Openings at Liquid Intelligent Technologies

Description

• As a Business Development Manager for Google Cloud, you will identify and pursue new business opportunities, develop strategic partnerships, and expand the adoption of Google Cloud products and services across Africa. You will work cross-functionally to create and execute go-to-market strategies, engage with potential clients, and drive revenue growth. 

Responsibilities 

• Market Analysis: Research and analyse market trends, customer needs, and competitor activities to inform business strategy. 
• Opportunity Identification: Proactively seek out new business opportunities and potential clients for Google Cloud solutions. 
• Strategic Partnerships: Build and nurture relationships with key stakeholders, partners, and industry influencers. 
• Solution Evangelism: Present Google Cloud products and services to prospective clients, highlighting business value and technical advantages. 
• Proposal Development: Collaborate with technical teams to develop tailored proposals and solutions for clients. 
• Sales Enablement: Support sales teams with insights, training, and resources to drive successful engagements. 
• Pipeline Management: Maintain and report on a robust pipeline of business opportunities. 

Requirements
Qualifications Required:

• Bachelor’s degree in Business, IT, or related field-Essential
• Advanced degree or certification in Cloud Technologies-Desirable

Experience Required:

• 3+ years in business development or sales in cloud solutions-Essential
• 3+ years’ Experience with Google Cloud or similar platforms-Desirable

Knowledge Required:

• Deep understanding of cloud computing and Google Cloud offerings-Essential
• Strong business acumen and market analysis skills-Essential
• Knowledge of partner ecosystems and channel sales-Essential

Skills Required:

• Excellent communication and presentation skills-Essential
• Negotiation and relationship management-Essential
• Strategic thinking and problem-solving-Essential-Essential
• Google Cloud certifications (Foundational/Associate)

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Description

• The Partner Technical Specialist (PTS) works with different cloud solutions, supporting resellers and our internal teams with technical assistance and technical thought leadership. The role encompasses enablement and growth of cloud and cyber security partners as well as the scoping, deployment and high-level support for solutions to our partners and their customers. The successful applicant will work hand in hand with our vendors (like Microsoft, Google, etc) and Cloudmania’s internal stakeholders to drive the technical aspects around sales of all offered services. The incumbent will be an expert, assisting partners to retain their customers, identify upselling opportunities and advising them on the best options available for their customers. The role will focus on the acquisition and presales engagement of cloud customers. The successful applicants will work hand in hand with cloud vendors and Liquid Intelligent Technologies’ Business Group Leads and Partner Development Managers to drive workload adoption. The incumbent will be an expert for the workload assisting partners to retain their customers, identify upselling and new opportunities and advising them on the best options available for their customers.
• Engage, create, and manage partner activities to ensure customers are leveraging technologies effectively, and finding value, in the different cloud workloads. The PTS is expected to have a deep understanding of the product portfolio so that he/she can educate customers on the use and benefits of the cloud solutions. The PTS primarily aims to influence partners' technical strategies by integrating and embedding the company's technology portfolio into their reference architectures, practices, and solutions.

Requirements
Qualifications

• MS-900 / AZ-900 / SC-900 / AI-900 - Desirable
• Google Cloud: Digital Leader - Essential
• Google Cloud: Associate Cloud Engineer - Essential
• Google Cloud: Professional Cloud Architect - Essential
• AWS Certified Cloud Practitioner - Desirable
• AWS Certified AI Practitioner - Desirable
• Bachelor's degree in marketing, Business Operations, Computer Science or a related field AND experience in partner engagement in the technology industry or related experience - Desirable

Experience                                                                                                                       

• Experience in Cloud Presales. 1 – 3 Years - Essential
• Software/ICT marketing experience (cloud preferred). 1 – 3 Years - Essential

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Role Purpose

• The AI Platform Engineer at Cassava AI Factory develops the AI platform, enabling users to build and deploy models efficiently. This role integrates the platform with NVIDIA GPUs for high-performance computing, ensuring scalability and user satisfaction. Responsible for the development and optimisation of AI infrastructure utilising NVIDIA products, i.e H200 GPUS.
• The AI Platform Engineer will be required to design and implement the infrastructure for building, deploying, and managing AI applications. The focus will be on creating scalable, reliable, and secure systems that support AI workflows. This role will involve building data pipelines, integrating machine learning models, and ensuring the efficiency of AI operations. 
• Working with our AI Solutions Architects who design the solutions, the AI Platform Engineers need to have a firm understanding of all the technologies being deployed and the ability to implement the proposed solution working in a project team and overseen by the Service Delivery Manager and/or Projects Manager. The Cloud Platform Engineer will be involved throughout the client engagement process, from initial scoping and surveys, through project implementation and delivery, and if required for ongoing support and maintenance of the customer environment.

