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Sales Executive
3 weeks ago
Alice protects the world's largest platforms, enterprises, and online communities from malicious activity and emerging harms. As AI rapidly evolves, our mission is to keep organizations safe through cutting-edge solutions in AI Safety, GenAI risk mitigation, Agentic AI security, and global threat intelligence. We are expanding our GTM team with a proven Sales Executive who understands the emerging AI landscape and can scale a hyper-growth business.
We are seeking a Sales Executive with deep experience selling into Fortune 500 enterprises, particularly cybersecurity, engineering, trust & safety, and risk teams. This role requires someone who thrives in a fast-moving startup environment and is comfortable owning the entire sales motion, from building a territory to closing complex, six- and seven-figure deals.
You will accelerate enterprise adoption of our Automated Red Teaming platform, Safety Guardrails solutions, and accompanying managed services. This is a high-impact, quota-carrying role critical to Alice continued scale.
Key Responsibilities
- Sales Leadership & Territory Ownership
- Build and execute a strategic territory plan from the ground up, targeting Fortune 500 and high-growth technology companies.
- Position and sell an emerging category of LLM/GenAI/Agentic AI safety and security solutions and related managed services.
- Develop a robust pipeline through outbound prospecting, inbound follow-up, and targeted campaigns in partnership with BDRs and marketing.
Full-Cycle Enterprise Sales
- Lead the entire sales process from discovery, tailored demos, solution scoping, stakeholder alignment, security reviews, and contract negotiation.
- Work directly with cybersecurity leaders, engineering teams, and technical evaluators to articulate the value of Alice's AI Safety solutions.
- Navigate complex procurement cycles and multi-stakeholder environments within global enterprises.
- Negotiate commercial terms for six- and seven-figure annual agreements.
Cross-Functional Collaboration
- Collaborate with product, engineering, and delivery teams to shape solutions that address customer needs and market trends.
- Provide feedback to leadership on competitive insights, product enhancements, and emerging customer challenges.
- Support marketing by attending conferences, customer events, and industry forums as a subject-matter expert.
Client Engagement & Travel
- Travel onsite to meet enterprise clients, run workshops, attend conferences, and support strategic presentations.
- Maintain deep, long-term relationships with senior stakeholders to drive expansion and renewals.
The salary range for this role is $175-350K OTE and stock options - Range may vary based on experience
Qualifications
- 5+ years of enterprise sales experience, ideally with exposure to AI Safety, cybersecurity, machine learning platforms, or data security.
- Experience selling solutions involving LLMs, GenAI, or Agentic AI safety - MANDATORY
- Proven success closing six- and seven-figure enterprise contracts with Fortune 500 organizations.
- Experience selling both SaaS platforms and managed services.
- Comfortable working in a hyper-growth startup environment with evolving products and processes.
- Ability to communicate complex technical concepts simply and persuasively to both business and technical buyers.
- Strong territory-building, outbound prospecting, and deal-strategy skills.
- High executive presence and the ability to influence stakeholders at all levels — C-suite, cybersecurity, engineering, product, trust & safety.
- Willingness to travel for client meetings, workshops, and industry events.
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines.
In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.