Who we are
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. For more information, visit www.domino.ai
What we are building
Solution Engineers are highly skilled technical professionals possessing an in-depth understanding of Kubernetes, Linux, and Cloud systems. Their expertise extends to the Domino platform, which they leverage to guide and optimize the AI strategies of their customers. These engineers take a holistic approach to their work, recognizing that successful AI implementation goes beyond technical proficiency. They focus on people and processes, collaborating closely with customers to design and implement solutions that align with their unique business needs. This involves a wide range of activities, including the implementation, enhancement, integration, and optimization of Domino deployments. By taking a customer-centric approach and focusing on delivering tangible business value, Solution Engineers play a critical role in ensuring the success of every customer engagement. They are not simply technical implementers, but rather, they are trusted advisors and value creators who help customers navigate the complexities of the AI landscape and achieve their business objectives.
What your impact will be
- Build custom solutions for customers that integrate with Domino to enhance the customer experience. The solutions built should be well documented, tested, and the rest of the PS team should be enabled on the solution.
- Collaborate with the larger Domino team to ensure that the customer's voice is being heard with regards to feature or bug prioritization as well as feedback on the platform
- Create reproducible artifacts that address recurring client needs, enhancing efficiency and consistency in our delivery process. These artifacts should follow best practices, be tested in various scenarios, and have thorough documentation.
- Achieve mastery in at least two specific Domino components, such as Keycloak integration, DMM, DataSources, or Environment builds. This expertise should be demonstrated through successful project implementations, the creation of detailed guides, and readiness to provide consultation to both the team and customers. Aim to become the recognized "go-to" expert in these components within the organization.
- Dedicate time to consistently upgrade skills and knowledge. This includes training in areas such Cloud platforms, Kubernetes and Data Science. The newly acquired skills should not remain theoretical; they should be actively incorporated into client solutions, showcasing the ability to leverage knowledge for project outcomes.
- Regularly solicit feedback from customers regarding the quality, effectiveness, and relevance of solutions delivered. Use this feedback not only as a metric of personal success but also as a means to identify areas of improvement, ensuring that the solutions provided align perfectly with client needs and expectations.
- Lead customer training sessions on Domino platform. Ensure clarity and simplicity when explaining complex ideas, aiming for easy understanding regardless of the audience's tech background. Measure success through improved customer proficiency and positive feedback post-training.
What we look for in this role
- Security Clearance: This position requires an active U.S. Secret Security Clearance (US Citizenship required), with the ability to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance and program access (post start). A U.S. Security Clearance that has been active in the past 24 months is considered active.
- 5+ years of professional experience in technical roles, with a proven track record of delivering results.
- At least 1 year of experience in a client-facing consulting or solution engineering role.
- Excellent interpersonal and communication skills — you’re comfortable engaging with both technical and non-technical stakeholders.
- Hands-on experience working with and troubleshooting distributed computing frameworks like Spark, Hadoop, or Dask.
- Strong DevOps expertise, including experience building, managing, and debugging Kubernetes clusters in production environments.
- Proficiency with cloud platforms such as AWS, Azure, or GCP, as well as familiarity with their managed Kubernetes offerings (EKS, AKS, GKE).
- Solid troubleshooting skills — you’re the person people turn to when things go sideways.
- Programming experience, ideally in Python or R, with the ability to write clean, maintainable code.
What we value
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Compensation Range $200,000—$250,000 USD
Originally posted on Himalayas
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