Technical Product Lead, Voice AI Research Team

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—through model selection, latency optimization, or proprietary fine-tuning.
• Bridge Customers and Infrastructure: Go deep with customers to understand what "quality" means in their specific context (industry, use case, caller expectations), then translate those insights into infrastructure and model-level improvements that scale across the platform.
• Measure, Iterate, Ship: Define success metrics for agent quality (e.g., conversation completion rate, caller sentiment, response latency percentiles, escalation rate). Build dashboards, run experiments, and drive a continuous improvement loop with engineering and applied AI.
• Align and Communicate: Set a clear vision for the Voice AI team and communicate it crisply to leadership, engineering, and cross-functional stakeholders. Manage the roadmap, make hard prioritization calls, and keep the team moving fast toward outcomes that matter.

Requirements

• Technical Depth with Product Instinct: 4–6 years of experience as a Product Manager, Product Engineer or founder, ideally working on AI/ML products, infrastructure, or developer platforms. Comfortable navigating model architectures, inference pipelines, and API design.
• Eval & Data Mindset: Experience building or contributing to evaluation frameworks, A/B testing programs, or quality scoring systems.
• Natural Leader: Ability to set vision, communicate complex tradeoffs, make decisions with incomplete information.
• Deeply Curious, High Agency: Experience digging into data, running experiments, reading research papers.

Preferred

• Computer Science, Math, or Engineering background.

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