
11 - 50 employees
Vellum is a developer platform for building production-worthy applications on LLMs like OpenAI’s GPT-4 or Anthropic’s Claude. Use Vellum to save hours on prompt engineering, iterate on prompts in production confidently, and continuously fine-tune for even better results.
🕒 February 6
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11 - 50 employees
Vellum is a developer platform for building production-worthy applications on LLMs like OpenAI’s GPT-4 or Anthropic’s Claude. Use Vellum to save hours on prompt engineering, iterate on prompts in production confidently, and continuously fine-tune for even better results.
• Develop pipeline within target accounts by combining outbound prospecting, warm introductions through Vellum’s network, and in-person field events. • Own the full enterprise sales cycle from prospecting to close with carriers, reinsurers, and large MGAs/MGUs. • Qualify opportunities, build reliable forecasts, and exceed quarterly and annual quotas. • Lead discovery calls, demos, solution positioning, and executive presentations. • Build trusted advisor relationships with decision-makers (eg., CEO, CUO, CFO). • Understand customer data challenges and map Vellum’s platform to solve real business outcomes (eg., data transparency, underwriting profitability, efficiency). • Partner closely with Data, Technology, Customer Success, and Marketing teams to optimize messaging, refine case studies, and tailor solutions to customer needs. • Create compelling proposals and commercial agreements that reflect customer value and business impact. • Develop deep expertise in the insurance and reinsurance ecosystem, including underwriting workflows, actuarial analytics, portfolio risk management, and data governance. • Gather competitive insights and communicate market feedback back to internal product partners. • Advise the leadership team on the strategic direction of go-to-market efforts.
• 12+ years of quota-carrying enterprise sales experience selling SaaS, analytics, data platforms, or enterprise technology (preferably into insurance, reinsurance, financial services or related sectors). • Strong understanding of the insurance and reinsurance value chain, including risk analytics, underwriting, portfolio reporting, bordereau, actuarial needs, and how data challenges impact decision-making. • Experience drafting and leading presentations with prospective and current clients leveraging Excel, Powerpoint, and other communication tools. • Trusted advisor skillset with the ability to influence C-level executives and technical stakeholders. • Comfortable discussing data workflows, cloud-native analytics, AI/ML-enabled platforms, and integration considerations. • Experience using CRM tools (e.g., Salesforce) and sales engagement tools. • Comfortable with regular travel to engage enterprise clients in-person and represent the company at key market events.
• Competitive compensation packages • 401k Match • Medical, Dental, Vision
Apply Now🕒 February 6
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