Role Description

• Design and develop features for Cassava’s AI platform to enable seamless AI model development and deployment. Integrate the platform with Cassava’s cloud infrastructure and NVIDIA H200 GPUs for high-performance computing capabilities. Implement tools and services for model training, experimentation, monitoring, and versioning to boost user productivity significantly. Ensure the platform remains scalable, secure, and compliant with industry standards and best practices consistently.
• Collaborate with AI engineers, data scientists, and customers to gather requirements and feedback for platform enhancements. Troubleshoot platform issues and provide technical support to users, ensuring a seamless and efficient experience. Stay abreast of emerging technologies and incorporate relevant advancements into the platform to maintain competitiveness. Document platform architecture, features, and usage guidelines to facilitate user adoption and provide robust support. Manage the assurance of Cloud platform through:- Ensuring a high-resolution efficiency for incidents- Maintain architecture deployment standards- Comply with all Process, Patch Management, Change Process, for any deployed and managed Cloud services- Produce reports to measure compliance to SLA and MTTR for customer managed cloud services and platforms- Conduct customer cloud readiness assessments and reports the outcome
• Deploy customer solutions based on best practices including migrations, cloud networking and new set-ups
• Document infrastructure designs, configurations, and operational procedures for knowledge sharing and regulatory compliance. Support in creating sales and marketing collateral and vertical Playbooks for AI cloud services and platforms aligned to solution sales. Training for sales, customer employees and product teams Support non-standard/complex solutions - Cross functional engagements, Sales support, Service Desk, Products, Bid Office & engagement with Engineering – capacity and sizing of solutions to allow for successful delivery. Assist with technology selection and vendor selection for product management/ideation and eco-system enablement.
• Work with third parties including vendor support, billing, and troubleshooting. Recruit, train and maintain 3rd party managed services and/or GI partners as needed to create scale in delivery. Leading the implementation and deployment team and providing technical insight and resolving technical dependencies and escalates where necessary. Maintaining the Platform services along agreed best practices and Service Level Agreements. Maintaining an up-to-date skillset that translates into secure, practical implementations and service delivery for projects

Requirements

• Bachelor’s degree in computer science, Engineering, or a related field is required; a Master’s degree is preferred.
• Relevant certifications in AI infrastructure management or similar fields.
• Certifications in cloud computing or software engineering, like AWS Certified Developer, enhance candidacy significantly.
• At least 2-3 years’ experience in platform engineering or software development, focusing on AI or cloud tech, is essential.
• Strong programming skills in languages like Python, Java, or Go, with experience building scalable applications.
• Experience with cloud-native technologies, microservices architecture, and API development is a critical requirement.
• Knowledge of AI/ML workflows, tools, and frameworks, such as TensorFlow or PyTorch, is fundamental to this role.

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Role Purpose

• As an AI Solutions Architect at Cassava AI, you will play a critical role in designing and implementing AI solutions for our AI & Decision Science Platforms. Using your expertise in AI and ML, you will guide the design of innovative solutions, offer technical training, and provide hands-on assistance to software developers in software architecture and code development.
• Engage with prospective customers to understand their technical requirements and provide tailored solutions that demonstrate value and competitive advantage. Ensure that technical designs are scalable, reliable, and maintainable, meeting both current and future needs of the organisation and its customers.
• Key responsibilities include providing leadership and technical solutioning strategies, offering guidance for implementation, and supporting complex AI solution delivery and project management for customers. This involves overseeing the creation of customer-specific services and solutions and models, building partner ecosystems tailored to sales verticals, and ensuring the delivery and integration of complex solutions into existing customer environments.

