape technical strategies that drive successful customer deployments.

• Engage deeply with the technical problems customers are trying to solve — taking the time to genuinely understand their workflows, constraints, and frustrations before proposing anything.
• Design and run hands-on proof-of-concept projects tailored to each customer's environment: model development for drug discovery, clinical analytics pipelines, regulatory submission workflows, omics data processing, and similar use cases.
• Work with account executives to design architectures that address life sciences-specific requirements around data governance, reproducibility, and validation (e.g., 21 CFR Part 11, GxP environments).
• Proactively identify novel use cases within life sciences customers where Domino could create meaningful value.
• Build and maintain reusable technical environments and assets that make future customer engagements faster and more substantive.
• Partner with Customer Success and Solutions Architects to ensure customers who complete a POC are set up to succeed in production.
• Build custom prototypes and applications on top of Domino for customers using AI-assisted coding tools.
• Success is most visible when customers come away from technical engagements with a clear understanding of how Domino solves their problems.

Qualifications

• A technical background — from life sciences or from a general tech/solutions environment.
• Experience working inside a pharma, biotech, CRO, genomics, or medical device organization doing code-first analytical or scientific work, or building and supporting technical solutions at a general technology or software company.
• Working knowledge of at least one life sciences domain — drug discovery, clinical development, computational biology, manufacturing/QC, or regulatory data management.
• Platform or tooling ownership experience — ideally you’ve built, operated, or meaningfully contributed to an internal platform or shared scientific computing environment.
• Experience in a solutions engineering, pre-sales, or customer-facing technical role.
• Led or contributed to technical evaluations, pilots, or proof-of-concepts that drove meaningful adoption or investment decisions.
• Demonstrated ability to build: you’ve written production or near-production code to solve a real scientific or operational problem.
• Proficiency in Python and/or R; hands-on experience with the data science and ML tools used in life sciences technical work.

Requirements

• Experience creating internal tools, pipelines, or applications for scientific teams is a strong signal.

Benefits

• Equity, company bonus or sales commissions/bonuses.
• 401(k) plan.
• Medical, dental, and vision benefits.
• Wellness stipends.

Company Description

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale.