Senior Sales Engineer, Domino Data Lab
Financial Services, EMEA
Enterprise AI platform
Be an early applicant
Enterprise AI platform
201-500 employees
Be an early applicant
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- 3-5 years of experience in a customer-facing pre-sales or technical role. Preference for candidates who have worked in/sold to the Financial Services industry
- Background in Data Science, with a strong understanding of Financial Services industry trends and use cases
- Experience selling enterprise IT software, with a track record of technical pre-sales success
- Exceptional verbal and written communication skills, with the ability to engage both technical and business audiences
- Strong discovery and pain point identification skills, adept at uncovering customer needs
- Proficiency in coding, preferably with Python
- Experience with common data science libraries, such as PyTorch, TensorFlow, and scikit-learn
- Familiarity with distributed computing frameworks, including Spark, Ray, and Dask
- Comfortable working in Linux environments, with hands-on experience in system navigation and troubleshooting
- Understanding of Kubernetes, Docker, and containerization, with the ability to articulate their value in enterprise environments
What the job involves
- Our Sales Engineering team is at the heart of transforming curiosity into confidence
- We help prospects envision the full potential of our platform, guiding them from discovery to realization
- 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
- 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
- Take technical ownership of opportunities, driving revenue and guiding Enterprise Banking & Insurance prospects through the buyer’s journey
- Deliver compelling demos and hands-on technical workshops to showcase the power of our platform
- Define, execute, and manage proof-of-concepts that highlight our value and address customer needs
- Act as a AIML Subject Matter Expert, providing technical guidance and addressing customer challenges with confidence
- Demonstrate strong objection handling skills and answer common customer questions to build trust and credibility
- Contribute to the Sales Engineering team by creating documentation, refining demo assets, and sharing best practices
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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