Search the 38 jobs at Domino Data Lab

As a new grad software engineer at Domino Data Lab, you will be working alongside talented engineers from all backgrounds. Your responsibilities will include crafting well-tested code, designing and implementing product features, resolving customer issues, and working on small to medium-sized projects. Qualifications include pursuing a Bachelor's or Master's degree in Computer Science, coding experience in an industry-standard programming language, and a solid understanding of computer science fundamentals. Bonus points for prior internship experience and familiarity with Scala, Java, Typescript, React, Angular, Kubernetes, or AWS.

Craft durable, well-tested code with an unwavering commitment to product quality. Work closely with other engineers to design and implement new product features. Partner with product and design teams to iterate on product specifications and design mocks. Be eager and willing to learn new technologies.

As a Senior Software QA Engineer, you will have a direct impact on the quality of our platform used by data scientists. Your responsibilities will include developing and implementing test strategies, creating test plans and test cases, and driving quality through process and testing. You will also collaborate with distributed teams and promote usability best practices to improve user experience. We are looking for someone with at least 5 years of experience in software quality assurance engineering, strong knowledge of QA methodology and industry-standard testing tools, and familiarity with data science workflows and distributed computing.

As the Director of Sales Operations, you will be responsible for developing go-to-market plans, monitoring sales performance, optimizing pipeline generation, improving sales processes, and ensuring data integrity in the CRM. You will also partner with various teams across the organization to support revenue growth and strategic planning.

The Senior Sales Enablement Manager will be responsible for designing and delivering field enablement programs, onboarding training, and sales learning programs. They will collaborate with the sales enablement leader to identify gaps and propose new enablement programs. They will also measure and report on training effectiveness and work closely with sales, marketing, and strategic partners teams.

The Director of Business Intelligence will be responsible for expanding the BI platform and data infrastructure. They will manage a team of BI Engineers, ETL Engineers, and BI Analysts to design, develop, and enhance a scalable BI platform. The role involves collaborating with various functions across the company to define KPIs, provide dashboards for management use, and establish data governance.

The Staff Accountant role at Domino Data Lab has the opportunity to make a tremendous impact on a booming business in a dynamic startup environment through automation and process improvements.

The Senior Manager, Customer Success Operations role at Domino Data Lab involves partnering with Customer Success leaders to define, track, implement, and scale operating plans, processes, metrics, and programs. The manager will also be responsible for monitoring CS execution and performance, managing churn and renewal forecasting processes, and driving process improvements.

Field Engineers are responsible for working with Domino's most strategic customers to ensure their success. They build integrations to support custom/advanced data science workflows and act as advisors to customers on leveraging Domino and data science best practices. They also contribute to the knowledge base and help evolve the way Domino deploys and maintains software.

Field Engineers are an elite team who help data science teams turn their companies into model driven organizations. They train users, advise customers on integration, develop team processes, integrate data sources, and customize tools.

Manage the full portfolio of deployment projects for customer success

The Staff Software Engineer role at Domino Data Lab involves designing and managing Kubernetes clusters and workloads, building production grade software, and working with container technologies and cloud native solutions. The ideal candidate has 10+ years of engineering experience, strong knowledge of distributed systems, and proficiency in Python, Go, Scala, or Java. Bonus points for knowledge of security concerns in cloud and container architectures, functional programming language expertise, and infrastructure automation experience.

Drive employee efficiency through seamless onboarding, application provisioning and management, and offboarding. Your input on processes and automation will help drive employee satisfaction as we grow operations.

As a product management leader for Security at Domino, you’ll drive the innovation around securing data science.

Building partnerships with hiring managers, managing full cycle recruitment, developing diverse sourcing strategies, delivering an awesome candidate experience, establishing a recruiting brand

Senior Software Engineer role at Domino Data Lab focusing on building tools to enhance developer productivity and leading technical projects in a collaborative environment. Must have software development experience, cloud-native systems experience, and expertise in building automated tooling like CI/CD processes.

Field Engineer at Domino responsible for working with strategic customers, building integrations, advising on data science best practices, contributing to knowledge base, and communicating with core development for software deployment. Requires troubleshooting skills, interpersonal communication, system architecture experience, programming knowledge in Python or R, and familiarity with data science workflows, DevOps, data integrations, and distributed computing frameworks.

The Senior Growth Marketing Manager will be responsible for creating and executing ABM campaigns to generate net-new business. They will work closely with sales and marketing teams to drive growth and optimize campaign performance. The role requires a creative, analytical, and detail-oriented individual with at least 5 years of B2B marketing experience.

The Sr. Field Data Scientist at Domino Data Lab will work with customers to design and implement solutions using Domino's product capabilities, APIs, and related technologies. They will also need a strong understanding of the ML and Data Science space, enabling customers to solve their data science problems. Familiarity with Spark, Ray.io, and Dask is also required.

The Partner Solutions Architect will work with partner overlay teams to sell Domino with and through partners to end customers. Responsibilities include technical partner enablement, demonstrating the value of partnerships, developing solution architectures, staying apprised of industry trends, and collaborating with product and engineering teams.