AI Product Specialist

Regal•New York, NY

1d•Hybrid

About The Position

Regal is seeking an AI Product Specialist to join their team. This role is at the forefront of defining AI Agents that will handle customer interactions. The position begins with two weeks of intensive training on the Regal AI Agent Platform, including prompting best practices, function building, and the Regal Operating System. This role is designed as a starting point for entry-level talent in the AI field, with opportunities for growth into senior roles in engineering, product management, or customer success after 1-2 years. AI Agent Product Specialists will be responsible for the creation and refinement of voice prompts and conversation flows for AI Agents, blending prompt engineering with user-focused product sense to ensure natural, brand-aligned interactions that meet business objectives. They will become experts in tuning AI Agent performance using various settings and techniques from STT, TTS, and LLM providers. The role involves pioneering new prompt engineering techniques, building custom functions, providing product feedback to the Regal product and engineering teams, and owning Quality Control and testing of AI Agents.

Requirements

Bachelor’s or Master’s degree in a technical field (i.e. Computer Science, Engineering, Data Science) or equivalent experience with prompt engineering.
1-2 years of work or internship experience at start-up tech companies, or impressive personal/school projects that you can provide documentation for.
Demonstrated curiosity for AI & Voice: Excited about the potential of Voice AI, and keep up with the latest products in the space. Experimented with conversational design or prompt engineering for a school, work or personal project.
Analytical Thinking & Problem Solving: Ability to see beyond the immediate ask, break down problems into their component parts and tackle them iteratively. Likes to tinker and try new approaches, borrowing ideas from others and building from their own previous experiences.
Time Management Skills: Ability to prioritize among competing tasks (or ask for help when needed), manage deadlines, and proactively keep your team & other stakeholders in the loop.
Relentless Ownership: Accountability for the success of your work, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time.
Entrepreneurial DNA: Thrives in fast-paced, ambiguous environments and absorbs everything. Adaptability and growth mindset are qualities that help navigate change and complexity with ease.

Responsibilities

Understand customer requirements: Work with AI Forward Deployed engineers to understand customer use cases, requirements for AI agents and their business objectives.
Review customer’s existing human agent call recordings, scripts, training documents, FAQs/knowledge bases and brand guidelines to inform their AI Agent.
Shape Conversational Experiences: Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal’s signature and that meets customer’s requirements and business objectives.
Build Custom Functions/Tooling: Understand the limitations of LLMs and where code is needed to achieve certain use cases/performance. Use your coding chops to build custom functions that allow your AI Agents to take actions such as validate zip code, schedule callback, update profile.
QA Test: Develop test cases and thoroughly test your AI Agents to ensure they pass Regal and the customer’s quality bar.
Develop tooling, where needed, to scale QA testing and deliverables to build customers’ confidence in AI Agents so they don’t have to put QA hours against it
Iterate & Learn : Review agent performance in partnership with AI Forward Deployed Engineer who owns the client relationship. Iterate the AI Agent based on customer success criteria
Codify Best Practices: Leverage, share, and document best practices for building AI Agents and achieving certain use cases. Participate in prompt engineering forums and research best practices to add to our own techniques. Document what we’ve learned in a digestible way for internal and external consumption
Deliver Product Feedback: Work closely with Regal PMs and Engineers to give feedback on the Regal AI Agent Platform. As the primary user of the product, you’ll spot issues, product gaps, and new capabilities that will help you deliver better performing AI Agents faster – help inform these features!
Support Sales Demos: Work with the sales team to build AI Agent MVPs during the sales process to demo agent capabilities to prospects