Sand Technologies

• Take ownership of the full testing lifecycle • Expand and maintain existing automation suite • Transform manual tickets into automated scripts • Design and execute automated tests for GraphQL APIs • Perform thorough manual testing on web applications • Work within CI/CD pipelines

• Transform complex concepts into clear, compelling visual stories. • Design high-impact presentations for CEO speeches, executive communications, and internal strategic moments. • Partner with leadership and the CEO’s Office to refine narrative flow, not just visuals. • Bring structure and clarity to ideas that are still evolving. • Maintain high design standards while working quickly in fast-paced environments. • Ensure consistency with Sand’s tone, brand, and strategic messaging.

Title: Global Product Marketing Director Location: USA Job Description: About Sand Sand Technologies is a fast-growing enterprise AI Product led company that solves real-world problems for large blue-chip companies and governments worldwide. We’re pioneers of meaningful AI: our solutions go far beyond chatbots. We are using data and AI to solve the world’s biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m people in a country to get world-class healthcare despite a shortage of doctors. We’ve grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. Our success is supported by about 300 engineers and scientists working across Africa, Europe, the UK, and the US. About the role Sand is seeking a Global Product Marketing Manager to lead marketing strategy and execution across all regions and industries. This role owns global product marketing, brand execution, and marketing operations, managing a central marketing team and working closely with sales, partnerships, product, and engineering to translate Sand’s platform capabilities into clear narratives, campaigns, and market presence that support both direct client revenue and partner-enabled growth. Specific Responsibilities - Define and execute Sand’s global marketing strategy across brand, product marketing, digital, content, and events - Own global brand identity execution, ensuring consistent application of Sand story and brand guidelines - Lead global product marketing, including positioning, messaging, case studies, and thought leadership - Manage central marketing staff (designer, web developer, videographer, content marketer) - Plan and deliver major events, including Sand’s flagship summit and key industry conferences - Oversee global digital channels including website, LinkedIn, YouTube, newsletters, and press - Develop sales and marketing collateral, including decks, presentations, and executive materials - Support sales teams with marketing-sourced pipeline across direct and partner-led motions - Collaborate closely with Partnerships, Sales, Product, Engineering, and Delivery team Requirements - Essential - 7-10+ years experience in B2B or enterprise marketing, ideally in technology, data, or infrastructure sectors - Strong background in product marketing and brand leadership - Proven experience leading multi-channel marketing functions at a global level - Experience managing and developing high-performing creative and marketing teams - Comfort using Google Slides, LinkedIn, and Figma as core working tools - Ability to operate hands-on while setting strategic direction Requirements - Preferable - Experience marketing complex platforms or services to enterprise or public-sector clients - Exposure to ecosystem-based or partner-enabled business models - Experience working with globally distributed teams - Familiarity with AI, data platforms, or applied analytics Work Environment This is a hybrid role with significant in-person requirements. While some responsibilities can be performed remotely, the role demands regular presence on the ground to build relationships, oversee implementation, and represent Sand with local stakeholders. At the same time, given the high degree of virtual collaboration with colleagues and partners across multiple geographies, the successful candidate must be highly self-driven, comfortable working in small in-person teams while contributing to larger efforts virtually, and disciplined in using online collaboration tools and video conferencing to maintain constant communication. Due to the considerable amount of virtual work and interaction with colleagues and customers in different physical locations internationally, it is essential that the successful applicant has the drive and ethic to succeed in working in small teams physically but in larger efforts virtually. Self-drive to communicate constantly using online collaboration and video conferencing is essential.

