Customer Success Manager, Domino Data Lab
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
- 3-6 years in a client-facing post-sales role
- Customer Success Manager, Account Manager, Engagement Manager
- Preferably overseeing integration-heavy SaaS/AI platforms
- Experience in relevant products in the market such as Cloudera, Databricks, Sagemaker, Google, SAS or other MLAnalytics Solutions, Docker, Kubernetes
- Multi-tasking: you will manage ~10 accounts, sync with the Digital Experience, PS and Support teams within our org and Sales, Product, Eng etc. for overall customer and company success
- Technical aptitude to understand Domino's portfolio
- Customer management - drive customers through success ensuring retention and expansion
- High level of comfort speaking with executives and procurement at Enterprise companies
- Proven track record of exceeding goals
- Desire to work in a fast-paced, collaborative environment with peers who challenge you to grow
- Bias toward action
- SFDC and CRM tools proficiency
What the job involves
- The Customer Experience organization plays a key role in Domino’s continued growth as a startup and ensuring we help our customers achieve their data science goals
- As a Customer Success Manager (CSM) at Domino, you will be responsible for maintaining and growing relationships with our company's clients. You will serve as the main point of contact for clients, ensuring their needs are met and their expectations are exceeded. Your primary goal will be to maximize client satisfaction, retention, and revenue generation
- Represent Domino during a pivotal period in the customer’s lifecycle; understand and speak to Domino's value proposition in an increasingly competitive and crowded market
- Drive conversations and kick start migration conversations to drive Domino Cloud adoption among VPC and Onprem existing customers
- Work closely with the Scaled CS team to automate CS initiatives and bring a digital experience to listed accounts (roadmap updates, education updates, events, surveys)
- Demonstrate your Domino product expertise and ML Ops / AI knowledge to have meaningful, consultative conversations with customers throughout their renewal process
- Leverage data and insights alongside your understanding of the customer’s goals to prescribe commercial terms that align with the needs of the business
- Identify and secure upsell opportunities where applicable, whether at renewal or mid-cycle
- Partner with the Sales Team to ensure on-time delivery of customer renewals without compromising the customer experience along the way
- Maintain and report an accurate forecast for all renewals in your portfolio
- Communicate to the business risks identified and develop resolution strategies, escalating wherever appropriate
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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