USAAccount Executive, Token Factory
1 мес. назад
USASenior
Drive adoption and consumption of 's AI inference platform across AI-native startups, digital-native businesses, and enterprise engineering teams.
Условия
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
Другое
- is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
- Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
- Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
- About Token Factory
- Token Factory is 's high-performance AI inference platform, purpose-built for developer-native teams running latency- and cost-sensitive workloads at scale. It gives AI builders production-grade access to leading open and custom models with the throughput, reliability, and GPU economics required to move from proof of concept to production — and to grow consumption as their workloads scale.
- The role
- As a Senior Account Executive on Token Factory, you will drive adoption and consumption of 's AI inference platform across AI-native startups, digital-native businesses, and enterprise engineering teams. You will own the full sales cycle — from identifying developer-native teams with real inference workloads, through technical validation, to close and expansion.
- In AI infrastructure, proof-of-concept success does not always guarantee production success. The best AEs on this team pair commercial rigor with technical credibility: you understand what it takes to move a workload into production, you can speak fluently to engineering leaders and technical founders, and you know that engineering time is a strategic resource. Partnering closely with Sales Engineering and product teams, you will ensure that what we commit to with customers is scalable, economically sound, and aligned with platform strategy.
- You are welcome to work remotely from the United States. Travel as required to customer, partner, and industry events.
- Your responsibilities will include
- Partner with core infrastructure sales: Collaborate closely with 's core infrastructure sales team to align on shared accounts, co-develop opportunities, and give customers a seamless path from GPU compute and training to production inference on Token Factory.
- Own the sales cycle: Manage complex, multi-stakeholder inference deals from prospecting to close, building and maintaining accurate pipeline and forecasts against quota.
- Lead generation & business development: Identify and qualify developer-native and AI-native teams with latency- and cost-sensitive inference workloads through proactive outreach, relationship building, and market research.
- Consultative solution selling: Translate the value of the Token Factory inference platform — latency, time-to-first-token, throughput, reliability, and GPU cost efficiency — into outcomes that map to each customer's business and technical goals.
- Engage technical buyers: Develop deep relationships with engineering leaders, technical founders, and platform teams, positioning to address model, traffic, latency, and cost requirements.
- Drive PoC-to-production conversion: Partner with Sales Engineering to scope proofs of concept with clear, measurable success criteria, ensure technical realism, and support structured Go / No-Go decisions that turn pilots into production commitments.
- Land & expand: Grow consumption within accounts as inference workloads scale, driving multi-year expansion across models, use cases, and production traffic.
- Negotiate & close: Lead commercial negotiations with technical and executive stakeholders, securing deals that meet revenue targets and build long-term partnerships.
- Cross-functional collaboration: Work closely with product, engineering, marketing, and customer success to align on customer needs and deliver an exceptional experience.
- Surface platform insights: Recognize recurring customer patterns and workload requirements, and channel structured feedback to Product and Engineering to help evolve the platform based on real demand.
- Market knowledge: Stay ahead of trends in AI inference, open-model ecosystems, and the competitive landscape to position effectively.
- We expect you to have
- Proven experience: 8+ years of B2B sales experience in AI, cloud, or data infrastructure, with a track record of meeting and exceeding quota.
- Enterprise deal execution: History of closing complex, multi-stakeholder deals and developing long-term client relationships.
- Technical acumen: Strong understanding of cloud platforms (AWS, Azure, Google Cloud), AI/ML solutions, and inference concepts — the ability to reason about latency, throughput, cost, and architecture tradeoffs.
- Credibility with engineers: Strong customer presence with engineering-first, developer-native organizations, and comfort constructively challenging assumptions.
- Commercial awareness: You understand consumption-based growth and that engineering time is a strategic resource.
- Communication skills: Excellent written, verbal, and presentation skills, with the ability to translate deeply technical concepts into clear business value.
- Problem-solving ability: Strong analytical skills to diagnose customer challenges and create tailored solutions.
- CRM proficiency: Experience with CRM tools such as Salesforce, HubSpot, or similar.
- It would be an added bonus if you had
- Experience selling inference, LLM, or GPU-backed workloads, or familiarity with inference frameworks (e.g., vLLM, SGLang, TensorRT-LLM).
- Background in a high-growth, neo-cloud, GPU-first, or start-up environment.
- Exposure to consumption-based, SaaS, or cloud infrastructure sales models.
- Experience selling to AI-native, digital-native, mid-market, or enterprise-level customers.
- Experience co-selling with strategic ecosystem partners (e.g., NVIDIA, OEMs, SIs).
- Key employee benefits in the US:
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance : Company-paid short-term, long-term and life insurance coverage.
- Compensation
- We offer competitive salaries, ranging from $317,600 – $398,600 OTE based on your experience, with accelerators for overachievement and equity participation available.
- Pay Transparency
- We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
- Base Compensation Range
- $317,600 — $396,800 USD
- Benefits & Perks
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
- What's it like to work at
- Fast moving · Bold thinking · Constant growth · Meaningful impact · Trust and real ownership · Opportunity to shape the future of AI
- Equal Opportunity Statement
- is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
- Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.