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Technical Product Lead, Voice AI Research Team

REGAL· Product Management
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Hybrid (New York City, NY)$160k - $200k + equity + bonusFull TimePosted 6mo ago

About the role

Lead the development and optimization of Regal's Voice AI agents by establishing quality standards, benchmarking, and translating AI research into production to surpass competitors in voice AI technology.

Responsibilities

  • Define and Own the Quality Bar: Partner with engineering to establish Regal's point of view on what makes the best Voice AI agent—across naturalness, accuracy, task completion, and conversational flow. Translate that vision into measurable standards the entire organization rallies around.
  • Optimize the Latency-Cost-Intelligence Tradeoff: Develop the product strategy for balancing response time, inference cost, and model capability. Partner with engineering to architect a pipeline where customers get the smartest, fastest responses at sustainable unit economics.
  • Build Evaluation & Benchmarking Frameworks: Develop comprehensive eval sets, automated regression suites, and A/B testing infrastructure to ensure Regal's agents stay top-performing as models, prompts, and configurations evolve.
  • Stay at the Frontier: Track emerging trends in LLMs, speech-to-text, text-to-speech, and real-time inference. Evaluate new models, techniques, and architectures and translate the ones that matter into Regal's production stack.
  • Drive Competitive Differentiation: Develop and execute a strategy for how Regal's Voice AI agents outperform alternatives—whether through model selection, latency optimization, or proprietary fine-tuning.
  • Bridge Customers and Infrastructure: Deeply understand customer-specific quality needs and translate those insights into infrastructure and model-level improvements.
  • Measure, Iterate, Ship: Define success metrics for agent quality, build dashboards, run experiments, and continuously improve the system.
  • Align and Communicate: Set a clear vision for the Voice AI team, communicate effectively, manage the roadmap, prioritize initiatives, and ensure progress toward strategic goals.

Qualifications

  • 4–6 years of experience as a Product Manager, Product Engineer or founder, ideally working on AI/ML products, infrastructure, or developer platforms.
  • Experience building or contributing to evaluation frameworks, A/B testing programs, or quality scoring systems.
  • Deep understanding of model architectures, inference pipelines, and API design, with the ability to translate technical knowledge into product decisions.
  • Strong leadership skills with the ability to set vision, communicate clearly, and make decisions in fast-moving environments.
  • Preferably a background in Computer Science, Math, or Engineering, with the ability to go deep on technical problems.

Skills

Required:AI/ML Product DevelopmentEvaluation FrameworksModel Architecture & Inference PipelinesLeadership & Communication

Benefits

  • Medical, Dental, and Vision plans - 80% covered by the company.
  • Flexible PTO & 11 paid holidays/year.
  • Subsidized Class Pass membership.
  • 401k Plan.
  • Paid parental leave.
  • Pre-tax commuter benefits.
  • In-office breakfast and snacks daily.
  • Happy hours, team outings, & annual off-sites.
  • Complete laptop workstation.
Last updated Apr 27, 2026. Interested? Apply on the company site.

About REGAL

Voice AI Agent Platform

Regal helps businesses build, improve, and manage AI Agents that outperform human agents.

Voice AI AgentsCustomer SupportLead QualificationScheduling & RemindersCollectionsBookingsAI AgentsCustomer Experience
Company profileWebsite

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