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AI Agent Product Specialist

Regal

Regal

Software Engineering, Product, Data Science
New York, NY, USA
Posted on Nov 18, 2024
ABOUT US:
Regal.ai empowers businesses to add a personal touch in an increasingly digital world. We help brands understand real-time customer intent signals, and perfect customer interactions with a blend of Regal AI Agents and their human agents.
Our founders, Alex Levin and Rebecca Greene helped build Angi (Angie’s List, HomeAdvisor and Handy) to over $1.5B in revenue, and the rest of our team is made up of customer-obsessed, fun and hardworking team members across product, engineering, marketing, sales and more! We are based in New York City.
We share common set of values that we look for in every new hire:
*Customers are royalty
*Data beats opinion
*Fast-paced execution wins
*Growth mindset
*Enjoy the journey
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:
We believe that ten years from now, 90% of businesses interactions with their customers will be handled by autonomous AI Agents. And in a time of such drastic change, generalists with a technical background, diverse training, and a lot of mentorship will play a key role in accelerating the adoption of AI Agents in the world.
The AI Agent Product Specialist role starts with two weeks of intensive AI Agent onboarding where you will learn to build Regal AI Agents, work with customers to customize them, and then use real world performance to optimize the agents. In this role, you’ll become an expert in building AI agents that will handle and resolve millions of end-user conversations, and you will learn to work closely with our customers. You’ll represent Regal externally and build an ability to identify opportunities for product improvement and customer opportunities.
After 1-2 years, you will take on more senior roles at Regal’s AI Agent team including prompt engineering, product management, solutions consulting, sales and customer success. We view this role as a jumping off point for entry-level talent looking to start their careers in the exploding field of AI.

RESPONSIBILITIES:

  • Write, test, and refine prompts that drive our AI’s customer interactions.
  • Interact directly with customers to better understand their needs and tailor our delivery to enhance satisfaction and customer performance.
  • Work closely with Sales, Solutions Consulting, Customer Implementation, Customer Success, Product, and Engineering teams to continuously improve AI offerings based on requests and performance data.
  • Stay updated on AI best practices/industry trends and contribute fresh ideas to refine our AI offerings.
  • Help translate customer insights into technical adjustments for improved performance.
  • Lead projects from start to finish, overseeing timelines, tasks, and deliverables.
  • Present prompt updates, performance metrics, and suggested improvements to stakeholders.

ABOUT YOU:

  • Bachelor’s degree in a technical technical field (i.e. Computer Science, Engineering, Data Science or a related field) or equivalent experience with prompt engineering.
  • Desire to work in a client facing capacity (demonstrated client-facing experience is helpful).
  • Demonstrated interest or experience with AI applications.
  • 1-3 year(s) of work experience a plus, but not required.

BENEFITS/PERKS:

  • Competitive compensation packages, including early stage equity
  • 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
  • In-office breakfast and snacks daily
  • Happy hours, team outings, & annual off-sites
  • Pre-tax commuter benefits
  • Complete laptop workstation
  • & more!
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 office optional M/F. Covid vaccination policy in place.