AI Forward Deployed Engineer

Regal•New York, NY

1d•Hybrid

About The Position

As an AI Forward Deployed Engineer at Regal, you are the product owner of each customer’s onboarding journey, responsible for bringing Voice AI Agents to life in production. This role requires end-to-end ownership, stepping into ambiguity, and doing 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. The position is ideal for someone who thrives at the intersection of technical execution and product strategy, translating business objectives into real product experiences and approaching each deployment like a tightly scoped MVP.

Requirements

3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant or a PM in a tech environment).
Comfort working with APIs, writing a bit of middleware code when needed, and framing product capabilities for executive stakeholders.
Strategic Problem-Solving: You look beyond the immediate ask, synthesizing business needs, user experience, and platform constraints into a cohesive product vision—and executing on it.
Outstanding Communication: Whether you’re writing a project brief, presenting call flow diagrams, or explaining data integration steps to a CTO, you tailor your message and ensure everyone understands the big picture.
Relentless Ownership: “Not my problem” isn’t in your vocabulary. You’re accountable for the success of each deployment, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time.
Entrepreneurial DNA: You thrive in fast-paced, ambiguous environments where you can shape processes, influence product direction, and drive revenue. Your adaptability and growth mindset help you navigate change and complexity with ease.
Ability to travel: You should expect to travel 1 week per month. When launching a new customer, you’ll travel to their office (if they are in person), and periodically thereafter to meet with execs.

Nice To Haves

Curiosity for AI & Voice: You’re excited about the potential of Voice AI. Maybe you’ve dabbled in conversational design, prompt engineering, or user research for voice interfaces. You’re eager to learn more and push the envelope on what’s possible.

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.
Unlock Future Value: As customers gain confidence, surface new use cases and features that can drive ongoing value. Use your product and commercial mindset to spot expansion opportunities and ensure each deployment isn’t just a one-off success, but the start of a long-term partnership.