Full-Time

Agentic AI Platform Senior Account Manager

DACH

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

No salary listed

Remote in Germany + 1 more

More locations: Munich, Germany

Remote

Bachelor's, Master's

Category
Sales & Account Management (1)
Required Skills
LLM
Kubernetes
Machine Learning
RAG
Cybersecurity
Cryptography
Linux/Unix

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Requirements
  • A Bachelor of Science or Master of Science degree in Computer Science, Engineering, AI/ML, Cybersecurity, or equivalent practical experience.
  • At least 12 years of experience in software go-to-market, developer relations, technical partnerships, product management, solution architecture, cybersecurity, or an AI platform role.
  • Strong understanding of leading open and open-weight models, such as Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, Mistral, and others.
  • Hands-on understanding of large language models, agentic artificial intelligence, open-weight models, inference, fine-tuning, retrieval-augmented generation, evaluation, guardrails, model routing, and enterprise deployment patterns.
  • Experience with regulated enterprise, public sector, defense, financial services, healthcare, telecom, cloud provider, or sovereign cloud environments where governance and trust are major adoption factors.
  • Understanding of confidential computing, cybersecurity, secure deployment, Kubernetes, Linux, identity, encryption, secrets, data control, and software lifecycle operations.
  • Ability to translate complex model, licensing, legal, security, and deployment topics into practical field guidance and commercially useful sales plays.
  • Strong executive communication skills and comfort leading multi-stakeholder work across customer, partner, field, product, legal, security, and engineering teams.
  • Commercial judgment to qualify opportunities, align success criteria, and connect technical adoption to revenue outcomes.
Responsibilities
  • Execute the EMEA Agentic AI Platform go-to-market plan across open models, Nemotron adoption, regulated software hardening, confidential computing, cybersecurity, and secure AI deployment.
  • Position NVIDIA Agent Toolkit, NeMo, Nemotron, NIM, Dynamo, CUDA-X libraries, evaluation harnesses, guardrails, DGX OS, and AI Enterprise as one adoption path.
  • Refine the sales toolkit across technical, commercial, legal, support, and terms-and-conditions tracks so field teams and partners can confidently position agentic AI workloads.
  • Work through AI-native, enterprise, ISV, cloud provider, OEM, GSI, developer relations, solution architecture, product, legal, security, and field teams to identify priority workloads and unblock adoption.
  • Act as the EMEA point person for open and sovereign model field guidance, including licensing, EU AI Act/GPAI, intellectual property/data/security, model provenance, deployment, support, and export considerations.
  • Refine reference architectures and enablement for enterprise, sovereign, air-gapped, regulated cloud, private cloud, hyperscaler, and secure multi-tenant AI environments.
  • Partner with cybersecurity and infrastructure ecosystem partners where they help secure agentic AI deployments and make AI Factory adoption easier for regulated customers.
  • Share EMEA customer and partner requirements with product and engineering where packaging, support, documentation, security, or legal clarity affects adoption.
Desired Qualifications
  • Experience with Nemotron, DeepSeek, Qwen, Mistral, MiniMax, GLM, Kimi, NeMo, NIM, NVIDIA Agent Toolkit, Dynamo, TensorRT-LLM, Triton, vLLM, SGLang, Hugging Face, or similar ecosystems.
  • Experience turning agentic AI, open models, secure AI deployment, or regulated AI requirements into field playbooks, workshops, demos, and executive content.
  • Familiarity with EU AI Act/GPAI themes, model licensing, data residency, model provenance, confidential computing, zero-trust architecture, or sovereign AI positioning.
  • A track record launching cross-functional go-to-market programs that created production adoption, customer references, or partner-led revenue.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • Amazon ordered 2 million GPUs for 2027-2028, validating hyperscaler demand.
  • August 2026 Lancium investment secured 4 GW leased capacity and 15 GW pipeline.
  • Blackwell Ultra and Vera Rubin shipments began; production ships in late 2026.

What critics are saying

  • Taiwan prosecutors indicted NVIDIA staff August 24, 2026 over illegal China server exports.
  • China’s antitrust probe still threatens fines, remedies, and slower mainland sales.
  • China export controls and ASIC substitution can cut NVIDIA off from a trillion-dollar market.

