Domino Data Lab

πŸ‘₯ 251-500πŸ’° Series F almost 3 years agoArtificial Intelligence (AI)Big DataMachine LearningAnalyticsEnterprise ApplicationsData MiningEnterprise SoftwareSoftwareπŸ’Ό Private Company
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Domino Data Lab empowers data science teams at leading enterprises with its open data science platform. We help organizations manage and scale data science initiatives, accelerating breakthrough research and the delivery of high-impact AI models. Our platform is used by companies like Allstate, Dell Technologies, and Bayer to drive innovation across various sectors, including finance, healthcare, and manufacturing. We're a rapidly growing company with a strong engineering culture focused on building scalable, reliable, and collaborative solutions. Our tech stack includes technologies like Apache, Kubernetes, Docker, AWS, Azure, and various AI/ML frameworks. We prioritize a remote-first work environment, fostering a diverse and inclusive team of highly skilled engineers and data scientists. Our commitment to innovation is reflected in our continued growth and partnerships with leading investors such as Sequoia Capital, Coatue Management, and NVIDIA. Domino's culture values continuous improvement, collaboration, and transparency. We encourage employees to embrace a growth mindset and contribute their unique perspectives. We actively promote professional development and provide opportunities for continuous learning. We are deeply invested in enabling the development and deployment of cutting-edge AI, creating solutions that address some of the world's most critical challenges. With significant funding and a strong track record of success, Domino Data Lab is poised for continued expansion and leadership in the data science space. We offer a dynamic and rewarding work environment for individuals seeking to make a real-world impact through the power of data science and AI.

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πŸ’Έ 165000.0 - 195000.0 USD per year

πŸ” Software Development

  • Experience in relevant tools like HubSpot, Marketo, Salesforce, Google Analytics, Mutiny, Sanity, Vercel, and Google Tag Manager.
  • Front-end web knowledge, including HTML5, JavaScript, React.js, and CSS.
  • Strong project management skills, with experience using Jira to streamline workflows and track progress.
  • SEO knowledge, either owning SEO strategy or closely partnering with teams to implement technical and content optimizations.
  • Startup mindset, with a background in fast-paced environments, ideally focused on enterprise audiences.
  • Proven experience managing contractors and agencies, ensuring projects stay on track, within budget, and aligned with business priorities.
  • Strong leadership skills, able to drive strategic initiatives and collaborate with multiple stakeholders across the organization.
  • Detail-oriented with a bias for action, ensuring follow-through, consistency, and urgency in execution.
  • Data-driven decision-making, using insights to prioritize high-impact initiatives that drive measurable results.
  • Excellent communication skills, both written and verbal, with the ability to convey complex ideas clearly.
  • Champion a customer-first web experience, designing with user needs in mind and showcasing customer success stories in an engaging, inspirational way.
  • Optimize user journeys for key personas, using data-driven insights to tailor content, refine entry points, and improve internal linking strategies.
  • Enhance web performance, focusing on mobile site speed to boost SEO, increase conversions, and improve visitor experience.
  • Redesign high-impact pages to strengthen brand perception and performance.
  • Increase conversion rates through form optimization tactics like progressive profiling, auto-completion, and A/B testing.
  • Streamline content indexing, implementing a crawl budget optimization plan that prioritizes high-value content and improves search visibility.
  • Establish web governance best practices, creating scalable processes to ensure consistency and efficiency across stakeholders.
  • Implement advanced SEO strategies, leveraging structured data and other technical optimizations to align with evolving search trends.
Posted 19 days ago
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πŸ“ United States

πŸ’Έ 194000.0 - 230000.0 USD per year

πŸ” Data Science/AI/ML

  • Deep domain expertise in data science, AI, and ML, with 8+ years of product marketing experience.
  • Proven ability to craft compelling messaging and positioning that resonates with executive buyers and technical audiences in enterprise B2B.
  • Content development expertise, with a track record of creating high-impact materials tailored to different stages of the customer journey.
  • Go-to-market leadership, including experience driving successful product launches and marketing strategies for AI/ML or data platforms.
  • Strong analytical mindset, using data to measure effectiveness and optimize campaigns.
  • Industry influence experience, with a background in thought leadership and analyst relations.
  • Effective stakeholder management, with the ability to lead cross-functional teams and collaborate across product, marketing, and sales.
  • Exceptional communication and presentation skills, with the ability to engage and influence executives and industry leaders.
  • Refine and implement messaging and positioning to resonate with data science leaders and practitioners across all channels, including content, website, and sales materials.
  • Lead integrated platform campaigns, crafting messaging and customer journeys tailored to data science, AI, and GenAI audiences.
  • Develop thought leadership content that establishes Domino as a trusted voice for data science teams and decision-makers.
  • Strengthen industry influence by enhancing Domino’s reputation with key analysts and stakeholders.
  • Drive successful product launches, ensuring new features meet the needs of data science teams and are effectively communicated to the market.

