Domino Data Lab

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πŸ“ United States

πŸ’Έ 230000 - 295000 USD per year

πŸ” Financial Services & Insurance

  • Strategic Thinking: Identify high-impact sales opportunities and industry trends.
  • Relationship Building and Influence: Build strong relationships with internal teams and client stakeholders.
  • Analytical Problem Solving: Dissect complex problems in financial IT ecosystems.
  • Proven Track Record: Experience in solution architecture for financial services.
  • Hands-on AI/ML Development Experience: Previous use of products like Domino for AI/ML development.
  • Direct Client Engagement: Experience working with financial services clients.
  • Technical Sales Strategy Development: Success in developing strategies driving engagement in financial services.
  • Financial Services Knowledge: Understanding of key use cases and regulatory standards.
  • Programming Skills: Proficient in Python, R, SAS or similar programming languages.
  • Technical Architecture Design: Proficiency in designing integrations within financial services environments.
  • Communication and Presentation: Skilled in conveying complex concepts to various stakeholders.
  • Integration and Deployment Tools: Proficient with integration tools and financial technology platforms.

  • Developing Industry-Specific Demos: Design, test, and refine product demos for banking, insurance, and investment use cases.
  • Pioneering Integrations: Identify and implement new integrations with relevant technologies.
  • Crafting Solution Architectures: Develop IT landscape architectures for financial services environments.
  • Gathering Market Insights: Engage with customers to collect feedback and inform product enhancements.
  • Refining Messaging: Collaborate with sales teams to refine messaging and develop targeted sales strategies.

AWSPythonProduct DevelopmentStrategyAzureData scienceCollaborationProblem SolvingCompliance

Posted 2024-11-15
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πŸ“ US

πŸ’Έ 147000 - 175000 USD per year

πŸ” Enterprise AI

  • 3+ years in a client-facing role, such as Customer Success Manager, Account Manager, or Project Manager.
  • Experience in a SaaS/AI environment.
  • Familiarity with ML/Analytics solutions like Cloudera, Databricks, Google, SAS.
  • Technical aptitude to understand Domino's portfolio.
  • High comfort level communicating with executives and procurement offices.
  • Proven track record of exceeding goals.
  • Desire to work in a fast-paced, collaborative environment.
  • Proficiency in SFDC and CRM tools.

  • Represent Domino during a pivotal period in the customer’s lifecycle.
  • Drive conversations to promote Domino Cloud adoption among existing customers.
  • Work closely with the Scaled CS team to automate initiatives.
  • Demonstrate product expertise during customer renewal discussions.
  • Leverage data to align commercial terms with customer goals.
  • Identify and secure upsell opportunities.
  • Collaborate with the Sales Team for timely delivery of renewals.
  • Maintain accurate forecasts for all renewals.
  • Communicate business risks and develop resolution strategies.

DockerProject ManagementKubernetesMachine LearningData scienceGoCommunication SkillsAnalytical SkillsCollaborationProblem SolvingCustomer serviceNegotiationAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationMultitasking

Posted 2024-11-09
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 250000 - 300000 USD per year

πŸ” AI and data science

  • 5+ years of product management experience delivering enterprise software for data scientists or similar personas.
  • Deep involvement in the AI/ML ecosystem and comfortable engaging with the community.
  • Strategic thinker with commercial acumen and focus on business growth.
  • Expertise in data science and AI workflows and ecosystems.
  • High standards for product quality and user experience.
  • Strong technical proficiency with a background in computer science or related field.
  • Intuition for engaging enterprise customers through strong communication skills.

  • Define and execute a product strategy that positions Domino as the leader in helping customers build and operate Generative AI systems.
  • Lead the development of the next generation of MLOps capabilities.
  • Evolve the platform to better support Generative AI models and advanced AI systems.
  • Expand and enhance MLOps capabilities for streamlined AI workflows.
  • Increase integration across the platform to accelerate AI projects.

Machine LearningProduct ManagementStrategyData scienceCommunication SkillsCollaboration

Posted 2024-10-21
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