AI Product Specialist, Regal.ai
$90-120k
+ Equity
More information about location
3-5 days a week in office
AI-powered contact center software
Be an early applicant
AI-powered contact center software
101-200 employees
Be an early applicant
$90-120k
+ Equity
More information about location
3-5 days a week in office
101-200 employees
Company mission
To reach the right customer with the right message at the right time.
Role
Who you are
- Technical Chops: You’ve received a Bachelor’s or Master’s degree in a technical field (i.e. Computer Science, Engineering, Data Science) or have equivalent experience with prompt engineering
- Professional Work Experience: You have 1-2 year(s) 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: You’re excited about the potential of Voice AI, and keep up with the latest products in the space. You’ve experimented with conversational design or prompt engineering for a school, work or personal project
- Analytical Thinking & Problem Solving: You see beyond the immediate ask, being able to break down problems into their component parts and tackle them iteratively. The ideal candidate likes to tinker and try new approaches, borrowing ideas from others and building from their own previous experiences
- Time Management Skills: You know how 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: You own accountability for the success of your work, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time. “Not my problem” isn’t in your vocabulary
- Entrepreneurial DNA: You’re considering being a founder one day. You thrive in fast-paced, ambiguous environments and absorb everything. Adaptability and growth mindset are qualities that help you navigate change and complexity with ease
What the job involves
- The AI Agent Product Specialist role starts with two weeks of intensive training where you will learn to build AI Agents using the Regal AI Agent Platform
- Get up to speed on our prompting best practices, function building, and the Regal Operating System. From then on, you’re writing the script
- We view this role as a jumping off point for entry-level talent looking to start their careers in the exploding field of AI. After 1-2 years in this role, you will be prepared to take on more senior roles at Regal in engineering, product management or customer success
- AI Product Specialists at Regal own the creation and refinement of voice prompts, and conversation flows of AI Agents
- You’ll blend prompt engineering techniques with user-focused product sense to deliver natural, brand-aligned interactions that meet business objectives
- You’ll become an expert at the different settings/toggles/techniques that STT providers, TTS providers and LLMs expose to tune the performance of AI Agents
- And with new use cases, you’ll pioneer new prompt engineering techniques, build new functions and deliver product feedback to the Regal product and engineering teams on new feature sets to enhance AI Agent performance
- Finally, you’ll own Quality Control and testing of AI Agents to ensure they meet quality standards
- 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
- 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
Our take
Regal provides AI-driven contact center software that delivers personalized, high-touch interactions at scale. Unlike traditional systems that rely on impersonal automation, Regal's AI Agents tailor conversations to individual needs.
The platform features 24/7 availability, infinite voice concurrency and integrations with over 40 systems. This allows businesses to scale while providing them with peace of mind. This blend of automation and personalization means users can improve operational efficiency and keep customer interactions both cost-effective and human-like.
Backed by significant funding and driving engagement for big-name clients like Google and Harvard (through Podium Education), Regal is raring to expand in order to solidify its position as a leader in the next-gen customer service space.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company benefits
- 401k plan
- Flexible PTO & 11 paid holidays
- Medical, dental, vision insurance (80% covered by Regal for individuals and all dependents!)
- Paid parental leave
- Growth Mindset learning and development stipend
- Happy hours, team outings, & annual off-sites!
- Pre-tax commuter benefits
- Complete laptop workstation
Company HQ
Civic Center, New York, NY
Leadership
Alex Levin
(Co-Founder & CEO)Previously they worked as an SVP of Growth at Angi and Handy HQ. Prior to that, they were a Director of Global Sales and Marketing at Titan Steel Corporation.
Rebecca Greene
(Co-Founder & CTO)Previously the CPO at Handy HQ, as well as a Senior Product Manager at Amazon and an Associate at Booz & Company.
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