Senior Pre-Sales Engineer - Machine Learning and AI
As a Senior Presales Engineer, you will be a critical part of our sales process, acting as a subject matter expert who drives the technical sale and influences purchasing decisions. You will lead strategic presales initiatives, designing and demonstrating advanced technical solutions that align with complex business problems. Your expertise in bridging technical complexities with clear business value will be crucial in guiding clients through the sales journey, from initial discovery to successful implementation. This role demands exceptional communication skills, problem-solving abilities, and a proven track record of influencing business decisions through impactful technical engagements. You will also play a pivotal role in integrating cutting-edge AI capabilities into our presales processes, enhancing efficiency and customer engagement. This is an exciting opportunity to make a significant impact on our company's growth and client success
The Day Job
Advanced Solution Design & Strategy:
Lead the design, customisation, and optimisation of technical solutions and frameworks that solve complex customer problems.
Map technical capabilities to specific business objectives, ensuring the proposed solution delivers tangible value and ROI
Presales Presentations & Demonstrations:
Deliver compelling and interactive product demonstrations and presentations to diverse audiences, including C-level executives and technical end-users.
Translate complex technical features into clear business benefits, focusing on the customer's perspective and needs.
Technical Deep Dives & Expertise:
Act as the primary technical point of contact, answering complex technical questions and addressing concerns regarding integration, performance, scalability, and security
Discovery & Qualification:
Lead comprehensive discovery calls to deeply understand prospect pain points, goals (financial, customer-related, operational), existing processes, budget, authority, need, and timeline (BANT framework). Research prospects and their companies to gain valuable context ahead of calls
Proposal Development:
Generate tailored technical content, statement of works, architect solution proposals, and contribute to RFX responses, ensuring accuracy and alignment with client requirements. Leverage AI tools for efficient content generation and proposal drafting
Objection Handling & Negotiation:
Employ a strategic and empathetic approach to address and resolve client concerns (technical, functional, pricing). Utilise active listening, probing questions, and value-based selling to overcome objections and facilitate successful deal closures
Collaboration & Cross-Functional Alignment:
Collaborate closely with Account Executives, Product Management, Engineering, and Customer Success teams to define solution objectives, integrate presales insights into product roadmaps, and ensure seamless customer onboarding
AI Integration & Application:
Proactively explore, evaluate, and integrate AI tools (e.g., Generative AI in Snowflake Cortex) to automate repetitive tasks, improve content generation, summarise calls, answer technical questions, and optimise sales pitches and meeting preparations.
Ensure ethical and responsible use of AI outputs, verifying accuracy and managing potential hallucinations
Team Leadership & Mentorship:
Mentor and guide junior presales engineers, providing expertise on best practices, methodologies, and tools for solution design and client engagement. Foster a culture of continuous improvement and innovation within the presales team
Continuous Learning & Industry Awareness:
Stay abreast of industry trends, emerging technologies, and best practices in presales, AI, and our specific product domain.
Engage in ongoing professional development opportunities to enhance skills and knowledge
Candidates will ideally have the following technical skills and knowledge
Product & Solution Expertise: Deep mastery of our product/solution portfolio, including its unique value proposition, competitive differentiators, and ecosystem integrations.
Technical Communication & Storytelling: Proven ability to simplify complex technical concepts and present them in a compelling, client-focused narrative that resonates with business needs and drives buy-in.
AI/ML Tools & Concepts: Experience with generative AI platforms (e.g., Snowflake Cortex, Chat GPT) and prompt engineering for presales use cases such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and presales.
Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction.
Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles.
Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders.
Business Acumen: Deep understanding of business operations, financial implications, and strategic goals, enabling effective translation of technical insights into actionable business recommendations
Relevant Work Experience:
5+ years of progressive experience in a presales, sales engineering, solutions architecture, or highly technical customer-facing role. A proven track record of delivering impactful technical solutions and achieving sales targets. Experience navigating complex sales cycles and engaging with multiple stakeholders.
Certifications: Relevant certifications in presales, sales engineering (e.g., Snow Pro core+), cloud platforms (e.g., Azure, Google Cloud), or domain-specific technologies.
Project Portfolio: Demonstrated experience working on complex customer engagements, including solution design, proof-of-concept execution, and technical validation, with a portfolio showcasing successful outcomes and strategic insights.
Technical Workshops or Training: Participation in advanced workshops or training focused on presales strategies, emerging technologies, AI/ML, or business intelligence tools, demonstrating a commitment to ongoing professional development
Mayflower is acting as an Employment Agency in relation to this vacancy