Role Description

• Creation of a business case costs inputs and design parameters to allow pricing teams to accurately price and package solutions. Perform in-depth data analysis and pre-processing to enhance model performance and accuracy. Support Sales to achieve their aspirational revenue targets for the specific customers / verticals.
• Creation of a business case costs inputs and design parameters to allow pricing teams to accurately price and package solutions. Perform in-depth data analysis and pre-processing to enhance model performance and accuracy. Support Sales to achieve their aspirational revenue targets for the specific customers / verticals.
• Prototype, experiment, and iterate with different AI models based on feedback and performance evaluations. Work closely with the Operations Manager and support the definition of product roadmaps, prioritise features, and identify opportunities for innovation and differentiation. Provide technical expertise to enhance product offerings, ensuring that they align with market trends and customer requirements. Research technology roadmaps, adoption and key vendor strategies and capabilities per assigned Sales segment.
• Actively contribute to Cassava AI's knowledge base, sharing insights and best practices with internal teams and clients. Serve as Cassava AI’s subject matter expert in support of technical white paper and case studies development for new bespoke innovative solutions and models for customer verticals'-creation of technology strategies with large accounts and strategic customers to plan, build and win pipeline business. Consultation with Sales is critical to understand the assigned customer businesses, industries and segments, with the intention of defining future concepts and services.
• Implement, integrate, and optimise ML models within architectures, ensuring seamless integration into existing systems. Ensure smooth implementation of AI solutions on platforms powered by H200 GPUs, focusing on both performance and scalability within the Cassava AI Factory infrastructure. Assisting Service Delivery in deploying and supporting these unique services to customer networks.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related fields.
• Familiarity with NVIDIA AI Enterprise software and tools to enhance GPU utilisation for AI workloads.
• Relevant certifications in AI infrastructure management or related fields.
• Experience in deep learning, NLP, computer vision, or reinforcement learning.
• Aleastt least 4-5 years’ experience in AI infrastructure, particularly with GPU technologies like NVIDIA H200 GPUs or similar high-performance hardware.
• Proven experience in AI/ML research or practical implementation preferably with a Ph.D. in CS/ML or an M.S. with 3+ years in software development and 2+ years in AI architecture.
• Strong experience overseeing front-end and back-end architecture at the corporate level, including managing cloud infrastructure for AI, Big Data, and compliance.
• Ability to harmonise technical implementation with diverse stakeholder inputs to create viable strategies for both functional and non-functional requirements.
• Expertise in programming languages such as Python, Java, or C++ and proficiency in ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of data science, analytics, and applied mathematics, with expertise in languages like SAS, R, and Python.
• Hands-on knowledge of ML and deep learning frameworks (e.g., TensorFlow) and machine learning algorithms such as random forests, neural networks, and others.
• Understanding and scoping diverse customer business requirements over all segments and the ability to translate these requirements to define and architect bespoke solutions across technologies, products and services.

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Role Purpose

• The AI Technical Product Manager at Cassava AI Factory plays a pivotal role in defining and driving the vision, strategy, and roadmap for AI products and services hosted on the company’s cloud platform. This position requires collaborating with engineering, data science, and business teams to deliver innovative, high-performing AI solutions that leverage NVIDIA H200 GPUs, ensuring they meet customer demands and contribute significantly to the company’s growth objectives.
• Definition, development, Co-ordinate & drive all product development, product integration & go-to-market strategy for product set across Cassava AI through cross-functional teams. Including but not limited to marketing, service delivery, finance, IT, and service assurance.

Role Description

• In conjunction with Cassava Direct and Indirect Sales teams achieve the revenue targets set out by the company for all Products and Services that fall within the assigned Product Portfolio. Define and drive the vision, strategy, and roadmap for AI products and services, ensuring they align with Cassava AI’s overarching business goals. Collaborate with engineering and data science teams to develop and launch AI solutions that maximise NVIDIA GPUs i.e. H200 GPUs performance capabilities.
• Gather and prioritise customer requirements to ensure AI products consistently meet market demands and enhance user satisfaction. Monitor industry trends and competitor activities to identify opportunities for innovation and maintain a competitive edge.
• Manage the entire product lifecycle from initial concept to successful launch, ensuring timely delivery and exceptional quality. Analyse product performance metrics and user feedback to iteratively improve offerings and address evolving needs. Communicate product plans, updates, and progress to internal and external stakeholders with clarity and precision.
• Deliver outcomes with industry expertise (resources) and strategic vendor partnerships (vendors and partners) to design, build, manage and deliver enterprise business solutions for customers. Accountable for overseeing the execution of delivery of the product/service. Ensure products are delivered to market as per the product roadmap. Partner with marketing and sales teams to position and promote AI products effectively in a competitive market landscape.
• Work with the sales and pre-sales team/s to translate product strategies/objectives into solutions supported that drive market awareness and revenue growth (MRR & customer centricity) in the AI cloud managed space.
• Understand key customer requirements through regular customer interactions and to understand and drive demand for Cassava AI cloud services. Provide support on major bids in order to fine tune our client facing value proposition as and where required and respond with appropriate services and solutions. Compile and maintain a monthly up to date budget, sales and revenue report. Track overall product portfolio revenue and ensure accurate budgeting. Ensure market-related product pricing
• Partner with marketing and sales teams to position and promote AI products effectively in a competitive market landscape. Work with the sales and pre-sales team/s to translate product strategies/objectives into solutions supported that drive market awareness and revenue growth (MRR & customer centricity) in the AI cloud managed space. Understand key customer requirements through regular customer interactions and to understand and drive demand for Cassava AI cloud services.
• Provide support on major bids in order to fine tune our client facing value proposition as and where required and respond with appropriate services and solutions. Compile and maintain a monthly up to date budget, sales and revenue report. Track overall product portfolio revenue and ensure accurate budgeting. Ensure market-related product pricing.Develop offers and value proposition messages and launch to internal and external stakeholders to drive interest, understanding and market opportunity to drive MRR.
• Develop and execute sales enablement programs including developing relevant collateral for delivering training and designing blueprint buyer journeys; and map buyer decisions at each stage of the buying cycle. Responsible for developing and implementing the specific product and service’s sales & support documentations (marketing and sales collateral brochures, product presentations, cheat sheets, battlecards and service schedules, costing and pricing models)
• Engage with stakeholders across the business, in supporting new products and solutions, by developing services that differentiates Cassava AI in the market. This is including but not limited to value propositions through partnerships that enable sales and new revenue opportunities. Create and manage specific lead revenue generating and customer engagement programs to drive new revenue. Identify and Attend Seminars, workshops
• Identify and attend online courses. Assist cross functional team members when required, Mentoring of Solution Architects and sales KAMs.Presentations of topics relevant to your COE or new disruptive technologies