What makes NVIDIA unique

  • CUDA and NVLink lock developers into NVIDIA’s full-stack AI platform.
  • FY2026 revenue hit $215.9 billion, with data center revenue $193.7 billion.
  • Rubin launched February 2026, targeting 10x lower inference costs than Blackwell.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
Yahoo Finance
Sep 9th, 2026
Nvidia CEO counters Michael Burry's AI chip depreciation bear case with market evidence

Nvidia CEO Jensen Huang has countered hedge fund manager Michael Burry's concerns about the useful life of AI semiconductors. Burry, known for predicting the 2008 subprime market crash, argues that companies overestimate GPU lifespans at six years rather than two to three years, thereby inflating profits. However, Nvidia's Ampere A100 chips, launched in mid-2020, remain in demand six years later. Neocloud CoreWeave recently contracted to rent these processors through 2029, nine years after their introduction. Rental prices for the newer Hopper H100 chips have increased 22% month over month, suggesting continued strong demand. Huang shared this pricing data on social media this week, reinforcing his position against Burry's bearish outlook on AI semiconductor longevity.

Yahoo Finance
Sep 9th, 2026
Nvidia raises Q3 revenue guidance to $108B, but margin squeeze from memory costs dampens investor reaction

Nvidia guided fiscal Q3 2027 revenue to $108 billion, an 18.7% increase from the prior quarter's guidance. The company expects revenue to grow approximately 70% in fiscal 2028, though supply constraints remain a factor. The stock gained 7% following the announcement, adding roughly $14.93 per share. However, rising memory costs driven by AI infrastructure demand are squeezing margins. Nvidia guided gross margin 0.9 percentage points lower for Q3, expecting it to bottom at 71-72% in Q4 2027 before stabilising at 72-73% in fiscal 2028. Operating expenses were also guided higher. The company's data centre business shows strong demand, with its ACIE segment growing 138% year-over-year to $40 billion in Q2 2027.

Yahoo Finance
Sep 9th, 2026
NVIDIA and CU Healthcare Innovation Fund invest in Verily Health's AI platform expansion

Verily Health has secured additional investment from NVIDIA and existing backer CU Healthcare Innovation Fund II. The funding extends Verily's March fundraising round. Current investors include Alphabet, Series X Capital, and UCHealth. The investment supports scaling of Verily's Pre Platform, a data and AI platform helping healthcare organisations deploy AI across research and care. It also backs Verily Me, the company's patient engagement offering. Verily and NVIDIA previously announced a collaboration in October 2025. Researchers using the Pre Platform can leverage NVIDIA AI libraries and B200 GPUs. Verily developed Forecast 1.0, a foundation model integrating genomics and electronic health record data to predict long-term health risks, using NVIDIA's AI stack.

Yahoo Finance
Sep 9th, 2026
NVIDIA stock soars 14,700% in decade as CEO confirms demand outstrips supply through 2028

NVIDIA has delivered a 14,460% return over the past decade, turning $10,000 into approximately $1.45 million. The company's stock currently trades near $226.18, with analysts setting a 12-month price target of $308.85, implying 36.55% upside. NVIDIA reported fiscal Q2 FY27 revenue of $96.22 billion, up 105.85% year-over-year, with data centre revenue hitting $89.02 billion. The company projects Q3 revenue of $108 billion at 74% gross margins. CEO Jensen Huang stated that demand significantly exceeds NVIDIA's current supply capacity. Management guided fiscal 2028 revenue growth of approximately 70%, describing it as supply-constrained. Top-five hyperscaler capital expenditure is projected at nearly $800 billion in 2026 and $1.3 trillion in 2027.

Fortune
Sep 9th, 2026
Nvidia CEO declares AGI achieved with OpenAI's Astra, but markets remain unmoved

Nvidia CEO Jensen Huang declared over the weekend that artificial general intelligence has arrived, citing OpenAI's newest model Astra. Markets responded tepidly: Nvidia shares fell 2% whilst companies leveraged to OpenAI, like CoreWeave and SoftBank, saw gains. Gil Luria of D.A. Davidson suggests Nvidia is "too big to grow" despite reporting $96 billion in quarterly revenue. Economist Basil Halperin argues real interest rates, not stock prices, would signal true AGI. Real rates have risen three to four percentage points since 2021, partly due to AI infrastructure spending, but remain far from levels that would indicate transformative AI impact. Most experts expect AI to add only about half a percentage point to GDP growth. Halperin forecasts the next five years will resemble "the dot-com boom, but twice as fast and twice as hard.