At a Glance
- Tasks: Drive AI pipeline growth and develop strategic relationships across EMEA/LATAM.
- Company: Join NetApp, a leader in AI and data management.
- Benefits: Competitive salary, travel opportunities, and a chance to shape AI strategies.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 8+ years in business development with a focus on AI and cloud technologies.
The predicted salary is between 75600 - 92400 £ per year.
NetApp is uniquely positioned to help organizations unlock the value of AI through the data they already manage. With a significant share of the world's unstructured data residing on NetApp, we help enterprises and public sector organizations build and scale AI initiatives across training, inferencing, data pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating AI-related business growth across EMEA/LATAM. This is a highly strategic business development role focused on identifying opportunities, engaging customers and partners, and converting AI interest into measurable pipeline and bookings. Success is measured by pipeline creation, opportunity progression, and revenue impact.
Key Responsibilities:
- Drive AI Pipeline & Growth: Lead AI pipeline generation across EMEA/LATAM, creating qualified opportunities and driving business growth. Identify, prioritize, and engage target accounts using market insights, AI adoption trends, and installed-base opportunities. Partner with Sales, Marketing, and strategic partners to execute demand-generation activities that create pipeline and accelerate bookings. Build relationships with senior customer stakeholders and help shape AI strategies and opportunities. Expand AI adoption within existing customers and support acquisition of net-new AI-focused organizations.
- Develop AI Go-to-Market Strategy: Develop and refine AI value propositions covering AI infrastructure, data pipelines, sovereign AI, inferencing, and emerging AI workloads. Build repeatable go-to-market programs including account targeting, messaging, competitive positioning, and business value frameworks. Measure and optimize program performance based on pipeline generation, opportunity progression, and business impact.
- Enable Sales & Partners: Equip Client Executives, Systems Engineers, and partners with the tools and knowledge needed to identify and advance AI opportunities. Deliver enablement, account planning support, and strategic guidance to increase AI opportunity creation. Support key opportunities through executive engagement, business case development, and competitive strategy.
- Build the AI Ecosystem: Develop relationships with hyperscalers, GPU vendors, systems integrators, AI software providers, and cloud partners. Drive joint go-to-market initiatives and partner-led pipeline generation.
Success Measures:
- Generate consistent, high-quality AI pipeline across EMEA/LATAM.
- Increase AI-related bookings and improve conversion rates.
- Grow AI adoption within existing customers and secure new AI-focused accounts.
- Increase partner-sourced opportunities and ecosystem engagement.
- Drive adoption of AI sales plays across the wider Sales and technical organizations.
Job Requirements:
Required:
- 8+ years of experience in Business Development, Strategic Sales, Go-to-Market, AI, Cloud, or Enterprise Technology roles.
- Proven track record of generating pipeline and influencing business growth within emerging or high-growth technology markets.
- Experience creating target account strategies and executing measurable outbound demand-generation programs.
- Working knowledge of AI infrastructure, including GPU environments, model training and inferencing, data pipelines, RAG architectures, vector databases, and AI platforms.
- Ability to translate technical capabilities into business outcomes and executive-level value propositions.
- Strong stakeholder management, collaboration, and influencing skills across matrixed organizations.
- Fluent English and willingness to travel across EMEA/LATAM as required.
Preferred:
- Experience working with hyperscalers, AI ecosystem partners, systems integrators, or channel-led sales models.
- Understanding of AI regulation, data sovereignty, and compliance considerations across Europe and international markets.
- Experience building new GTM motions, market development programs, and strategic growth initiatives from the ground up.
- Existing relationships within the AI ecosystem, including AI startups, sovereign AI initiatives, cloud providers, GPU vendors, or AI-focused partners.
- Additional European language skills are advantageous.
Why Join NetApp?
This is an opportunity to help shape NetApp's AI growth strategy across EMEA and LATAM. You will work at the intersection of AI, data, cloud, and infrastructure, enabling organizations to accelerate AI adoption while helping build a scalable, repeatable growth engine for one of the industry's most important technology markets.
AI Business Development Manager - EMEA/LATAM in Belfast employer: NetApp, Inc.
NetApp, Inc. is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration. With a strong emphasis on employee growth, you will have access to extensive training and development opportunities while working in a vibrant EMEA and LATAM environment that encourages creativity and strategic thinking. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations in the rapidly evolving tech landscape.
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We think this is how you could land AI Business Development Manager - EMEA/LATAM in Belfast
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We think you need these skills to ace AI Business Development Manager - EMEA/LATAM in Belfast
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
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