Requirements

• Bachelor’s degree or diploma in Computer Science, Engineering, or a related field is required; a Master’s degree is highly preferred.
• Relevant certifications in AI infrastructure management or similar fields.
• At least 3-5 years of product management experience focusing on AI, machine learning, or cloud-based technologies is essential.
• Deep understanding of AI and machine learning technologies, including frameworks like TensorFlow and PyTorch, is necessary.
• Knowledge of GPU technologies and their critical role in accelerating AI workloads is fundamental to this role.
• Familiarity with NVIDIA AI Enterprise software and tools
• Background in data science or machine learning engineering, including hands-on model development, is a strong advantage.
• Familiarity with agile development methodologies and product management tools enhances candidacy for this role.

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Role Purpose

• Design and implement scalable cloud infrastructure tailored specifically for AI Factory workloads, leveraging NVIDIA GPUs comprehensively i.e. H200 GPUs.Optimise resource utilisation to balance performance and cost-efficiency for AI model training and inference tasks. Implement automation and orchestration tools, such as Terraform or Ansible, to manage infrastructure efficiently and reliably. Monitor system performance, availability, and reliability, addressing issues proactively to minimise downtime and disruptions.
• Collaborate with AI engineers and data scientists to understand and fulfil their infrastructure requirements accurately. Troubleshoot and resolve infrastructure-related issues quickly to maintain high service quality and user satisfaction. Stay current with advancements in cloud technologies, GPU computing, and AI infrastructure best practices continuously.
• Manage the assurance of Cloud services through: Ensuring a high-resolution efficiency for incidents- Maintain architecture deployment standards- Comply with all Process, Patch Management, Change Process, for any deployed and managed Cloud services- Produce reports to measure compliance to SLA and MTTR for customer managed cloud services- Conduct customer cloud readiness assessments and reports the outcome- Deploy customer solutions based on best practices including migrations, cloud networking and new set-ups
• Monitor resources, networks, security, IaaS, PaaS, SaaS 
• Document infrastructure designs, configurations, and operational procedures for knowledge sharing and regulatory compliance. Support in creating sales and marketing collateral and vertical Playbooks for AI cloud services. Support non-standard/complex solutions - Cross functional engagements, Sales support, Service., Products, Bid Office & engagement with Engineering. Training for sales, customer employees and product teams. Assist with technology selection and vendor selection for product management/ideation and eco-system enablement.
• Leading the implementation and deployment team and providing technical insight and resolving technical dependencies and escalates where necessary. Maintaining Cloud services along agreed best practices and Service Level Agreements. Maintaining an up-to-date skillset that translates into secure, practical implementations and service delivery for projects 

Requirements

• A bachelor’s or master’s degree in computer science, Engineering, or a related technical field is required for this role.
• Familiarity with NVIDIA AI Enterprise software and tools to enhance GPU utilisation for AI workloads.
• Relevant certifications in AI infrastructure management or related fields.
• At least 4 years’ experience in cloud infrastructure engineering, preferably focused on AI or high-performance computing, is essential.
• Expertise in cloud platforms like AWS, GCP, or Azure, and tools like Terraform or CloudFormation, is critical.
• In-depth knowledge of NVIDIA GPUs, including the H200 series, and their application in AI workloads is necessary.
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes, is a key requirement.
• Strong scripting skills in languages like Python or Bash for automation and infrastructure management are essential. Strong knowledge of data science, analytics, and applied mathematics, with expertise in languages like SAS, R, and Python.
• Background in AI or machine learning, with a grasp of infrastructure needs
• Experience with high-performance computing environments and related technologies strengthens suitability notably.
• GPU technologies like NVIDIA H200 GPUs or similar high-performance hardware
• High performance compute and storage
• Virtualization and digitization of compute and networking
• Strong knowledge of data science, analytics, and applied mathematics, with expertise in languages like SAS, R, and Python.
• Machine Learning and strong general programming skills