h2o.ai

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit www.h2o.ai. About This Opportunity H2O.ai is seeking a Vice President of Partnerships, North America to build and scale a high-impact partner ecosystem that accelerates enterprise and public sector growth. This role owns the North America partner strategy, execution, and revenue outcomes across hyperscalers, OEMs, data platforms, GSIs, distributors, resellers, and services partners. This position will report directly to the President and CRO. This remote position may be based anywhere in the U.S. Travel required about 50%. What You Will Do Partner Strategy & Revenue Ownership - Define and execute the North America partner strategy aligned with company growth objectives - Own partner-sourced and partner-influenced revenue targets - Establish partner segmentation, investment models, and success metrics Hyperscaler & Cloud Alliances - Lead executive relationships and joint business planning with AWS, Microsoft Azure, Google Cloud, and Oracle Cloud - Drive co-sell motions, marketplace initiatives, and field alignment Data & AI Platform Alliances - Own strategic partnerships with Snowflake and Databricks, including joint solutions, reference architectures, and co-sell execution - Enable field alignment and joint value propositions across enterprise analytics, AI, and GenAI workloads OEM & Technology Partnerships - Lead strategic partnerships with NVIDIA and Dell Technologies, including joint GTM execution and field enablement - Partner with product and engineering teams on integrations and solution validation GSI & Services Partners - Build and scale relationships with GSIs and leading consulting firms to drive enterprise and public sector adoption - Enable services-led delivery models that create durable platform pull-through Reseller, Distribution & Public Sector Channel - Scale the reseller and distributor ecosystem, including Carahsoft, regional VARs, and boutique AI services partners - Support partner success across public sector and regulated industries Field Alignment & Operations - Align partner sales teams with H2O.ai sales through joint planning, pipeline reviews, and deal governance - Design and operationalize partner programs, incentives, and lifecycle management - Own partner systems, processes, and reporting, including Salesforce and CRM integrations What We Are Looking For Experience - 10–15+ years leading enterprise technology partnerships in Cloud, AI, SaaS, or data platforms - Proven experience with hyperscalers (AWS, Azure, GCP, Oracle), data platforms (Snowflake, Databricks), OEMs (NVIDIA, Dell), and GSIs - Demonstrated success building reseller and distribution models, including Carahsoft - Track record scaling partner organizations from early-stage revenue to multi-million-dollar impact Leadership & Execution - Builder mindset with the ability to operate strategically and hands-on - Strong channel sales operations and program design expertise - Executive presence with excellent negotiation and communication skills Technical & Market Acumen - Solid understanding of Cloud, AI/ML, and enterprise data ecosystems - Ability to translate technical capabilities into compelling partner value propositions Why H2O.ai? - Market leader in total rewards - Remote-friendly culture - Flexible working environment - Be part of a world-class team - Career growth H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. #LI-Remote

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit www.h2o.ai. About This Opportunity We are seeking a detail-oriented, hands-on Technical Accounting & Revenue Accounting Manager to lead revenue recognition and other technical accounting assessments for our growing, global business. You will partner closely with Sales, Legal, FP&A, and external auditors to ensure accurate contract reviews, proper revenue treatment, and strong internal controls, and will serve as a key point of contact for technical accounting positions and audit support. This role is ideal for a finance professional who thrives in a fast-paced, international environment and is excited to help build and scale revenue and technical accounting processes in a high-growth AI company. This is a remote position based in the United States, with a preference for candidates in the PST time zone. What You Will Do Revenue Recognition - Own the end-to-end revenue recognition process, including ensuring revenue recognition adherence under ASC 606. - Partner with sales operations and the general accounting team to manage invoicing and deferred revenue recognition. - Lead month-end close activities including revenue-related journal entries, reconciliations and internal and external reporting. - Collaborate cross-functionally with Sales, Legal, Finance, Accounting, and Operations to evaluate contracts and revenue implications, including explaining the accounting implication. - Maintaining audit readiness through solid technical accounting and documentation and internal controls. - Leverage systems including SAP