
201 - 500 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Series F on 2022-06
Artificial Intelligence • Enterprise • SaaS
Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.
🔥 2 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
💰 Account Manager
🦅 H1B Visa Sponsor
👻 Ghost score 11%
Where this job comes from
Posted on Domino Data Lab's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

201 - 500 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 Series F on 2022-06
Artificial Intelligence • Enterprise • SaaS
Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.
• Own the commercial performance, retention, and expansion of a focused portfolio of strategic enterprise customers • Develop multi-year account plans connecting customer priorities, adoption, renewal strategies, and growth opportunities • Build relationships across technical, business, and executive leadership, establishing multiple champions and sponsors • Engage with data scientists, AI/ML engineers, and technical practitioners to understand workflows, challenges, and opportunities for additional value • Understand customer usage, realized value, and requirements for enterprise-wide adoption • Identify and develop expansion opportunities across business units, use cases, and stakeholders • Own renewal strategy and commercial negotiations • Lead complex expansion opportunities from discovery and qualification through negotiation and close • Partner with Customer Success, Solutions Consulting, Professional Services, Product, Partnerships, Legal, and Deal Desk • Maintain account plans, qualified pipeline, accurate forecasts, and visibility into portfolio risks and opportunities • Serve as the commercial point of accountability for customers and ensure coordinated strategic partnership
• 5+ years of experience selling complex enterprise technology solutions, including ownership and growth of existing customer relationships • Demonstrated success retaining and expanding large enterprise customers, including closing seven-figure software transactions • Track record of building multi-year account strategies and creating expansion opportunities • Experience navigating complex organizations, developing executive relationships, and expanding across multiple business units • Technical fluency and curiosity; ability to engage credibly with data scientists, engineers, and technical stakeholders • Strong commercial judgment and experience leading enterprise renewals, negotiations, and expansion opportunities • Ability to understand customer adoption, business priorities, and outcomes and translate them into growth opportunities • Experience with account planning, opportunity qualification, pipeline management, and forecasting • Experience coordinating cross-functional teams to deliver customer outcomes and execute account strategies • Strong communication skills, intellectual curiosity, and comfort operating with autonomy and accountability • Experience with data, analytics, AI, infrastructure, cloud, or other technically complex enterprise platforms is valuable • Experience selling into highly regulated industries, including Life Sciences and Financial Services, is a plus
• Visa sponsorship (including H-1B and other employment-based visa categories) may be available depending on business considerations and role requirements; eligibility assessed individually and not guaranteed • Diverse and inclusive workplace • Environment of teaching and learning • Tools and support needed to be successful in the function and company
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