CARBON3

Sales

• Define and lead Carbon3.ai’s partner go to market strategy aligned to industry use cases and the broader solution stack.
• Co develop joint value propositions with strategic partners (consultancies, GSIs, ISVs, and technology providers).
• Build and manage the Partner Program framework including tiers, benefits, enablement, training, and certification.
• Design and implement onboarding journeys from contract to activation, ensuring partners are sales and delivery ready.
• Drive partner enablement, training, and communications through playbooks, portals, and joint campaign resources.
• Lead co selling and commercial planning initiatives, tracking partner sourced and partner influenced revenue.
• Coordinate cross functionally with Sales, Product, and Customer Success to embed GTM into onboarding and lifecycle processes.
• Track and report performance through CRM and partner management tools, providing actionable insights on engagement, health, and impact.
• Support partner events, QBRs, and co marketing campaigns to deepen ecosystem engagement and recognition.

Director, Partner Sales – Development

• Own the sales strategy and pipeline for one or more priority industry verticals.
• Engage senior decision-makers across large enterprises and public sector organisations.
• Translate industry needs into compelling AI infrastructure value propositions.
• Develop and refine go-to-market plans for each target sector.
• Collaborate with Product and Partnerships to build and take industry-specific solutions to market.
• Lead strategic proposals, bids, and presentations to C-level stakeholders.
• Track and report pipeline performance, win rates, and account growth.
• Represent Carbon3 externally as a credible voice on sovereign AI and sustainability.

Enterprise Sales Lead – Industry

Revenue Operations

• Develop, execute, and continually enhance a comprehensive RevOps strategy linked to Carbon3.ai’s business objectives and long-term vision.
• Identify key growth levers, optimize the customer journey, and ensure scalable, repeatable revenue motions across the business.
• Streamline and scale revenue-generating processes across sales, marketing, and customer success to deliver measurable efficiency and pipeline growth.
• Lead sales operations activities, including pipeline management, process documentation, territory planning, and quota setting.
• Build and maintain robust reporting frameworks for revenue metrics, performance dashboards, and predictive analytics.
• Oversee the selection, implementation, and management of the RevOps stack (CRM, marketing automation, sales enablement, analytics) to enable seamless workflow and high adoption.
• Drive strong alignment between GTM teams, ensuring unified objectives, integrated processes, and effective cross-team execution.
• Define, track, and optimize KPIs across revenue operations, ensuring continuous performance improvement.

Head of Revenue Operations

Performance Marketing

• Develop, launch, and optimize digital and field demand generation campaigns.
• Manage paid media (search, social, display, programmatic) to maximize qualified leads (MQLs) and sales opportunities (SQLs).
• Build scalable reporting with leading platforms (Google Analytics, HubSpot, Salesforce).
• Align demand generation with product, sales, and engineering teams.

Marketing Manager – Performance Marketing, Demand Generation

Pre-sales Engineer

• Engage with enterprise customers to understand business goals and map them to AI workflows.
• Architect RAG pipelines, fine-tuning strategies, and inference endpoint deployments using our key products.
• Collaborate with GTM and sales teams during pre-sales cycles, workshops, and proof-of-concepts.
• Implement, optimise, and deploy models using PyTorch, HuggingFace, LangChain, and NVIDIA Triton.
• Execute fine-tuning and evaluation of foundation models for domain-specific use cases.
• Package and deploy models into scalable inference endpoints (REST/gRPC APIs, containerised or GPU-accelerated environments).
• Build pipelines that connect structured and unstructured enterprise data into vector databases and embedding models.
• Design semantic search and retrieval strategies to maximise response accuracy and relevance.
• Ensure all data pipelines are secure, compliant, and performant at scale.
• Work closely with infrastructure and platform engineering teams for smooth deployments.
• Feed insights into the product roadmap and platform feature development.
• Act as a thought leader and trusted advisor to customers exploring applied AI adoption.
• Develop and maintain 3–4 reusable solution accelerators (templates, playbooks, code repos) adopted across projects.
• Reduce model deployment cycle time by >30% through automation, tooling, or platform improvements.
• Train or mentor at least 2 junior engineers or solution architects in AI delivery best practices.
• Contribute 2+ technical case studies, blog posts, or conference talks showcasing Carbon3.ai’s AI solutions.
• Support pre-sales activities resulting in measurable influenced ARR aligned with GTM metrics.

Senior Pre Sales Engineer – AI Solutions

Systems Engineer

• Coordinate resolution of complex issues (L3) to (vendor) product/engineering teams and manage vendor responses
• Monitor system health, alerts, and customer usage patterns
• Document solutions/workarounds, create and maintain knowledge, document support procedures
• Automate common tasks and fixes
• Configure and integrate tooling to support optimal operation of the platform, and support tool selection
• Assist customers with platform configuration, onboarding, and usage best practices
• Collaborate with platform and infrastructure support/engineering teams to resolve platform integration issues
• Ensure SLAs and customer satisfaction targets are met
• L1 support for customer-reported issues and requests
• L2 support by diagnosing, replicating, and troubleshooting issues across platform and infrastructure
• Work with customers and multiple stakeholders to understand requirements and challenges, provide reporting on usage, workflow and billing

Lead Systems Engineer – HPC, AI

AI Engineer

• Own the end-to-end lifecycle for Orchestrator, ModelHub, and AI Studio from discovery through launch and iteration
• Define user-centred product requirements that balance technical feasibility, customer need, and commercial impact
• Run structured discovery with customers and partners; convert insights into a clear, prioritised roadmap
• Partner with engineering, design, and architecture to deliver high-quality features on time and to spec
• Establish UX and API standards for both technical personas (DevOps, ML engineers) and business users (AI leaders, data owners)
• Build product collateral, demos, solution briefs, use-case documents, and blueprint assets to support sales and delivery
• Instrument products with telemetry and define adoption, engagement, and reliability metrics; report progress to leadership team
• Ensure platform compliance with UK and EU data residency, security, and sovereignty requirements in partnership with legal and security teams