{"id":1291883,"url":"https://alion.io/job/netapp-director-ai-solutions-emea-latam","title":"Director AI Solutions, EMEA-LATAM","company":{"id":58700,"name":"NetApp","domain":"netapp.com","url":"https://alion.io/company/netapp","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":92,"open_postings":21,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Amsterdam, Netherlands","Paris, France","Berlin, Germany","London, United Kingdom","Munich, Germany"],"countries":["NL","FR","DE","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":146000,"max_usd":328000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4188},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"RAG","optional":false}],"status":"closed","first_seen_at":"2026-09-18T07:07:50Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-27T06:28:48Z","board_verified":false,"closed_at":"2026-10-27T06:28:48Z","days_open":38,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":38},"description":"Job Summary\nNetApp sits on 60% of the world's unstructured data. AI runs on unstructured data, and our customers' data is already with us, so we start most AI conversations from a position nobody else has.\nWe are building the engine that turns that into business, and both halves of it are already here: Solution Architects who design the data infrastructure for training, inference, agent runtimes and AI-ready data lakes, and business development people who build the propositions and target lists that open those conversations. What we want now is to run them as one team, with one plan, going after the AI opportunity in EMEA/LATAM proactively rather than one deal at a time.\nThat is this role. You lead the AI Solution Architects and the AI business development / GTM profiles across EMEA/LATAM, and you are accountable for a commercial result: incremental AI pipeline, a better win rate, and AI bookings growth year over year.\nKey Responsibilities\nBuild the value propositions with the teams who have to sell them\nOwn our AI value propositions across the four workloads, built together with your architects and business developers, Area sales, Marketing and the partners we sell with. Each one needs an architecture we can defend, the accounts it applies to, and the competitive position and proof points the field will be asked for.\nScale what works\nTake a proposition that produces opportunities in one country and make it work across the region, run by people who did not build it. Stop the motions that do not convert. Scale through partners as well, particularly where the buying decision follows a validated reference architecture.\nBe our AI voice in EMEA\nBe the person the market, the press and our own field look to for NetApp's view on AI data infrastructure: inference economics, agent runtimes and data governance, European sovereignty and regulation, and the competitive stacks. Build the same standing in the people around you.\nHire and develop the talent this depends on\nHire above the bar we have today across two quite different profiles, set the AI technical bar for the wider SE and SA community, build succession, and choose deliberately where the team spends its time.\nMake our SEs and Client Executives effective on AI workloads\nGet several hundred Systems Engineers and Client Executives to the point where they can open, qualify and lead an AI workload conversation on their own accounts. Judge the enablement on the opportunities they create afterwards.\nBuild the relationships where platform decisions get made\nHold your own relationships with the CTOs, chief architects and heads of AI and platform who decide where their AI workloads will run, maintained between deals, so we are in the conversation before the architecture is set.\nJob Requirements\nBasic qualifications\n12+ years in enterprise technology including strategic and people leadership, with 5+ years managing people. Experience leading both technical (pre-sales, solution architecture) and commercial (business development, GTM) profiles, or a credible case for why you can.\nA record of creating pipeline in a new or emerging segment, with the numbers and the plays behind it.\nReal fluency in the AI infrastructure stack, deep enough to set a bar rather than repeat one: GPU clusters and reference architectures, training and fine-tuning pipelines, inference serving and its economics, agent runtimes and frameworks, RAG and vector search, data lake architecture, and where the data layer sits in each. You should be able to hold your own with a CTO or Head of AI without an architect in the room.\nCommercial and dimensioning judgement: able to test whether a solution is right-sized and defend a design choice, including a smaller one, under pressure.\nAble to influence without authority across sales, technical, marketing and partner organisations in a matrixed, multi-country environment.\nExecutive presence at C-level, including when the outcome is uncertain.\nFluent English and willing to travel across EMEA/LATAM.\nPreferred qualifications\nRelationships in the European AI ecosystem - sovereign AI programmes, neoclouds, AI ISVs, GPU vendors, integrators, AI investors.\nExperience building a GTM motion from scratch, and the team that runs it.\nUnderstanding of EU AI and data sovereignty regulation, including public-sector procurement.\nExperience with hyperscalers and partner-led sales models.\nA storage or data infrastructure background helps but is not required. If you come from storage, show us AI deals you have been in and a current read on the market.\nAnother European language.\nDay in a Life\nYou start on the inference proposition with two architects, a business developer and an SE manager, arguing about whether the cost-of-serving case holds up with a customer who already has GPUs. Mid-morning, the head of platform at a large European bank, on their AI roadmap rather than on anything of ours. Before lunch, the architecture review on our largest inferencing deal, where you push back on a design that won't survive the customer's second model. Afternoon is a deal clinic with a dozen SEs and CEs taking the new proposition into their own accounts next week. 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