About UsWe are a consulting firm specializing in Transaction Advisory Services, helping clients navigate mergers, acquisitions, and financial strategies. As we continue to integrate AI and automation into our workflows, we are seeking a highly skilled Go-To-Market (GTM) Engineer to bridge the gap between our AI-driven solutions and market adoption. This role will focus on deploying AI technologies, collaborating with clients to tailor solutions to their needs, and driving successful implementation to enhance efficiency, optimize data analysis, and improve decision-making processes.A GTM (Go-to-Market) Engineer is a technical professional who bridges the gap between product development and sales, ensuring that a company's products or services are effectively positioned for market success. This role combines technical expertise with strategic and customer-facing responsibilities to optimize the product launch, sales, and customer adoption processes. Role & responsibilities Product Enablement & Sales SupportWork closely with sales teams to provide technical expertise during the sales cycle.Develop sales enablement materials, such as demos, case studies, and technical documentation.Conduct training sessions for sales teams to ensure they understand product capabilities.Customer Engagement & Pre-Sales SupportEngage with potential customers to understand their technical requirements and business needs.Perform product demonstrations and proof-of-concept implementations.Address technical objections and provide solutions to customer pain points.Product Positioning & Market FitCollaborate with product managers, marketing teams, and engineers to refine the products value proposition.Gather feedback from customers and sales teams to improve the product.Assist in defining competitive differentiation strategies.Automation & ScalabilityDevelop tools, scripts, and workflows to improve sales efficiency and onboarding processes.Automate repetitive tasks to streamline the GTM motion.Post-Sales Support & Customer SuccessAssist in onboarding new customers, ensuring smooth implementation.Work with customer success teams to optimize product adoption.Preferred candidate profile Bachelor's or Master's degree in Computer Engineering, AI, Data Science, Business Analytics, or a related field.Strong understanding of AI/ML models (LLMs, NLP, and automation tools) and their practical applications in business environments.Proficiency in Python, Java, or scripting languages for integration and customization of AI-driven solutions.Experience in bringing AI-driven products to market, working closely with customers to deploy and integrate solutions.Understanding of M&A, private equity, and investment banking workflows is a strong advantage. Experience with financial data analysis, transaction modeling, or advisory services is a plus.Strong problem-solving skills and ability to work in a fast-paced consulting environment.Ability to work independently and collaborate with cross-functional teams to implement AI-driven efficiencies.

About UsWe are a consulting firm specializing in Transaction Advisory Services, helping clients navigate mergers, acquisitions, and financial strategies. As we continue to integrate AI and automation into our workflows, we are seeking a highly skilled AI Engineer with a computer engineering background to develop AI-driven solutions that enhance efficiency, optimize data analysis, and improve decision-making processes.Role OverviewWe are looking for an AI Engineer who will be responsible for designing, implementing, and optimizing AI prompt engineering, LLM-based applications, and automation systems to support transaction advisory services. This role involves developing AI-driven tools to streamline financial modeling, data extraction, report generation, and market analysis.Role & responsibilitiesAI Prompt Engineering & Optimization: Develop and fine-tune Large Language Model (LLM) prompts to enhance financial analysis, deal structuring, and due diligence processes. Optimize AI-generated outputs for accuracy and relevance in transaction advisory workflows, while implementing prompt chaining techniques and fine-tuning models for custom advisory use cases.AI System Development & Automation: Build and integrate AI-powered financial modeling and data analysis tools to improve workflow efficiency in valuation, risk assessment, and transaction structuring. Develop AI-driven chatbots and virtual assistants to enhance internal research and client interactions. Collaborate with consultants to identify opportunities for AI automation within M&A advisory and investment analysis.Data Processing & AI-Driven Insights: Implement AI solutions for data extraction from financial statements, contracts, and market reports. Enhance predictive analytics models for deal sourcing, market trend analysis, and valuation forecasting. Automate report generation and financial summaries using LLMs to streamline decision-making and improve accuracy.Collaboration & AI Strategy Implementation: Work closely with finance, technology, and consulting teams to integrate AI solutions into advisory services. Stay updated on the latest advancements in AI, LLMs, and financial AI applications. Ensure all AI-driven solutions comply with industry regulations and data security standards.Preferred candidate profile Bachelor's or Master's degree in Computer Engineering, AI, Data Science, or a related field.Experience with AI/ML models, specifically LLMs (GPT, Claude, Llama, etc.) and NLP frameworks.Strong background in prompt engineering, fine-tuning, and AI tool development.Proficiency in Python, TensorFlow, PyTorch, OpenAI API, LangChain, and other AI frameworks.Understanding of M&A, private equity, and investment banking workflows is a strong advantage. Experience with financial data analysis, transaction modeling, or advisory services is a plus.Strong problem-solving skills and ability to work in a fast-paced consulting environment.Ability to work independently and collaborate with cross-functional teams to implement AI-driven efficiencies.