AI Forward Deployed Engineer

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 shape their implementation with our platform, ensuring they go from contract signature to a fully functional AI Agent deployed in their contact center in under two weeks.

If you’re someone who loves blending technical savvy with product thinking—someone who can translate business objectives into tangible product experiences and who treats each deployment like a well-scoped MVP—this role was built for you. Whether you come from a Solutions Engineering background with strong product instincts or you’re an ex-Product Manager eager to get your hands dirty with code and APIs and deeper customer management, this is your opportunity to define the next generation of customer experiences.

• Drive a 14-Day Launch: Treat each customer’s onboarding like a mini product development cycle. Within two weeks, you’ll deliver a polished, AI Agent that’s integrated to the customer’s current systems and workflows, and move the customer’s 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. Your technical expertise ensures data flows smoothly and securely, setting the foundation for a scalable AI agent experience.
• 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 and that meets your customer’s compliance requirements and business objectives. Help QA test and validate that the AI Agent achieves the standards required to be successful.
• Measure, Iterate, and Adapt: Set up Reports that measure the performance of AI Agents; work with customers to iterate their post-call AI analysis prompts or disposition prompts to get the most accurate data out of AI Agents. Develop a roadmap of A/B tests to continuously improve AI Agent performance.
• 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.
• 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.

• Technical Chops: You’ve got 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment. You’re comfortable working with APIs, writing a bit of middleware code when needed, framing product features for executives, and everything in between.
• Strategic Problem-Solving: You see beyond the immediate ask. You excel at synthesizing business needs, user experience considerations, and platform constraints into a cohesive product vision—then 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.
• 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.
• Entrepreneurial DNA: You want to be a founder one day, which means you’re not just technical, you’re also commercially-minded and want to win. 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: Must be able to travel on a monthly basis.

• The AI Forward Deployed Engineer is more customer-facing, owning the launch and overall success of each AI Agent deployment and customer relationship, ensuring AI Agents can successfully integrate into the customer’s existing systems and workflows and achieve their business goals (as well as growing revenue by identifying more use cases and opportunities for AI Agents). AI Forward Deployed Engineers have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment.
• The AI Product Specialist is more internal-facing, part of a centralized team using the Regal AI Agent Platform to build and test AI agents, codifying best practices and processes for AI Agent development and QA testing, and giving feedback to our product and engineering teams on how the platform needs to evolve (as well as building demos for the sales and marketing teams and working on internal projects). AI Product Specialists have a technical degree, but only 0-2 years of previous experience.

• We care about your health! 
• Medical, Dental, and Vision plans - 80% covered by the company
• Flexible PTO & 11 paid holidays/year 
• We care about future you!
• 401k Plan
• Paid parental leave
• Pre-tax commuter benefits 
• We care about connection!
• In-office breakfast and snacks daily
• Happy hours, team outings, & annual off-sites
• Complete laptop workstation 
• & more to come!

POSITION LOCATION & OFFICE DETAILS:

This position is only available in New York City (HQ- NoMad). Hybrid roles are required in office T/W/TH and encouraged 5x/week.