• Develop and execute strategies to grow presence and wallet share within key accounts (mainly Tier 1 MNOs, but also FiberCos, and CableCos). • Leverage prior experience working with one or more of these accounts—such as T-Mobile, Verizon, AT&T, Charter, Comcast, or Cox—to drive business development. • Work with hyperscaler partners (e.g., leading cloud providers, NVIDIA, and others) as part of the AWS-NVIDIA Telco IA fellowship program and beyond, supporting telco-focused initiatives and driving co-selling motions, pipeline development, and joint sales engagement with key ecosystem partners. • Lead cross-functional collaboration across product management, forward-deployed engineering, delivery, and infra engineering teams to shape opportunities and guide engagements end-to-end - from initial client contact, problem definition, and qualification through deal structuring, procurement, and close. • Build strong familiarity with the SandOS platform, network digital twin, and telco AI/ML models and agents, and apply them to real-world use cases such as network performance optimization, intervention strategy simulation, decision-layer enablement, and orchestration solutions. • Develop detailed customer profiles by identifying key stakeholders (e.g., C-suite, Strategy, Data & AI, RAN planning, RAN engineering, and O&M) and tailoring approaches to address their specific needs. • Operate effectively in a fast-paced, technical environment, with a solid understanding of data and AI fundamentals (relevant certifications are a plus). • Partner with Forward Deployed Engineers and Product to identify and leverage relevant datasets through deep engagement with customer workflows and challenges. • Attend industry events and conferences to represent the company and build relationships with potential customers • Provide regular feedback to the management team on market developments, opportunities, and threats

• Support the CEO and the CEO’s Office in ensuring his time, communications, and decision-making processes operate efficiently. • Prepare the CEO for high-stakes meetings with investors, partners, clients, and senior leadership. • Draft and refine strategic communications including board materials and executive correspondence. • Conduct research and analysis on companies, investors, partners and emerging strategic opportunities. • Support email management, including drafting responses to complex or high-stakes communications. • Design systems to improve the efficiency of the CEO’s Office.

• Edit and refine weekly CEO Updates for Sand and ALX • Draft high-level internal emails and executive communications for the CEO • Project manage stakeholder communications, defining roadmaps and year-round plans • Write and edit impact reports, stakeholder reports and letters for the CEO • Write and edit investor communications and strategic updates • Ensure alignment of messaging across Sand, ALX and ALG • Maintain a consistent, high-quality voice of the CEO across platforms • Oversee social media strategy in collaboration with the Social Media Manager • Edit executive posts and shape long-form thought leadership content • Write and edit articles, speeches and keynote remarks • Manage CEO speaking engagements in collaboration with the Social Media Manager • Coordinate PR engagements, media interviews, quotes and book forewords • Draft high-level external correspondence • Lead executive communications for specialised events (eg Sand’s annual Evolve AI Summit)

• Help design, operate, and continuously improve our end-user technology environment at scale • Administer platforms such as Google Workspace, Slack, ITSM tooling, Zoom, endpoint management • Maintain ITSM Cloud space, identity, endpoint management and operational technical requirements • Collaborate closely with IT leadership on standards, automation, and roadmap execution

• As Senior AI Solutions Director, you will be accountable for the successful delivery of cutting-edge Enterprise AI solutions within our Energy (Oil & Gas) portfolio, overseeing all aspects of the project lifecycle from conception to execution. • This critical leadership role requires the orchestration of multi-disciplinary teams, including data scientists, data engineers, software engineers, product managers and designers to deliver high-quality results that meet client needs. • You will manage timelines, resources, budgets, and project quality to ensure not only client satisfaction but also the creation of innovative, scalable solutions that position our company as a market leader in the energy sector. • In addition to delivery, you will play a key role in supporting the Industry Managing Director (MD) by contributing to the growth of new and existing client accounts. • You will help develop and pitch new, innovative AI propositions, collaborate with cross-functional teams to scope enterprise AI projects, and position the company for sustained growth through strategic upselling and business development.

About Sand Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We’re pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world’s biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m people in a country to get world-class healthcare despite a shortage of doctors. We’ve grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. We’re underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. About the role We are seeking an experienced Senior Data Scientist to join our growing data science team. As a key contributor, the Senior Data Scientist will be responsible for using their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within our organisation and those of our clients. The ideal candidate will have a strong background in statistics, machine learning and data analysis, along with a proven track record of delivering impactful, scalable solutions - with demonstrated experience getting data science solutions into production. Key responsibilities are: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. You are skilled in, and continue to improve upon your knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into scalable products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Perform cutting edge research in Physical AI, at the intersection of engineering models and AI. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements - Essential