S/4Hana and Salesforce to continue to streamline the automation and improve revenue processes. - Opportunities to lead the global external audit process, depending on experience. Other Technical Accounting and Audit - Lead technical accounting assessments for all other complex areas including commissions, lease, and equity accounting. - Support the Corporate Consolidated audit in the preparation of the financial statements and related notes to ensure compliance with U.S.GAAP. - Opportunities to lead and project manage other special projects. What We Are Looking For - 8+ years of revenue accounting experience, in an enterprise software company (“B2B” with license (“on premise”) and subscription revenue - Proven experience with ASC 606, ASC 340 and other technical accounting areas under US GAAP - Public accounting (Big 4 or similar) required at least 5 years - Operational experience with billing and systems integration a plus but due to the nature of the role significant technical accounting experience is required. - Strong problem-solving, analytical skills and exceptional attention to detail and accuracy . - Proficient with Microsoft Excel, G-Suite, Salesforce, and SAP S/4Hana - A highly productive self-starter with ability to work independently in a fast-paced environment, meet deadlines and multi-task efficiently. Why H2O.ai? - Market leader in total rewards - Remote-friendly culture - Flexible working environment - Be part of a world-class team - Career growth - Base salary range: $140,000 - 170,000 USD H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. #LI-Remote

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit www.h2o.ai. About This Opportunity As a Solution Architect in H2O.ai Professional Services team you will work closely with Technical teams on the Customer side and Product Engineering, Enterprise Support and Sales teams on the H2O side. This is a remote position based in New York. What You Will Do - Be the trusted solutions advisor for our customers and partners and deliver technical professional services to the customer. - Own and deliver services that include installation, configuration and integration of H2O Generative AI, Machine Learning, Model Management, and Cloud products in the customer environment/landscape. - Provide/gather customer feedback to work with the H2O.ai Engineering team for product improvements. - Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment. - Architect, design, and implement end to end Predictive and Generative AI Machine Learning and Data Science solutions that help customers realize the value of their investments in H2O.ai products and services. - Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers, business people, partners, executives. - Present at meetups and webinars in the Data Science community, and be an integral part of the Maker culture of creating the best products and solutions. What We Are Looking For - Bachelor’s or a higher education degree in Computer Science/Engineering - Minimum 5-6 years of experience with cloud computing/linux systems and architecting end to end data processing pipelines or data intensive enterprise solutions - Experience of working in a customer facing environment, providing technical services - Excellent communication skills (verbal and written, English language). Additional languages a plus. - Amicable attitude. Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies. Maker mindset. How to Stand Out From the Crowd Kubernetes, Linux, and Cloud Architecture Skills - Excellent understanding of system engineering concepts and good command of working in a linux based environment (OS fundamentals etc). Ubuntu and CentoOS/RHEL mainly. - Excellent understanding and implementation experience of the cloud ecosystem i.e. what solutions exist on the 3 major clouds (AWS, GCP, Azure) and when/how to use those components - Excellent understanding and implementation experience with containers and container based orchestration frameworks. Kubernetes (multiple distros like Openshift, and hosted solutions like AKS, EKS and GKE) must have. Virtualization knowledge (vmware. kvm) is a plus. - Good understanding and implementation/integration experience of LDAP, OAuth, OpenID, SSH, TLS, network connectivity, firewalls etc that are required in any enterprise grade service architecture/solution Programming Languages/Frameworks - Experience in Python, shell scripting is a must have. Go experience is a plus Data Engineering Skills - Understanding of building data pipelines for data transformation using big data tools like Hadoop and Spark/Kafka for batch and streaming processing of data. - Understanding and experience of SQL query language and working with relational databases. - Understanding of NoSQL database types and understanding of their disparate application scenarios Data Science skills - Excellent understanding and experience of deploying Large Language Models in a containerized environment - Knowledge of overall Generative AI landscape and concepts. - Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and tabular predictive modelling techniques and concepts. Why H2O.ai? - Market leader in total rewards - Remote-friendly culture - Flexible working environment - Be part of a world-class team - Career growth - Base salary range: $143,000 - 155,000 USD H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. #LI-Remote

