Role Description Aion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. We work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters. As a customer-focused AI consultant and software engineer, you will: - Partner with enterprise customers to understand their business challenges, workflows, and AI transformation goals. - Conduct discovery workshops, technical assessments, and solution design sessions to identify high-impact AI opportunities. - Advise customers on AI strategy, implementation roadmaps, and best practices for enterprise AI adoption. - Translate complex business requirements into scalable AI solutions aligned with customer objectives. - Design end-to-end AI solution architectures using Aion's enterprise AI platform. - Create scalable, secure, and production-ready architectures for AI applications, intelligent agents, automation workflows, and enterprise integrations. - Define technical solution blueprints covering infrastructure, data flows, APIs, security, and deployment strategies. - Collaborate closely with engineering teams to ensure successful implementation of customer solutions. - Lead technical solution delivery from proof of concept through production deployment. - Work alongside customers during implementation, ensuring successful integration with existing enterprise systems. - Support solution validation, performance optimization, testing, and production readiness. - Resolve technical challenges and recommend architecture improvements throughout project execution. - Partner with Product, Engineering, AI, Customer Success, and Sales teams to continuously improve Aion's platform and customer experience. - Provide customer feedback that influences product roadmap and platform capabilities. - Support technical demonstrations, solution workshops, RFP responses, and executive presentations. - Develop reusable architecture patterns, reference implementations, and best practices for enterprise AI deployments. - Stay current with advancements in AI, Large Language Models, agentic AI, cloud infrastructure, and enterprise software. - Represent Aion at customer meetings, industry events, and technical workshops. - Contribute to solution playbooks, architecture documentation, and technical enablement materials. - Help establish Aion as a trusted advisor in enterprise AI transformation. Qualifications - 5+ years of experience in Solutions Architecture, Technical Consulting, Enterprise Architecture, or Software Engineering. - Experience designing and delivering enterprise software, cloud, or AI solutions for customers. - Strong understanding of Large Language Models, Generative AI, Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI architectures. - Experience with cloud platforms including AWS, Azure, or Google Cloud Platform. - Understanding of APIs, microservices, distributed systems, and enterprise integration patterns. - Experience designing secure, scalable, and highly available enterprise solutions. - Familiarity with Kubernetes, Docker, cloud-native technologies, and modern application architectures. - Ability to communicate complex technical concepts to both technical and non-technical stakeholders. - Experience working with cross-functional teams across engineering, product, sales, and customer success. - Strong presentation, documentation, and stakeholder management skills. Requirements - Enterprise AI: Experience implementing enterprise AI platforms, intelligent automation, AI copilots, multi-agent systems, or AI workflow orchestration. - Industry Consulting: Experience working with customers across financial services, healthcare, manufacturing, retail, public sector, or other enterprise industries. - Cloud & Infrastructure: Hands-on experience with cloud architecture, Infrastructure-as-Code, DevOps, MLOps, or enterprise platform engineering. - Pre-sales & Customer Success: Experience supporting enterprise sales cycles, solution demonstrations, technical workshops, or proof-of-concept engagements. - Enterprise Integrations: Experience integrating AI solutions with enterprise applications, CRMs, ERPs, productivity suites, and business systems. Benefits - Work directly with high-pedigree founders shaping technical and product strategy. - Build infrastructure powering the future of AI compute globally. - Significant ownership and impact with equity reflective of your contributions. - Competitive compensation, flexible work options, and wellness benefits.

• Provide senior architectural leadership across the BOYLE Sports platform. • Translate platform strategy into actionable designs and set technical direction. • Own and execute transformation architecture, including AWS migration. • Ensure performance and mobile experience of the new sportsbook front end. • Oversee the surgical decomposition of the Oracle monolith into microservices. • Work closely with engineering squads and the Head of Engineering Delivery to deliver solutions.

