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Easy Apply
Manage and grow relationships with existing customers, ensure product adoption, track ROI, and identify upsell opportunities through client data analysis.
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!
We’re moving fast, and the numbers speak for themselves:
- Partnered with enterprise brands like Google, AAA, Ro, Coursera
- Raised $82M (top tier investors including Emergence & Homebrew)
- Completed 250MM+ calls
- Driven $7B revenue for customers
- Scaled to $## ARR
- Built amazing NYC (NoMad) in office culture
ABOUT THE ROLE
Regal is seeking a Customer Success Manager to manage and grow our existing platform customers through cross-selling and upselling AI Agents. This role is responsible for driving adoption, retention, and measurable customer outcomes across the post-sale lifecycle.
You’ll work closely with customer operators and revenue leaders to ensure Regal delivers clear ROI, while partnering internally to execute expansion opportunities. This is a hands-on, data-driven role for someone who enjoys owning relationships and turning insights into action. You’ll join Regal at a pivotal moment as customers increasingly adopt AI Voice at scale, giving you the opportunity to work on real, revenue-driving use cases while helping define what great customer success looks like in a rapidly growing category.
RESPONSIBILITIES:
- Own day-to-day customer success for a defined book of business, with a focus on adoption, retention, and renewals
- Track and communicate customer ROI using performance, behavioral, and revenue data
- Lead regular customer check-ins and QBRs, highlighting wins, risks, and next-step recommendations
- Execute account plans aligned to customer goals and Regal best practices
- Identify expansion opportunities through usage trends and evolving customer needs; partner with Sales to close
- Build strong working relationships with key customer stakeholders; escalate when needed
- Partner cross-functionally with Implementation, Support, Product, and Sales to deliver a smooth customer experience
- Surface product feedback and common challenges to help improve Regal’s platform and processes
ABOUT YOU:
- 2-3 years of experience in client-facing roles such as Customer Success, Account Management
- Must have experience at a consulting firm or a fast-growing B2B tech company
- Experience supporting renewals and contributing to expansion opportunities
- Comfortable using data to assess performance and explain results to customers
- Clear, confident communicator across technical and non-technical stakeholders
- Organized, proactive, and able to manage multiple accounts and priorities
- Excited to work with AI-driven products and learn quickly in a fast-moving environment
Benefits/Perks:
- We care about your health!
- Medical, Dental, and Vision plans - 80% covered by the company
- Flexible PTO & 11 paid holidays/year
- Subsidized Class Pass membership
- 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 office optional M/F.
*If you think you’re missing relevant experience but you’re hungry and a fast learner (and can prove it), we want to hear from you!
Top Skills
Ai Agents
Data Analysis
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