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit www.h2o.ai About This Opportunity As a Solution Architect in H2O.ai Professional Services team you will work closely with Technical teams on the Customer side and Product Engineering, Enterprise Support and Sales teams on the H2O side. This is a remote position based in San Francisco, California. What You Will Do - Be the trusted solutions advisor for our customers and partners and deliver technical professional services to the customer. - Own and deliver services that include installation, configuration and integration of H2O Generative AI, Machine Learning, Model Management, and Cloud products in the customer environment/landscape. - Provide/gather customer feedback to work with the H2O.ai Engineering team for product improvements. - Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment. - Architect, design, and implement end to end Predictive and Generative AI Machine Learning and Data Science solutions that help customers realize the value of their investments in H2O.ai products and services. - Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers, business people, partners, executives. - Present at meetups and webinars in the Data Science community, and be an integral part of the Maker culture of creating the best products and solutions. What We Are Looking For - Bachelor’s or a higher education degree in Computer Science/Engineering - Minimum 5-6 years of experience with cloud computing/linux systems and architecting end to end data processing pipelines or data intensive enterprise solutions - Experience of working in a customer facing environment, providing technical services - Excellent communication skills (verbal and written, English language). Additional languages a plus. - Amicable attitude. Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies. Maker mindset. How to Stand Out From the Crowd Kubernetes, Linux, and Cloud Architecture Skills - Excellent understanding of system engineering concepts and good command of working in a linux based environment (OS fundamentals etc). Ubuntu and CentoOS/RHEL mainly. - Excellent understanding and implementation experience of the cloud ecosystem i.e. what solutions exist on the 3 major clouds (AWS, GCP, Azure) and when/how to use those components - Excellent understanding and implementation experience with containers and container based orchestration frameworks. Kubernetes (multiple distros like Openshift, and hosted solutions like AKS, EKS and GKE) must have. Virtualization knowledge (vmware. kvm) is a plus. - Good understanding and implementation/integration experience of LDAP, OAuth, OpenID, SSH, TLS, network connectivity, firewalls etc that are required in any enterprise grade service architecture/solution Programming Languages/Frameworks - Experience in Python, shell scripting is a must have. Go experience is a plus Data Engineering Skills - Understanding of building data pipelines for data transformation using big data tools like Hadoop and Spark/Kafka for batch and streaming processing of data. - Understanding and experience of SQL query language and working with relational databases. - Understanding of NoSQL database types and understanding of their disparate application scenarios Data Science skills - Excellent understanding and experience of deploying Large Language Models in a containerized environment - Knowledge of overall Generative AI landscape and concepts. - Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and tabular predictive modelling techniques and concepts. Why H2O.ai? - Market leader in total rewards - Remote-friendly culture - Flexible working environment - Be part of a world-class team - Career growth - Base salary range: $143,000 - 155,000 USD H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. #LI-Remote

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit www.h2o.ai. About This Opportunity As a Solution Architect in H2O.ai Professional Services team you will work closely with Technical teams on the Customer side and Product Engineering, Enterprise Support and Sales teams on the H2O side. This is a remote position based in New York. What You Will Do - Be the trusted solutions advisor for our customers and partners and deliver technical professional services to the customer. - Own and deliver services that include installation, configuration and integration of H2O Generative AI, Machine Learning, Model Management, and Cloud products in the customer environment/landscape. - Provide/gather customer feedback to work with the H2O.ai Engineering team for product improvements. - Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment. - Architect, design, and