• Develop and execute integrated marketing campaigns (digital, email, content, events) across multiple genotyping product and services • Deliver full-funnel, multichannel campaigns (digital, content, events, email) that support strategic account growth, cross-sell, and upsell objectives - including the development of automated nurture streams to engage prospects and move leads efficiently through the funnel. • Develop and implement organic social media strategies, including the creation of template LinkedIn posts and guidance to support consistent messaging and engagement across the wider LGC commercial team. • Support high-impact product launches with tailored go-to-market campaigns, working in close collaboration with Product Management and Commercial teams. • Planning and organisation of tradeshows and industry events, including logistics, booth preparation, promotions, collateral, and cross-functional coordination to ensure seamless execution. Attending at least one to two events per calendar year. • Drive new business and expansion through account-based marketing (ABM) strategies tailored to high-priority segments and customer needs. • Collaborate with Sales and Product Management to ensure messaging, targeting, and timing are fully aligned with business priorities. • Apply a test-and-learn mindset to campaign development, using experimentation to optimise messaging, channels, and tactics and iterating based on performance insights. • Manage campaign-related lead imports and perform initial QA checks to ensure leads are routed correctly and follow-up can proceed smoothly - partnering with the Marketing Operations team where needed for system support. • Collaborate with distribution teams to support growth within indirect channels, ensuring alignment on messaging, targeting, and campaign strategy. • Collaborate with Sales to develop and deliver sales enablement materials (e.g. sell sheets and follow-up templates) that support effective outreach, improve conversion, and reinforce campaign messaging. • Proactively build internal and external networks to gather Voice of Customer (VoC) insights and identify Key Opinion Leaders (KOLs) - helping to shape campaign messaging, uncover unmet needs, and strengthen go-to-market strategies. • Clearly communicate marketing plans, priorities, and campaign outcomes to internal stakeholders through regular updates, dashboards, and presentations - ensuring alignment, transparency, and shared accountability across teams. • Create high-quality content including application notes, case studies, sales enablement tools, and campaign assets aligned to partner and customer needs. • Monitor and report on campaign performance (MQLs, conversion rates, ROI), providing insights and recommendations to improve impact. • Use AI tools and marketing automation platforms to scale execution and enhance targeting, segmentation, and content efficiency. • Contribute to the continuous improvement of marketing processes, systems, and best practices across the wider team. • Build strong cross-functional relationships and act as a strategic marketing partner to internal stakeholders.

• Lead a global, multi-layered team. Manage and develop distributed managers and their teams of Sales Engineers and Solutions Consultants across regions. Hire, coach, and retain top technical talent; set clear career paths; and build a culture of technical excellence, curiosity, and customer obsession. • Own the technical win in pre-sales. Lead the Sales Engineering team to drive pipeline conversion through world-class demos, proofs of concept, technical discovery, and value engineering — consistently earning the technical decision. • Own the post-sales technical escalation path. Lead the Solutions Consultants team as the technical escalation path for CSMs and the driver of technical cross-sell across our product suite. (Note: with a dedicated Professional Services team being stood up, Solutions Consultants are not expected to own customer onboarding today — though this scope may evolve.) • Stay hands-on when it counts. Be willing and able to personally jump into a high-stakes customer call and lead it — you set the technical bar by example, not just from the org chart. • Elevate RFPs and security assessments. Build a scalable, high-quality function for RFPs, security questionnaires, and technical/security assessments — improving accuracy, consistency, and turnaround, and building reusable content that raises win rates. • Enable and scale the channel. Technically enable partners — training, certification, demo readiness, and deal support — so they can independently represent and implement our product. • Partner with Enablement. Work with Sales Enablement to design and deliver technical training, certification, demo standards, and competitive playbooks that keep the team and the wider revenue org sharp. • Be the voice of the customer to Product. Capture field and technical feedback and channel it to Product and Engineering to influence the roadmap. • Operate as a revenue leader. Contribute to forecasting, capacity planning, and go-to-market strategy with the CRO and revenue leadership team, and define the metrics and processes that make the function measurable and scalable.