Regal.ai

Lead customer launches and manage Forward Deployed Engineers deploying AI Agents. Own delivery strategy, define success metrics, and drive measurable business outcomes for enterprise customers.

Build dashboards, define metrics, and partner with AI/product teams to drive data-informed decisions on customer interactions and agent performance. Requires 3+ years experience, strong SQL/dbt skills, and warehouse experience.

Entry-level sales role focused on high-volume outbound prospecting and pipeline generation for an AI agent platform. Works closely with Account Executives to source opportunities at B2C companies with high call/SMS volume.

Provide technical support for an AI platform, troubleshooting integrations and resolving customer issues while collaborating with product and engineering teams.

Leads product vision for Voice AI agent quality on research team, partnering with engineering to define benchmarks, optimize latency-cost-intelligence tradeoffs, build evaluation frameworks, and translate AI research into production improvements. Requires 4-6 years in product/AI roles with technical depth in models and inference.

Owns data product roadmap for AI agent observability, partnering with engineering and design to build intuitive reporting, analytics, and insights. Requires 2-4 years PM experience, strong SQL, and data literacy to bridge raw data with customer decisions.

Builds and refines AI agents using prompt engineering, conversational flows, and custom functions on the Regal platform. Tunes STT/LLM/TTS settings, conducts QA testing, delivers product feedback, and supports sales demos. Requires technical degree and 1-2 years experience.

Leads end-to-end deployment of Voice AI Agents for customers, owning product vision, technical integrations with APIs/webhooks/databases, and performance iteration. Requires 3+ years in technical customer-facing roles and AI curiosity.

Senior DevOps Engineer designs and operates AWS-based internal platforms for deployment, observability, and AI-assisted workflows. Requires 4+ years experience with Terraform, containers, serverless, CI/CD, and distributed systems reliability.

Leads customer support team in B2B SaaS environment, managing operations, SLAs, escalations, and KPIs while partnering with Product and Engineering to improve customer experience. Requires 6+ years support experience with 2+ years people management and technical fluency in SaaS tools.

Drives revenue growth by sourcing pipeline, conducting full-cycle consultative sales, and closing deals for Regal's AI Agent platform with mid-sized organizations. Requires 3-5 years SaaS sales experience, ROI business case skills, and engaging senior stakeholders.

Drives new enterprise business for AI Agent platform by sourcing pipeline, navigating complex sales cycles, engaging C-level executives, and closing deals with clear ROI. Requires 5-7+ years SaaS enterprise sales experience and consultative selling skills.

Technical Account Manager owns customer relationships, drives platform adoption through technical guidance, advanced feature deep-dives, and troubleshooting. Requires 3-5 years in customer-facing technical roles and familiarity with APIs, webhooks, and SaaS integrations.

Leads critical GTM initiatives to drive revenue and AI adoption for AI Agents product, partnering with engineering, product, and customer teams. Requires 7-15+ years experience, technical knowledge of GenAI/AI technologies, and strong analytical skills (SQL, Excel).