AI Forward Deployed Engineer

About the role

ABOUT US:

Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always-available, and ready to take action. Power better support, sales and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene helped build Angi (Angie’s List, HomeAdvisor and Handy) to over $1.5B in revenue.

Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew and Emergence Capital.

Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings!

ABOUT THE ROLE:

As an AI Forward Deployed Engineer at Regal you’re the product owner of each customer’s onboarding journey. Imagine taking the reins of a micro “product launch” for every new customer. You’ll be responsible for bringing our Voice AI Agents to life in production.

This role is for someone who doesn’t know the meaning of “not my problem.” You take end-to-end ownership, step into ambiguity, and do what it takes to move customers forward. It’s a unique opportunity to work with founders at the forefront of AI innovation and define the next generation of customer experiences.

If you love operating at the intersection of technical execution and product strategy—turning business objectives into real product experiences and approaching each deployment like a tightly scoped MVP—this role was built for you.

RESPONSIBILITIES: - Accelerate Customer Deployments: Execute end-to-end deployments by treating onboarding as a mini product cycle, integrating AI Agents seamlessly into customer systems and workflows to move the needle on key business metrics.

- Own the Product Vision (Per Deployment): Collaborate with customers to understand their goals, success criteria, and operational context. Then, translate these insights into a clear, measurable deployment plan that aligns Regal’s capabilities with their strategic objectives.

- Architect Technical Integrations: Work hands-on with APIs, webhooks, and databases to seamlessly integrate Regal into the customer’s existing systems.

- Shape Conversational Experiences: Work internally with Regal AI Product Specialists to guide the creation and refinement of voice prompts and AI agent settings to achieve the conversational quality that is Regal’s signature.

- Measure, iterate, and adapt: Build reporting to measure AI Agent performance, partner with customers to refine post-call analysis, and create a roadmap of A/B tests to continuously improve accuracy and outcomes.

- Stakeholder Management: Provide weekly status updates, manage timelines, and communicate proactively with both internal and external stakeholders. Mitigate risks, reprioritize as needed, and keep everyone aligned around the deployment roadmap.