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

Job Summary: We are seeking a consultative, results-driven Sales Professional to support libraries across the North Central United States, including Michigan, Illinois, Ohio, West Virginia, Maryland, and Pennsylvania. In this role, you will partner closely with public and academic libraries to understand their unique needs and help them develop innovative self-service solutions that enhance the patron experience. You will represent a broad portfolio of more than 30 products, positioning tailored solutions that empower libraries to operate more efficiently, expand access, and better serve their communities. Success in this role comes from building strong relationships, conducting needs-based discussions, and delivering thoughtful recommendations that align library goals with the right mix of products and services. This is an opportunity for a motivated sales professional who enjoys relationship building, problem-solving, and working independently within a defined territory—while making a meaningful impact in the library and education space. Job Description: Duties, Responsibilities, Contributions, and Expected Outcomes The Sales Consultant is responsible for driving revenue growth and expanding market presence within an assigned North Central U.S. territory. This sales professional will support libraries across the North Central United States, including Michigan, Illinois, Ohio, West Virginia, Maryland, and Pennsylvania. This remote position requires approximately 50% travel to meet with customers, attend industry events, and support account development activities. Key Responsibilities: - Develop and execute a territory sales strategy to achieve and exceed assigned revenue and growth targets. - Build, manage, and grow relationships with existing and prospective library customers through consultative, needs-based selling. - Conduct in-person and virtual meetings with customers to assess operational challenges and recommend appropriate technology-based self-service solutions. - Represent and promote a broad portfolio of products and services, effectively articulating value propositions and aligning solutions to customer needs. - Manage assigned accounts, including opportunity identification, pipeline development, forecasting, contract negotiation, and post-sale follow-up. - Collaborate with internal teams (e.g., product, implementation, customer support, and marketing) to ensure successful solution delivery and customer satisfaction. - Attend and actively participate in regional and national trade shows, conferences, and industry events to generate leads, strengthen brand presence, and maintain industry awareness. - Maintain accurate and timely documentation of customer interactions, sales activities, and forecasts using designated CRM tools. - Monitor market trends, competitive activity, and customer feedback to inform sales strategies and identify new opportunities. - Travel extensively within the assigned territory (approximately 50%) to support sales objectives and customer engagement. Important Contributions: - Strengthen long-term customer partnerships through high levels of professionalism, responsiveness, and trust. - Drive adoption of technology solutions that improve customer efficiency and end-user experience. - Contribute to sustained revenue growth and market expansion within the assigned region. - Enhance organizational visibility and reputation through effective representation at industry events. Expected Outcomes: - Consistent achievement or exceeding of sales quotas and key performance metrics. - Growth and retention of assigned accounts through proactive account management. - A well-developed and accurate sales pipeline that supports forecasting and business planning. - High levels of customer satisfaction and repeat business. - Effective collaboration with internal teams resulting in successful implementations and long-term customer success. Education & Experience - Bachelor’s degree in Business, Marketing, Information Technology, Library Science, or a related field (or equivalent skills and experience). - 2–5+ years of experience in technology sales, SaaS sales, or solution‑based selling. - Experience supporting libraries, educational institutions, government, or public‑sector organizations is preferred. - Demonstrated ability to meet or exceed sales targets. Sales & Business Skills - Strong consultative selling skills with the ability to understand customer needs and recommend appropriate solutions. - Ability to build and maintain a healthy sales pipeline from prospecting through closing. - Experience delivering product demonstrations, presentations, and virtual meetings. - Ability to build long‑term, trusted relationships with library directors, administrators, and other stakeholders. - Experience with NetSuite is an asset. Technology & Industry Knowledge - Basic understanding of library technologies such as: - Integrated Library Systems (ILS) - RFID or circulation technologies - Familiarity with SaaS platforms and cloud‑based solutions. - Ability to quickly learn and communicate technical product features and benefits in a clear and accessible way. Communication & Interpersonal Skills - Excellent verbal and written communication skills. - Comfortable presenting to both small and large groups, in person and virtually. - Strong relationship‑building, collaboration, and networking abilities. Travel & Work Environment - Willingness and ability to travel approximately 50% for client meetings, conferences, and onsite demonstrations. - Ability to work independently in a remote environment while staying connected with the sales team and key partners. - Strong time‑management skills and the ability to remain organized and self‑directed. Organizational Skills - Ability to manage multiple accounts, opportunities, and follow‑ups simultaneously. - Strong attention to detail when preparing proposals, contracts, and sales documentation. Additional Preferred Qualifications - Experience attending or presenting at library conferences or professional events. - Knowledge of public library operations and funding models. - Valid driver’s license and the ability to travel regionally. Worker Type: Regular Number of Openings Available: 0

• Act as the technical authority for overlay-led opportunities from qualification through close. • Lead customer discussion to understand challenges and problems, solution discovery, architecture definition, and technical validation for complex deals. • Ensure proposed solutions align with product roadmap, reference architectures, and scalability principles. • Gather and translate customer business requirements into clear, executable solution designs. • Partner tightly with Sales Overlay Leads to support solution-led selling and value articulation. • Participate in customer workshops, technical deep dives, and executive briefings. • Help frame technical capabilities into business outcomes, ROI, and differentiation narratives. • Support pricing, packaging, and scope definition by ensuring solution feasibility and margin discipline. • Define and maintain reference architectures, solution patterns, and deployment blueprints for priority use cases and verticals. • Identify opportunities to productize or templatize custom solutions to drive repeatable revenue. • Reduce bespoke implementations by promoting modular, platform-based designs. • Identify technical, operational, and integration risks early in the sales cycle. • Partner with Product, Engineering, and Customer Success to validate feasibility, dependencies, and delivery timelines. • Ensure handoff readiness from sales to delivery, including documentation, assumptions, and success criteria. • Act as the technical bridge between Sales, Product, Engineering, Security, Legal, and Operations. • Provide structured feedback from the field into product roadmap, feature gaps, and integration priorities. • Support internal enablement through training, playbooks, and solution walkthroughs.