Senior AI-on-Sales Specialist
il y a 5 jours
City of London
About Envision: Envision Energy is a world-leading green technology company that provides renewable energy solutions for global enterprises, governments, and institutions. Encompassing three major business sectors - Smart Wind Turbines, Energy Storage, and Green Hydrogen Solutions, Envision Energy collaboratively constructs comprehensive solutions for energy transformation. Envision Energy has received several accolades for its sustainability performance, including the EcoVadis Gold Medal and the CDP “A-List”. It was also recognized in Fortune's “Change the World” list and ranked among the top 10 smartest companies by the MIT Technology Review. Today, Envision Energy leverages its global network of R&D and engineering centers across China, the United States, UK, France, Germany, Denmark, etc. to continuously lead global green technology development. Envision Energy joined the Science Based Targets initiative (SBTi) and committed to achieving the "Business Ambition for 1.5°C" in 2021. It has achieved carbon neutrality across its global operations by 2022 and will achieve carbon neutrality throughout its value chain by 2028. About the role: We are seeking a highly technical and dynamic AI Sales Specialist/Engineer to be the crucial bridge between our advanced technology and our customers' strategic goals. You will be more than just a salesperson; you will be a trusted advisor, a technical expert, and a solution architect. Your mission is to deeply understand client pain points, design and demonstrate compelling AI-powered solutions, and prove tangible business value, ultimately driving the adoption of our platform. Key responsibilities: Technical Solutioning & Discovery (40%) • Conduct deep-dive discovery sessions with Executives, IT leaders, and business unit heads to understand their unique challenges, data landscape, and strategic objectives., • Architect and propose tailored AI solutions that clearly map our technology to the client's specific use cases and desired business outcomes (e.g., increased revenue, reduced costs, improved customer experience)., • Partner closely with the Account Executive to develop and execute a winning strategy for complex enterprise deals., • Own the technical sales cycle, including responding to RFPs/RFIs, addressing security and technical questionnaires, and mitigating competitive threats., • Articulate complex AI concepts (e.g., model training, data pipelines, MLOps, LLM fine-tuning) in a clear, accessible, and business-relevant manner to both technical and non-technical audiences., • Serve as the voice of the customer, providing critical feedback to our Product and Engineering teams to inform the product roadmap., • Maintain a deep, hands-on understanding of our AI platform, its APIs, and its underlying architecture., • Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus., • 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company., • Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP)., • Proven ability to design and deliver compelling POCs and technical demonstrations., • Excellent presentation, whiteboarding, and written communication skills., • Ability to travel up to 30% for client meetings and industry events., • A Hybrid Thinker: You are fluent in both the language of business (ROI, TCO, KPIs) and the language of technology (APIs, models, data infrastructure)., • A Problem-Solver: You are naturally curious and excel at diagnosing complex business problems before jumping to a solution., • An Influencer: You have the presence and communication skills to build credibility with senior executives and the patience to guide technical practitioners., • A Hands-On Builder: You are comfortable in a demo environment, writing simple scripts, and building custom scenarios to prove a point. Highly Desired: • Direct experience with our specific AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company)., • Understanding of MLOps principles and the end-to-end machine learning lifecycle., • Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos., • A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage.