Solution Engineer, Domino Data Lab
Public Sector
$155-185k
Enterprise AI platform
Be an early applicant
Enterprise AI platform
201-500 employees
Be an early applicant
$155-185k
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- 5+ years professional experience
- Minimum 1 year experience in a client facing consulting role
- Strong interpersonal and communication skills
- Previous experience working and troubleshooting distributed computing frameworks such as: Spark, Hadoop, Dask, etc
- Experience building, managing, and debugging Kubernetes clusters
- Hand-on troubleshooting skills
- Hands-on DevOps experience with Kubernetes
- Experience with major Cloud platforms (AWS, Azure, GCP)
- Knowledge of managed Kubernetes solutions (EKS, AKS, GKP)
- Programming experience (Python or R preferably)
- 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
What the job involves
- 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
- 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
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it can keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by 2026, Domino Data Lab is making an early start on meeting the needs companies face when scaling data science workloads. It is also addressing the "data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
- Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
- Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
- Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Leadership
Nick Elprin
(Co-Founder & CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Christopher Yang
(Co-Founder & CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates before co-founding Domino Data Lab in 2013.
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