Senior Sales Engineer, Domino Data Lab
Financial Services, EMEA
Enterprise AI platform
Open for applications
Enterprise AI platform
201-500 employees
Open for applications
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- 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
- 5+ years of experience in a customer-facing technical sales role. Preference for candidates who have worked in/sold Enterprise AIML platforms to the Financial Services industry
- Understanding of data science workflows, model governance, and infrastructure in enterprise financial services environments
- Familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and financial compliance standards
- Strong discovery and pain point identification skills, adept at uncovering customer needs
- Proficiency in coding, preferably with Python
- Understanding of Kubernetes, Docker, and containerization, with the ability to articulate their value in enterprise environments
What the job involves
- Working closely with Enterprise Account Executives, our Sales 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 Sales Engineers play a pivotal role beyond just sales—collaborating across Marketing, Product Management, and Engineering to bridge the gap between market needs and product innovation
- Lead technical evaluations, including discovery sessions, customized demos, and proof of concepts for Enterprise Banking & Insurance prospects
- Map business and regulatory requirements to Domino’s platform capabilities in banking, insurance, and capital markets contexts
- Collaborate cross-functionally with Sales, Product, and Field Engineering to drive successful pre-sales outcomes and smooth post-sale transitions
- Act as a AIML Subject Matter Expert, providing technical guidance and addressing customer challenges with confidence
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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