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Senior Pre-Sales Engineer
Lumilinks Group Ltd
- London, England, United Kingdom
- London, England, United Kingdom
Über
Senior Pre-Sales Engineer
role at
Lumilinks Group Ltd
Location: Hybrid working – 2-3 days per week in London office / Remote working
Terms: Permanent fulltime following successful probation
Reports to : CTO
Note:
The role description includes responsibilities, qualifications, and expectations related to presales leadership, AI integration, and collaboration across teams to drive sales and customer success.
The Role 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.
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.
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.
Aspiring & Personal Attributes
Driving Strategic Deal Making:
Aspire to influence strategic purchasing decisions and drive growth and efficiency for clients.
Advancing Presales Methodologies:
Stay at the forefront of presales by adopting new methodologies, tools, and technologies, particularly in AI.
Leadership & Mentorship:
Lead and mentor presales professionals, fostering a culture of innovation and continuous improvement.
Thought Leadership:
Establish yourself as a thought leader through publications, presentations, and industry engagements.
Shaping Business & Product Strategy:
Provide market and customer feedback from presales engagements to influence product and sales strategy.
Technical Skills & Knowledge
Product & Solution Expertise:
Deep mastery of our product/solution portfolio, including value proposition, differentiators, and ecosystem integrations.
Technical Communication & Storytelling:
Ability to simplify complex technical concepts into a client-focused narrative.
AI/ML Tools & Concepts:
Experience with generative AI platforms and prompt engineering for presales use cases; understanding of AI augmentation of sales processes.
Programming & Scripting:
Proficiency in Python or R, with SQL experience for data extraction.
Cloud Architecture & Data Management:
Knowledge of AWS, Google Cloud, Azure, data warehousing, ETL, data pipelines, and governance.
Data Visualisation & Reporting:
Experience with Tableau or Power BI for dashboards and reports.
Business Acumen:
Understanding of business operations, financial implications, and strategic goals.
Experience & Certifications
Relevant Work Experience:
5+ years in presales, sales engineering, solutions architecture, or a highly technical customer-facing role with a track record of delivering solutions and hitting targets.
Certifications:
Relevant presales, sales engineering, cloud, or domain-specific certifications.
Project Portfolio:
Experience on complex engagements with solution design, PoC, and technical validation, with outcomes and insights.
Technical Workshops or Training:
Participation in advanced presales, AI/ML, or BI trainings.
London, England, United Kingdom
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Sprachkenntnisse
- English
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