Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Presales Consultant IBM

WNTD
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Consultant, AWS Professional Services

Senior Data Science Consultant, AWS Professional Services

Senior Data Science Consultant, AWS Professional Services

Senior Data Science Consultant, AWS Professional Services

Senior MLOps / Machine Learning Engineer: LLMs & Agentic AI - Reply

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - EMEA

Our client is looking for an exceptional Presales Solution Lead (IBM) to work closely with their Solution Sales Specialists. In this role, you will guide customers in selecting technologies and leverage our professional services to establish trusted advisor relationships with some of the world's largest enterprises. You will be the primary technical advocate for the IBM vendor ecosystem, helping your colleagues position IBM’s technology solutions and associated services effectively.


What You’ll Do

  • Collaborate with cross-functional teams to integrate IBM capabilities into our solutions and services, shaping the overall strategy and service development.
  • Stay updated on IBM’s latest developments in Storage, AI, and machine learning, applying these advancements to solve complex challenges.
  • Work independently and alongside Solution Sales Specialists and Account Managers to identify, qualify, and progress complex transformation opportunities in IBM Storage and Software.
  • Position IBM technologies within our core professional services catalog.
  • Build strong relationships with key customer stakeholders, acting as a trusted advisor on technical strategy.
  • Act as an internal expert on our go-to-market propositions and advocate for these within the sales community.
  • Provide excellent presentation and documentation skills.
  • Offer technical leadership and mentorship, guiding junior team members and participating in knowledge-sharing activities.


Additional Responsibilities

  • Represent the company at partner boards, forums, relevant events, and conferences, sharing knowledge across the business.
  • Engage with a broad virtual team including Professional Services, Managed Services, Solution Leaders, and Architects to help customers procure technology solutions and services.
  • Provide market insights and proposition updates to the Solution Sales Specialist within customer opportunities for both new and core solutions.
  • Understand customer challenges and requirements, feeding these insights into our development program to ensure solutions are aligned with market needs.
  • Collaborate with marketing teams to ensure technical solutions are effectively translated into customer messaging.
  • Attend customer meetings to understand and articulate both business and technical strategies.
  • Support the development of sales enablement materials and training for each solution.


What You'll Need

  • Proven experience in managing customer relationships from a technology perspective.
  • Demonstrated success in creating innovative customer solutions and identifying commercial opportunities.
  • Experience in helping customers procure professional services in conjunction with technology solutions.
  • Strong knowledge of AI, machine learning algorithms, and deep learning frameworks.
  • Understanding of Edge, Data Center, and cloud architectures, especially in relation to Data and AI use cases.
  • Experience in developing and deploying AI models in production environments, ideally on IBM platforms.
  • Excellent problem-solving abilities and a collaborative team-oriented approach.
  • Strong client-facing communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Proven pre-sales and delivery experience in enterprise Data and AI technologies.


If you have the technical expertise and a passion for helping customers succeed with cutting-edge IBM solutions, we’d love to hear from you!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.