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操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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AI Native Account Executive, Compute

Fal Ai

リモート勤務

勤務地
Remote (Germany)
勤務時間
FULL_TIME
掲載日
2026年10月19日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About fal fal is the generative media platform for developers. We give the world's most ambitious AI teams the fastest way to run image, video, audio and 3D models in production. We also provide the GPU infrastructure they need to train, fine-tune and serve models of their own. Our inference engine was built from the ground up for generative media. It has made fal the platform builders reach for when speed, scale and reliability matter. Our customers range from the fastest-growing AI companies in the world to the Fortune 500. More and more of them are coming to us for raw compute as well as inference and model APIs. We're a small, high-output team, and we're growing fast. If you want to be in the room while the infrastructure layer of generative AI gets built, this is that room. About the Role As an Account Executive on our Compute team, you'll own new-logo acquisition across AI-native startups and neolabs. You'll sell fal's full compute offering: dedicated GPU clusters, reserved and on-demand capacity, and the inference platform that developers already build on. This is a pure hunter role. You won't inherit a book. You'll build one, and with it you'll help define how fal takes compute to market. What You'll Do Build and own your pipeline Own all net-new logo acquisition across a defined set of AI-native startups, neolabs and research-driven model builders. Build pipeline from scratch through founder and investor networks, targeted outbound, community and events, and the market signals that tell you a team is about to need compute: a fresh fundraise, a new model release, a hiring spree in research. Use fal's product data to spot developers and teams already building on our platform whose usage shows they're ready for a larger compute commitment. Keep a focused, prioritized target list. Know which 30 companies matter most this quarter and why. Lead technical, consultative sales cycles Engage founders, CTOs, heads of research and infrastructure leads early, often before a formal buying process exists. Run deep discovery on each customer's workloads: training vs. fine-tuning vs. inference, model architecture and scale, GPU generation and cluster topology, storage and networking, utilization targets and timeline. Partner with Solutions Engineering on benchmarks, proofs of concept and architecture reviews that show fal's performance and reliability on the customer's own workloads. Translate technical requirements into a clear business case: time-to-cluster, price-performance, flexibility and total cost. Structure and close compute deals Design commercial agreements that fit how fast-growing AI companies actually operate: reserved clusters, on-demand and burst capacity, prepaid commitments, and blended platform agreements. Work with our capacity, finance and deal desk teams to secure supply and structure deals that work for both the customer and fal. Run the full cycle from first conversation through negotiation and signature, keeping momentum through commercial, technical and legal review. Grow with your customers Land with an initial workload, then expand as customers scale from experimentation to large training runs to production inference. Build multi-threaded relationships so fal is the first call when a customer's next capacity need appears. Hand off smoothly and stay aligned with Account Management and Customer Success as accounts mature. Shape the business Bring structured customer and market feedback to Product, Infrastructure and Leadership: what's winning, what's missing, and what competitors are doing. Help build the playbook. You'll be among the first sellers dedicated to this segment, and your input will shape how the motion scales. Keep forecasting accurate and pipeline up to date in Salesforce. Qualifications/Nice to Have: 5+ years of full-cycle B2B sales experience, with a consistent record of meeting or beating quota in a closing role. 2+ years selling cloud infrastructure, GPU compute, AI/ML platforms or developer tools. You've sold technical products to technical buyers and you're fluent in the conversation. Startup and AI-native buyers are your home turf. You understand how funding cycles, runway and competitive pressure drive buying, and you know how to move at their pace. Technical credibility. You can hold a real conversation with an ML engineer or research lead about GPU generations, interconnect, cluster sizing, training vs. inference economics, and why utilization matters. You don't need to be an engineer, but engineers should be glad you're on the call. A builder's approach to pipeline. You've generated a large share of your own pipeline and you're energized, not intimidated, by a blank territory. Strong commercial judgment. You know when a long-term reservation is the right answer for a customer and when flexibility matters more. You structure deals that set customers up to grow. Low ego, high ownership. You collaborate closely with Solutions Engineering, Product and Finance, and you take accountability for outcomes. Experience at a GPU cloud, neocloud, hyperscaler startup team, or AI infrastructure company Existing relationships across the AI startup, research and venture capital ecosystem Experience with usage- or consumption-based business models A track record of turning self-serve or product-led adoption into larger committed contracts Familiarity with generative media (image, video, audio, 3D) or foundation model development Familiarity with structured sales methods such as MEDDPICC What we offer at fal Interesting and challenging work A lot of learning and growth opportunities We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

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仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

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応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。