Location: Remote Work Style: Remote-first, Global Collaboration About Taiyō.AI Taiyō.AI is a global vertical AI company built for the infrastructure, construction, and real-assets ecosystem. Our platform helps governments, developers, EPCs, suppliers, and investors see projects, risks, and opportunities with unprecedented clarity. We combine procurement and project data, geospatial intelligence, market forecasts, and advanced AI workflows to support business development, risk management, and execution across the full project lifecycle. We work with Fortune 500 firms, global contractors, investors, and public agencies across the U.S., Europe, India, the Middle East, and Africa. Our team operates with speed, curiosity, and deep commitment to changing how the world builds. Role Overview We are seeking an Account Executive / Sales Lead to drive enterprise sales, build lasting client relationships, and expand Taiyō’s footprint across key markets. This role requires a structured, proactive communicator who owns every stage of the sales process—from first outreach to onboarding, expansion, and long-term account development. The ideal candidate brings strong enterprise sales experience, exceptional communication and follow-through habits, and the ability to work in fast-moving global environments. Domain knowledge in infrastructure, construction, real assets, or capital projects is a plus, but not required. Key Responsibilities Enterprise Sales & Growth Drive full-cycle enterprise sales: sourcing, outreach, discovery, product positioning, negotiation, and close. Identify new opportunities within key accounts and expand relationships across business units, regions, and senior leadership. Develop territory plans and account-based strategies tailored to sector and geography priorities. Client Engagement & Relationship Management Build deep, trusted relationships with executives, project directors, strategy teams, and technology buyers. Lead product walkthroughs, capability workshops, and problem-solving sessions with clients. Serve as a strategic partner to client teams; understand their workflows and advise on how Taiyō.AI can support business development, planning, and risk management. Process, Systems, and Structure Maintain rigorous pipeline hygiene and follow-up discipline using CRM tools (HubSpot experience strongly preferred). Develop repeatable approaches for outreach, messaging, meeting structures, business reviews, and customer engagement. Track performance metrics (leads, conversion rates, deal velocity) and refine playbooks. Cross-Functional Coordination Work closely with Product, Data, and Customer Success teams to ensure seamless onboarding and value realization. Provide structured feedback and insights to help shape product roadmap and market positioning. Represent Taiyō.AI at industry events, conferences, and client workshops (virtual and in-person). Qualifications Required 4+ years experience in B2B SaaS or Enterprise Software Sales. Proven success managing complex sales cycles and closing deals with large organizations. Ability to communicate clearly, confidently, and empathetically with senior stakeholders. Strong organizational discipline — meticulous with follow-up, CRM tracking, and documentation. Comfortable working across global time zones and collaborating with international teams. Analytical mindset: able to understand workflows, quantify value, and articulate ROI. Preferred Exposure to infrastructure, construction, real assets, engineering, capital projects, government procurement, or supply chain. Experience engaging with consulting firms, investors, EPCs, or public agencies. Familiarity working in American business culture and/or global corporate environments. What We Value Curiosity and willingness to learn domain knowledge fast. High trust, integrity, and ownership. Determination — you follow through until the job is done. Ability to operate with clarity in high-growth, evolving environments. Commitment to excellence in communication and client experience. Growth & Opportunity Work directly with founders and senior leadership. Grow into managing strategic accounts, regional pipelines, or vertical-market segments. Opportunity to build the GTM foundation of a fast-scaling vertical AI company. Compensation Competitive base salary + performance-based incentives. Potential equity participation based on experience and fit. Global, remote-friendly work environment with travel opportunities.
Location: Remote – Global Experience: 2–4 Years Company: Taiyō.AI — Cognitive Infrastructure for the World’s Largest Industry About Taiyō.AI Taiyō.AI is the first vertical AI platform purpose-built for the global infrastructure ecosystem—construction firms, engineering companies, suppliers, insurers, investors, and governments shaping the built environment. We integrate project & procurement data, geospatial layers, supply networks, operational records, market intelligence, and technical documentation into an intelligent cognitive layer that allows organizations to see projects, risks, and opportunities with unprecedented clarity. Our platform includes: Enterprise knowledge graph and data mesh spanning millions of infrastructure records globally Generative AI agents for strategic insights, risk discovery, and project planning Custom LLM fine-tuning and evaluation for real-world enterprise workflows Multimodal interfaces supporting geospatial, document, chat, and structured data workflows We are a global team operating at the intersection of AI systems, economics, infrastructure delivery, and organizational decision-making. Role Overview We are hiring a Generative AI Lead to architect, train, fine-tune, evaluate, and deploy models that power Taiyō’s core intelligence layer. This person will work hands-on—experimenting with modern model architectures, embeddings, vector retrieval, knowledge graphs, RAG pipelines, evaluation frameworks, agentic planning systems, and emerging multimodal models. This is a foundational role. You will shape the technical direction of our AI stack and help move the industry from intuition and legacy data systems to measurable cognitive intelligence. Key Responsibilities Modeling & Systems Engineering Lead design and implementation of custom fine-tuning, RAG pipelines, embeddings, vector stores, and model evaluation frameworks. Build and optimize knowledge graph + generative retrieval pipelines that operate across highly heterogeneous data modalities. Evaluate trade-offs between open-weight models (LLaMA, Mistral, Qwen, etc.) and frontier API-based models. Develop scalable inference and caching strategies (vLLM, GGUF, quantization, distributed inference). Multimodal & Dataset Engineering Work across text, tabular, geospatial, PDF/document, and image/plan drawing modalities. Construct large-scale curated datasets for supervised fine-tuning, preference tuning, and reward modeling. Design automatic data labeling, embedding clustering, and synthetic data generation pipelines. Evaluation & Reliability Develop quantitative evaluation benchmarks for reasoning quality, hallucination resistance, retrieval accuracy, and domain precision. Support “reliability engineering” approaches for production AI — fallback logic, uncertainty scoring, confidence calibration. Cross-Functional Collaboration Work closely with product, customer success, and domain experts (infrastructure, economics, construction planning). Translate complex workflows into agentic task orchestration systems that deliver real business outcomes. Qualifications Required Strong programming background (Python, PyTorch, JAX or TensorFlow). Deep familiarity with LLM fine-tuning, embeddings, RAG, vector databases, and LLMOps workflows. Strong understanding of machine learning theory: probability, optimization, statistical learning, and empirical evaluation. Experience shipping production ML systems (not only research prototypes). Preferred Experience with geospatial data, document intelligence, or enterprise knowledge systems. Familiarity with distributed systems, GPUs, training pipelines, and memory optimization. Experience in infrastructure, engineering, supply chain, or real-asset domains (not required, but valuable methodologically). Nice to Have Knowledge of agent-based planning, reasoning models, chain-of-thought alignment, RLHF, DPO, or model distillation. Experience working with American and/or global enterprise customer expectations. What We Value Depth + clarity of thought Intellectual honesty and precision Ability to move from research → prototype → production Curiosity about how society builds, finances, and maintains infrastructure Comfort in ambiguity; bias toward outcome and simplicity Growth & Opportunity Lead and scale the AI team as we expand. Shape a new class of cognitive systems for real-world industries. Work directly with founders, researchers, and global industry leaders. Influence product strategy, research direction, and system architecture at a foundational level. Compensation Competitive salary based on experience Meaningful equity participation Remote-friendly with periodic global travel opportunities (US / EU / India / Middle East)