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Regal

Turns customer data into outbound campaigns

AI Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$135k - $180k /yr

About the Job

Requirements

  • At least 3 years of experience in a technical customer-facing role, such as Solutions Engineer, Implementation Consultant, or Product Manager in a technology environment.
  • Comfort working with APIs, writing middleware code when needed, and explaining product capabilities to executive stakeholders.
  • Ability to synthesize business needs, user experience, and platform constraints into a product vision and execute it.
  • Ability to write project briefs, present call flow diagrams, explain data integration steps to technical executives, and tailor communication to the audience.
  • Accountability for deployment outcomes, making trade-offs, iterating quickly, and delivering on schedule.
  • Interest in Voice AI and eagerness to learn about conversational design, prompt engineering, or user research for voice interfaces.
  • Ability to travel one week per month, including visits to customer offices for launches and periodic executive meetings.

Responsibilities

  • Execute end-to-end customer deployments, integrating AI Agents into customer systems and workflows and treating onboarding as a product cycle.
  • Collaborate with customers to understand goals, success criteria, and operating context, then create a measurable deployment plan aligned with their objectives and Regal's capabilities.
  • Build technical integrations using APIs, webhooks, and databases.
  • Work with internal AI Product Specialists to guide voice prompts and AI agent settings to improve conversational quality.
  • Build reporting to measure AI Agent performance, work with customers to refine post-call analysis, and create a roadmap of A/B tests to improve accuracy and outcomes.
  • Provide weekly status updates, manage timelines, communicate with internal and external stakeholders, mitigate risks, reprioritize as needed, and maintain alignment around deployment roadmaps.
  • Identify additional use cases and features that can create ongoing customer value and expansion opportunities.

Desired Qualifications

  • Experience with conversational design, prompt engineering, or user research for voice interfaces.

About the Company

Regal

Turns customer data into outbound campaigns

Regal provides outbound customer outreach tools for contact centers. It turns existing customer data into personalized, multi-channel campaigns across phone, SMS, email, chat, and AI-driven agents to drive conversations that convert and increase revenue. The system analyzes untapped data to identify the best contact and the best moment to reach them, enabling agents to engage at the right time with tailored messages. Regal differentiates itself by promising a clear, measurable lift—25% more revenue—through a unified, omnichannel approach that combines human interactions with AI-enabled messaging. Its goal is to help contact centers maximize revenue potential by delivering relevant, timely, and consistent outreach across all channels.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2020

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