BD Executive

Full Org Path: Business Development Department Compensation: is discussed individually with each candidate based on experience. **About Dizzaract** Dizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results. **Role Summary** We are seeking a **Senior BD Executive** who lives and breathes the AI ecosystem. with deep expertise in AI models, inference, and MLOps commercialization. You won’t just be managing a pipeline; you will be leveraging your deep industry roots to open doors that others can’t. Your goal is to position FAR AI as the go-to inference solution for AI startups, scale-ups and engineering/dev teams globally. **Key Responsibilities** **Key Responsibilities** **1. Hunt & Close B2B Inference Deals** * Leverage your existing network of AI/ML decision-makers to open doors at AI startups, scale-ups, and enterprise engineering teams. * Own the full sales cycle for FAR AI inference: prospecting, technical scoping, negotiation, and closing. * Drive Monthly Recurring Revenue (MRR) through API subscriptions, licensing, and revenue-share agreements. **2. Monetize AI Inference & Models** * Translate technical value (latency, throughput, cost-per-inference, token pricing) into clear commercial propositions. * Package FAR Labs' proprietary models and R&D output (20+ patents) into sellable products for gaming, media, and security clients. * Partner with engineering to define pricing strategies and structure deals that maximize gross margin per inference. 3. Market Intelligence & Positioning * Track the competitive inference landscape (AWS Bedrock, Azure AI, Replicate, open-source) and identify where FAR AI wins on latency, cost, or domain specialization. * Feed market signals back to R&D to shape product direction. 4. Client & Technical Engagement * Act as the bridge between clients and ML engineers — scoping POCs, supporting API integration, and validating performance against SLAs. 5. Pipeline Ownership & Reporting * Own BD KPIs: active partnerships, MRR, CAC, and deal velocity. * Report directly to the COO and Director of BD on pipeline, forecasts, and strategic accounts. **Required Qualifications & Skills** * Proven Track Record: 3-5 years of experience in high-growth B2B sales, specifically within Cloud Infrastructure (IaaS), SaaS or AI hardware/software. * Deep AI Network: An active, "warm" network of decision-makers in the AI/ML ecosystem. * Technical Fluency: Deep understanding of the inference stack—concepts such as Token-per-second, KV caching, quantization and GPU cluster orchestration. * The "Hunter" Mindset: A relentless drive to close deals in a fast-paced, ambiguous environment where speed is a competitive advantage. * Familiarity with AI deployment tools: Hugging Face, TensorRT, vLLM, or cloud inference endpoints is a strong plus. * Excellent negotiation, communication, and presentation skills for technical and non-technical audiences. * Self-starter mindset, comfortable with remote work and fast-paced R&D environments. **Final Note** This role is for a business-savvy AI expert who wants to turn cutting-edge research into real revenue. You will have direct access to 20+ patents, a world-class R&D team, and an emerging AI ecosystem in Abu Dhabi. If you understand inference pricing models, can sell APIs to developers and enterprises, and want to shape the commercial future of AI in gaming — this is your opportunity. Application Question(s): * How many years have you spent selling AI/ML, cloud infrastructure (IaaS), or API-based developer products in a B2B context? * Describe the largest deal you've personally closed. Include: deal size (ARR or TCV), sales cycle length, and whether the relationship was inbound, outbound, or from your existing network. * Which of the following have you personally sold or closed deals around? (Select all that apply): - LLM APIs or inference endpoints - Cloud GPU/compute infrastructure - AI/ML platforms or MLOps tools - Traditional SaaS (CRM, HR, marketing tools) - Gaming technology or middleware - None of the above * Name 3-5 companies in the AI/ML ecosystem where you have existing warm relationships with decision-makers. You don't need to name the individuals — just the companies and the seniority of your contact(VP Engineering, Head of AI, CTO, or technical founders). * If we gave you your first 30 days, which 3 companies would you approach first to sell FAR AI inferen