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- Tasks: Lead global AI initiatives and drive partner success through innovative training and enablement.
- Company: Join a leading tech company at the forefront of AI solutions.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the AI space while collaborating with global teams.
- Qualifications: 5+ years in program management or sales enablement, preferably in AI.
- Other info: Dynamic role with travel opportunities and a focus on continuous innovation.
The predicted salary is between 48000 - 72000 ÂŁ per year.
As the Global GTM AI Program Manager – Arrow ECS AI Accelerator, you will drive the success of Arrow’s three-pillar GTM program—Learn, Use, Create—by orchestrating enablement, adoption, and deployment of ArrowSphere AI solutions across global sales and channel teams. You will collaborate with internal stakeholders, technology vendors, and global partners to scale AI initiatives and accelerate partner readiness and adoption.
Define and execute the roadmap and strategy of all current and future products in a business group. Responsible for gathering and prioritising requirements, work closely with engineering, sales, marketing, and customer support to ensure customer satisfaction and support the company’s overall strategy and goals. Manage one or more products by working with VP to develop overall product strategy and administer tactical activities. Understand market opportunities and competition and specify market requirements for current and future products and deliver requirement documents/mock-up screens to the development teams. Closely work with marketing team to manage releases to customers, promotions and advertising. Collaborate with the sales team, prospects and current customers for feedback on current/future products. Provide the sales team with training and technical knowledge to help sell the product and professional services.
Key Responsibilities
- GTM Strategy & Execution: Lead global GTM strategy for the Learn–Use–Create AI Accelerator framework, tailoring to regional needs while maintaining global consistency. Launch awareness campaigns promoting program pillars—AI Academy, ArrowSphere Assistant, AI Factory. Act as primary liaison between Arrow ECS, vendors (e.g., IBM Watson®️), and partner teams to integrate vendor-specific accelerator tracks (e.g., watsonx‑perience).
- Partner Enablement & Training: Design and manage educational programs through Arrow’s AI Academy: assessments, hands-on workshops, tailored content to boost partner AI proficiency. Coordinate technical, pre-sales, and operations enablement activities to support deployment of AI assistants via ArrowSphere and AI Factory.
- Adoption & Implementation: Track partner progression through Learn → Use → Create stages. Facilitate onboarding to ArrowSphere Assistant, ensuring purposeful usage and integration into partner business processes. Support AI Factory implementations—assist partners in building and deploying AI solutions across GTM functions.
- Enablement Assets & Programs: Develop GTM collateral: playbooks, templates, demos, case studies, ROI calculators. Co-create marketing and enablement campaigns with internal RevOps, marketing, and vendor teams to drive engagement and upskill partners.
- Performance Metrics & Reporting: Define and monitor KPIs: partner AI proficiency levels, adoption rates, outcomes (e.g., efficiency improvements, revenue impact). Provide regular updates to global GTM leadership on program adoption, pipeline contribution, partner feedback, and ROI.
- Cross-Functional Stakeholder Management: Work closely with ArrowSphere product teams and vendor engineering to prioritise enhancements. Engage with regional ECS sales, partner management, and channel teams to align on roadmap and co-selling GTM activities. Coordinate virtual/live accelerator sessions and roadmap events globally.
- Continuous Innovation: Identify, pilot, and scale new AI use cases (e.g., AI-driven sales strategies, predictive analytics, cybersecurity) through the accelerator. Promote emerging vendor-specific accelerators (e.g., IBM watsonx-perience) where applicable.
Required Qualifications
- 5+ years in GTM program management, sales enablement, or RevOps, ideally in AI or technology partner ecosystems.
- Demonstrated success managing global enablement programs or partner accelerators.
- Solid understanding of AI academy-style learning, adoption mechanics, and enablement frameworks.
- Experience with solution acceleration platforms or digital enablement tools.
- Excellent ability to create and deliver engaging enablement assets and training.
- Strong stakeholder engagement skills—capable of influencing senior leaders and cross-functional teams.
- Ability to define measurable KPIs and analyse adoption/performance metrics.
- Willingness to travel globally (~10–20%) to support key events and partner workshops.
Location: UK-United Kingdom - Remote
Time Type: Full time
Job Category: Product & Supplier Management
Global AI Program Manager employer: Arrow Enterprise Computing Solutions Limited
Contact Detail:
Arrow Enterprise Computing Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global AI Program Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. The more connections we make, the better our chances of landing that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its products. We should know Arrow's AI solutions inside out and be ready to discuss how we can contribute to their success. Confidence is key!
✨Tip Number 3
Showcase our skills through real-life examples. When discussing our experience, let’s highlight specific projects or achievements that align with the role. This will help us stand out from the crowd.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression. Plus, it shows our enthusiasm for the role and keeps us on their radar.
We think you need these skills to ace Global AI Program Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in GTM program management and AI. We want to see how your skills align with our Learn, Use, Create framework!
Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of how you’ve driven success in previous roles. We love numbers, so include metrics that demonstrate your impact on partner enablement and adoption.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your key points stand out and are easy to read. Avoid jargon unless it’s relevant to the role!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Arrow Enterprise Computing Solutions Limited
✨Know Your GTM Strategy
Before the interview, dive deep into Arrow's GTM AI Accelerator programme. Understand the three pillars—Learn, Use, Create—and think about how your experience aligns with these. Be ready to discuss specific strategies you've implemented in previous roles that mirror this approach.
✨Showcase Your Collaboration Skills
This role requires working closely with various teams and stakeholders. Prepare examples of how you've successfully collaborated with sales, marketing, and engineering teams in the past. Highlight any cross-functional projects where you played a key role in driving success.
✨Demonstrate Your Understanding of AI
Brush up on current AI trends and technologies relevant to the role. Be prepared to discuss how you've leveraged AI in previous positions or how you envision using it to enhance partner readiness and adoption. This will show your passion and knowledge in the field.
✨Prepare for Performance Metrics Discussion
Since defining and monitoring KPIs is crucial for this position, come equipped with examples of how you've tracked performance metrics in past roles. Discuss how you used data to drive decisions and improve outcomes, showcasing your analytical skills.
