Director of Engineering

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 500M+ calls

- Driven $7B revenue for customers

- Scaled to $##M ARR

- Built amazing NYC (Midtown) in office culture

ABOUT THE ROLE:

We're hiring a Director of Engineering to own two of our most technically challenging areas: the real-time systems that power every live call, and the applied AI research that determines how those calls sound and feel.

You'll lead two teams: one responsible for the real-time call delivery infrastructure that handles every live voice interaction at scale, and one doing proprietary model work on the problems that matter most to voice quality, end-of-utterance detection, voice activity detection, answering machine detection, and STT accuracy. These are active, production-impacting problems, not research projects.

This is the right role for someone comfortable at the intersection of applied AI and real-time systems, not a pure researcher, and not a pure product EM. You'll work closely with Regal's Staff+ AI Engineering lead as a peer and collaborator, and you'll have room to grow into broader engineering ownership as the team scales.

RESPONSIBILITIES:

• Lead and develop engineers across two teams, set expectations, support career growth, and run a tight hiring bar. You thrive on managing people and view it as a privilege
• Own the technical roadmap for real-time call delivery and applied voice AI, in collaboration with Product, AI Engineering, and the broader eng leadership team
• Drive the applied AI roadmap: improving how AI agents talk to humans (pace, timing, accuracy, and warmth) and the contact center AI capabilities that make agents more effective in production
• Do whatever it takes to unblock your teams, whether that's changing a process, pair debugging, or cutting through cross-functional friction
• Work closely with product and engineering leadership to drive innovation and collaboration
• Maintain a strong peer relationship with Regal's AI Engineering lead, collaborative, not territorial. Applied model work intersects with research; managing that handoff well is part of the job.
• Represent engineering in cross-functional conversations on voice quality, latency, and AI agent reliability
• Be actively involved in hiring: sourcing, interviewing, and onboarding

WHAT YOU'LL OWN:

• Real-time call delivery: The systems that route, handle, and manage live voice calls. Telephony reliability, call delivery at scale. This team is the layer where every agent capability meets every customer.
• Applied voice AI: Proprietary model work on the hardest voice quality problems: end-of-utterance (EOU) detection, voice activity detection (VAD), answering machine detection (AMD), STT accuracy, and p95 latency. Small team, high-leverage output.

ABOUT YOU:

• 8+ years of experience in software engineering, with meaningful time in systems where latency and reliability are first-class constraints
• 4+ years in engineering management, including experience managing mid to senior level engineers
• An entrepreneurial mindset, we're not looking for someone to run a playbook. We want you to help build it.
• Comfortable operating at the boundary of research and engineering, you know how to take a model improvement and turn it into a production system, and vice versa
• Strong communication skills, you can translate complex technical tradeoffs for product stakeholders and work effectively with researchers
• Excellent judgment on prioritization, applied AI work is inherently exploratory; you know how to scope it against production impact

NICE TO HAVE:

• Hands-on experience with STT/TTS pipelines, voice activity detection, or telephony infrastructure
• Prior work on latency-sensitive ML inference systems in production
• Experience with LLM orchestration or agent evaluation frameworks
• Familiarity with WebSockets, real-time audio, or WebRTC
• Prior startup experience at the Series B-D stage

BENEFITS/PERKS

• 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!

$250,000 - $280,000 a year

The reasonably estimated base salary for this role is provided as a range within this job description. All offers include a competitive equity package and some offers may additionally include a variable compensation component. Actual compensation is determined on an individualized basis taking into consideration factors such as the candidate's skills, location, qualifications, experience, and relevant education or training. In addition, Regal offers a comprehensive set of employee benefits which are listed above. Details about the compensation package will be finalized at the time of offer.

POSITION LOCATION & OFFICE DETAILS:

This position is only available in New York City (HQ- Midtown). 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!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.