Role Description
Own the entire sales cycle, from prospecting and qualification through close and expansion.
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Develop relationships with AI leaders, engineering teams, platform teams, security teams, and executive stakeholders.
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Run product demos and help customers understand how White Circle fits into their AI stack.
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Navigate complex buying processes involving technical teams, legal, procurement, and executive decision-makers.
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Identify high-value use cases and guide customers through evaluation and deployment.
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Work closely with CEO on strategic opportunities.
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Provide structured customer feedback to product and engineering teams.
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Help develop the messaging, sales process, and playbooks that will support future growth.
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Drive pipeline, revenue, and customer adoption.
Qualifications
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Has experience selling technical B2B software to enterprise customers.
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Can quickly understand complex technical products and communicate their value clearly.
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Is comfortable speaking with both engineers and executives.
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Can operate effectively without established playbooks or rigid processes.
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Has strong commercial instincts and excellent communication skills.
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Thrives in fast-moving environments where priorities evolve quickly.
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Is fluent in English.
Requirements
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A big plus if you have sold AI, infrastructure, developer tools, cybersecurity, cloud, or platform products.
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Have been an early sales hire at a startup.
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Have experience as a software engineer, solutions engineer, sales engineer, or in another technical role.
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Have founded a company or built something from scratch.
Benefits
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Salary: $140,000 - $180,000 base.
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Performance-based bonus.
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Meaningful equity package.
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Fully remote within the US.
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All the hardware, tools, and services you need.
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Covered subscriptions for AI agents and IDEs.
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Paid time off in line with your local regulations, no matter where you work from.
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Team off-sites twice a year: weโve recently been to the Alps and to Saint-Tropez.
Company Description
White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies โ simple natural-language rules that define what an AI model should and shouldnโt do. We automatically test, enforce, and continuously improve these policies at scale.
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Weโve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others.
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We process over 100M+ API calls every month.
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We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model.
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Weโre a small, highly focused team.