Artificial IntelligenceBusiness IntelligenceMachine LearningProduct ManagementCross-functional Team LeadershipContent creationData scienceCommunication SkillsAnalytical SkillsStakeholder managementData analytics

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πŸ“ US

πŸ’Έ 175000.0 - 215000.0 USD per year

πŸ” Life Sciences

  • 3-5 years of experience in a customer-facing technical role. Preference for candidates who have worked in/sold to the Life Sciences industry.
  • Background in Data Science, with a strong understanding of Life Science 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
  • Take technical ownership of opportunities, driving revenue and guiding Enterprise Life Science 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

AWSDockerPythonSQLKubernetesMachine LearningPyTorchAlgorithmsData scienceData StructuresREST APISparkTensorflowCommunication SkillsAnalytical SkillsLinuxDevOpsSales experienceData visualization

Posted about 1 month ago
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πŸ“ United States, Canada, Argentina

πŸ’Έ 200000.0 - 235000.0 USD per year

πŸ” Software Development

  • Proven experience designing, deploying, and managing Kubernetes clusters and workloads in production environments.
  • Strong proficiency in building reliable, scalable software, preferably in Python or Go.
  • Experience with container technologies such as Docker, containerd, CRI-O, and podman.
  • Hands-on experience designing and operating cloud-based systems on AWS, GCP, or Azure.
  • Familiarity with automation tools like Terraform, CloudFormation, and Helm to streamline infrastructure management.
  • Deep understanding of Linux system internals, including kernel fundamentals and low-level system operations.
  • Strong grasp of distributed computing principles and best practices.
  • Ability to articulate technical concepts, collaborate across teams, and document processes clearly.
  • Capable of working autonomously and driving initiatives to completion.
  • Design and develop software solutions that guide our customers through their full lifecycle, ensuring a seamless and efficient experience.
  • Develop a flexible, scalable, and extensible set of shared services to power our product’s future growth.
  • Improve the developer experience by optimizing processes, automation, and tooling, making it easier to test, deploy, and maintain software.
  • Extend and contribute enhancements to the open-source technologies that form the foundation of our product.
  • Create and communicate well-structured technical designs that align with business objectives and resonate with cross-functional stakeholders.
  • Help fellow engineers deliver high-quality work through thoughtful design and code reviews.
  • Collaborate with product managers to ensure solutions are well-planned, aligned with user needs, and delivered on time.

AWSDockerPythonSoftware DevelopmentCloud ComputingGCPKubernetesSoftware ArchitectureAzureGoCommunication SkillsCI/CDProblem SolvingRESTful APIsLinuxTerraformMicroservicesAnsible

Posted about 2 months ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 175000.0 - 220000.0 USD per year

πŸ” Software Development

  • 5+ years working with AI/ML, data science, and MLOps
  • 5+ years in technical marketing or product marketing
  • Strong communication and storytelling skills
  • Coding experience in Python and R
  • Experience creating technical content
  • Translate complex platform capabilities into engaging content
  • Establish thought leadership in AI/ML trends
  • Deliver hands-on labs, demos, and training sessions
  • Work with product and engineering teams on technical collateral
  • Provide insights on market trends and competitive landscapes

PythonMachine LearningContent creation

Posted about 2 months ago
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πŸ“ US

πŸ’Έ 200000 - 235000 USD per year

πŸ” Enterprise AI

  • 8+ years previously in a software engineering individual contributor role.
  • Strong Background in AI/ML: Extensive experience in designing, building, and deploying AI/ML models.
  • Building Scalable Systems: Hands-on experience in developing high-performance back-end systems in distributed computing environments.
  • Collaboration Across Teams: Experience working closely with cross-functional teams.
  • API Development: Designing secure, scalable APIs (e.g., RESTful APIs, gRPC).
  • Performance Optimization: Profiling and optimizing back-end performance in cloud environments.
  • Testing and CI/CD: Using robust testing frameworks and setting up CI/CD pipelines.
  • Distributed Computing: Experience with frameworks like Apache Spark, Azure ML, or SageMaker is a plus.
  • Cloud Platforms: Proficiency with AWS, Azure, GCP.
  • Collaborate with customers to design solutions for deploying models to platforms like AWS SageMaker and Azure ML.
  • Introduce a 'Data Science Catalog' for discovering and summarizing global data science resources within Domino.
  • Integrate model monitoring to provide a holistic view of deployment health and performance.
  • Enhance tagging capabilities across Domino entities to improve discoverability and tracking.
  • Expand LLM hosting capabilities to address customer needs for scale, performance, and logging.

AWSDockerArtificial IntelligenceGCPKubernetesMachine LearningAlgorithmsAzureData sciencegRPCSparkCollaborationCI/CDRESTful APIs

Posted 4 months ago
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πŸ“ US

🧭 Full-Time

πŸ’Έ 327000 - 400000 USD per year

πŸ” Life Sciences

  • Understanding of the Life Sciences market and how different parts of their business work.
  • Enterprise sales experience in securing complex, multi-million dollar deals.
  • Proven track record of meeting with senior leaders (VP-level) within the Enterprise Life Sciences market.
  • Experience securing $1M+ software contracts.
  • Ability to articulate how complex solutions align with customer initiatives.
  • Experience with finalizing negotiations on complex Enterprise software deals.
  • History of positioning a new solution in an unproven area.
  • Understanding of AI/ML technologies.
  • Prospecting skills using cold-call techniques.
  • Develop deep understanding of accounts, including data science initiatives and key stakeholders.
  • Open and maintain relationships with executives at the Director, Exec Dir, VP and C-level.
  • Uncover opportunities for customer usage of Domino software, set selling strategy and execute sales cycles.
  • Contribute to building Life Sciences pipeline with 2-3 opportunities per account worth $500k-$1M.
  • Close $2.5M+ of new ARR within FY26.
  • Align Domino’s team to the customer’s needs and manage the customer-specific ecosystem.

LeadershipProduct ManagementStrategyData scienceCollaborationNegotiationNegotiation skills

Posted 5 months ago
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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 SolvingComplianceRelationship building

Posted 5 months ago
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