implement end to end Predictive and Generative AI Machine Learning and Data Science solutions that help customers realize the value of their investments in H2O.ai products and services. - Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers, business people, partners, executives. - Present at meetups and webinars in the Data Science community, and be an integral part of the Maker culture of creating the best products and solutions. What We Are Looking For - Bachelor’s or a higher education degree in Computer Science/Engineering - Minimum 5-6 years of experience with cloud computing/linux systems and architecting end to end data processing pipelines or data intensive enterprise solutions - Experience of working in a customer facing environment, providing technical services - Excellent communication skills (verbal and written, English language). Additional languages a plus. - Amicable attitude. Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies. Maker mindset. How to Stand Out From the Crowd Kubernetes, Linux, and Cloud Architecture Skills - Excellent understanding of system engineering concepts and good command of working in a linux based environment (OS fundamentals etc). Ubuntu and CentoOS/RHEL mainly. - Excellent understanding and implementation experience of the cloud ecosystem i.e. what solutions exist on the 3 major clouds (AWS, GCP, Azure) and when/how to use those components - Excellent understanding and implementation experience with containers and container based orchestration frameworks. Kubernetes (multiple distros like Openshift, and hosted solutions like AKS, EKS and GKE) must have. Virtualization knowledge (vmware. kvm) is a plus. - Good understanding and implementation/integration experience of LDAP, OAuth, OpenID, SSH, TLS, network connectivity, firewalls etc that are required in any enterprise grade service architecture/solution Programming Languages/Frameworks - Experience in Python, shell scripting is a must have. Go experience is a plus Data Engineering Skills - Understanding of building data pipelines for data transformation using big data tools like Hadoop and Spark/Kafka for batch and streaming processing of data. - Understanding and experience of SQL query language and working with relational databases. - Understanding of NoSQL database types and understanding of their disparate application scenarios Data Science skills - Excellent understanding and experience of deploying Large Language Models in a containerized environment - Knowledge of overall Generative AI landscape and concepts. - Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and tabular predictive modelling techniques and concepts. Why H2O.ai? - Market leader in total rewards - Remote-friendly culture - Flexible working environment - Be part of a world-class team - Career growth - Base salary range: $143,000 - 155,000 USD H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. #LI-Remote

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit www.h2o.ai About This Opportunity As a Solution Architect in H2O.ai Professional Services team you will work closely with Technical teams on the Customer side and Product Engineering, Enterprise Support and Sales teams on the H2O side. This is a remote position based in San Francisco, California. What You Will Do - Be the trusted solutions advisor for our customers and partners and deliver technical professional services to the customer. - Own and deliver services that include installation, configuration and integration of H2O Generative AI, Machine Learning, Model Management, and Cloud products in the customer environment/landscape. - Provide/gather customer feedback to work with the H2O.ai Engineering team for product improvements. - Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment. - Architect, design, and implement end to end Predictive and Generative AI Machine Learning and Data Science solutions that help customers realize the value of their investments in H2O.ai products and services. - Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers, business people, partners, executives. - Present at meetups and webinars in the Data Science community, and be an integral part of the Maker culture of creating the best products and solutions. What We Are Looking For - Bachelor’s or a higher education degree in Computer Science/Engineering - Minimum 5-6 years of experience with cloud computing/linux systems and architecting end to end data processing pipelines or data intensive enterprise solutions - Experience of working in a customer facing environment, providing technical services - Excellent communication skills (verbal and written, English language). Additional languages a plus. - Amicable attitude. Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies. Maker mindset. How to Stand Out From the Crowd Kubernetes, Linux, and Cloud Architecture Skills - Excellent understanding of system engineering concepts and good command of working in a linux based environment (OS fundamentals etc). Ubuntu and CentoOS/RHEL mainly. - Excellent understanding and implementation experience of the cloud ecosystem i.e. what solutions exist on the 3 major clouds (AWS, GCP, Azure) and when/how to use those components - Excellent understanding and implementation experience with containers and container based orchestration frameworks. Kubernetes (multiple distros like Openshift, and hosted solutions like AKS, EKS and GKE) must have. Virtualization knowledge (vmware. kvm) is a plus. - Good understanding and implementation/integration experience of LDAP, OAuth, OpenID, SSH, TLS, network connectivity, firewalls etc that are required in any enterprise grade service architecture/solution Programming Languages/Frameworks - Experience in Python, shell scripting is a must have. Go experience is a plus Data Engineering Skills - Understanding of building data pipelines for data transformation using big data tools like Hadoop and Spark/Kafka for batch and streaming processing of data. - Understanding and experience of SQL query language and working with relational databases. - Understanding of NoSQL database types and understanding of their disparate application scenarios Data Science skills - Excellent understanding and experience of deploying Large Language Models in a containerized environment - Knowledge of overall Generative AI landscape and concepts. - Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and tabular predictive modelling techniques and concepts. Why H2O.ai? - Market leader in total rewards - Remote-friendly culture - Flexible working environment - Be part of a world-class team - Career growth - Base salary range: $143,000 - 155,000 USD H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit www.H2O.ai to learn more. #LI-Remote

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description H2O.ai is seeking a Vice President of Partnerships, North America to build and scale a high-impact partner ecosystem that accelerates enterprise and public sector growth. This role owns the North America partner strategy, execution, and revenue outcomes across hyperscalers, OEMs, data platforms, GSIs, distributors, resellers, and services partners. This position will report directly to the President and CRO. This remote position may be based anywhere in the U.S. Travel required about 50%. What You Will Do - Partner Strategy & Revenue Ownership - Define and execute the North America partner strategy aligned with company growth objectives - Own partner-sourced and partner-influenced revenue targets - Establish partner segmentation, investment models, and success metrics - Hyperscaler & Cloud Alliances - Lead executive relationships and joint business planning with AWS, Microsoft Azure, Google Cloud, and Oracle Cloud - Drive co-sell motions, marketplace initiatives, and field alignment - Data & AI Platform Alliances - Own strategic partnerships with Snowflake and Databricks, including joint solutions, reference architectures, and co-sell execution - Enable field alignment and joint value propositions across enterprise analytics, AI, and GenAI workloads - OEM & Technology Partnerships - Lead strategic partnerships with NVIDIA and Dell Technologies, including joint GTM execution and field enablement - Partner with product and engineering teams on integrations and solution validation - GSI & Services Partners - Build and scale relationships with GSIs and leading consulting firms to drive enterprise and public sector adoption - Enable services-led delivery models that create durable platform pull-through - Reseller, Distribution & Public Sector Channel - Scale the reseller and distributor ecosystem, including Carahsoft, regional VARs, and boutique AI services partners - Support partner success across public sector and regulated industries - Field Alignment & Operations - Align partner sales teams with H2O.ai sales through joint planning, pipeline reviews, and deal governance - Design and operationalize partner programs, incentives, and lifecycle management - Own partner systems, processes, and reporting, including Salesforce and CRM integrations Qualifications - 10–15+ years leading enterprise technology partnerships in Cloud, AI, SaaS, or data platforms - Proven experience with hyperscalers (AWS, Azure, GCP, Oracle), data platforms (Snowflake, Databricks), OEMs (NVIDIA, Dell), and GSIs - Demonstrated success building reseller and distribution models, including Carahsoft - Track record scaling partner organizations from early-stage revenue to multi-million-dollar impact Requirements - Builder mindset with the ability to operate strategically and hands-on - Strong channel sales operations and program design expertise - Executive presence with excellent negotiation and communication skills - Solid understanding of Cloud, AI/ML, and enterprise data ecosystems - Ability to translate technical capabilities into compelling partner value propositions Benefits - Market leader in total rewards - Remote-friendly culture - Flexible working environment - Be part of a world-class team - Career growth