
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.
🔥 0 minutes ago
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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 pre-sales as a function by setting and enforcing standards for opportunity qualification, POC scoping, and SE engagement • Push back on deals, scopes, or timelines that do not meet the required bar • Coach and develop the Solutions Engineering team with specific feedback on technical approach, deal strategy, and customer needs • Evaluate architecture, POC design, and technical claims for validity in AI/ML delivery • Partner with GVPs and account teams to shape the qualification, resourcing, and execution of $5M+ enterprise deals • Build the operating rhythm for pre-sales, including capacity allocation, opportunity prioritization, and recurring cadence • Recruit and build the pre-sales team as the organization scales • Assess deal quality and provide recommendations on opportunity value
• 8+ years in enterprise, solution-selling pre-sales or sales engineering • Direct experience with complex $5M+ enterprise deals • Required experience building, coaching, and managing a technical or pre-sales team • Ability to define and enforce operational processes • Ability to engage credibly and assertively with GVPs and enterprise sellers • Technical fluency in AI/ML delivery, including architecture, POC design, and technical claims • Strong judgment in opportunity qualification, technical fit, and deal health • Comfortable with travel and heavy customer-facing time • East Coast location preferred • No vertical expertise required
• Travel and heavy customer-facing time • Environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company • Encouragement of applicants from all backgrounds, genders, ethnicities, abilities, and sexual orientations
Apply Now🔥 35 minutes ago
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