Lavendo · 1 month ago
Technical Product Manager (Voice AI)
Lavendo is transforming how small businesses handle customer calls through an AI-powered voice system. As a Technical Product Manager, you will drive the AI agent builder platform, translating complex AI capabilities into intuitive product experiences while collaborating with various teams to ensure product success.
RecruitingSalesSales AutomationVirtual Workforce
Responsibilities
Own and execute the product roadmap for our AI agent builder platform, while label, strategic projects
Collaborate with engineering on technical architecture and feature development
Translate insights from 200+ partners and stakeholders into actionable product requirements
Drive product decisions using data, partner feedback, and competitive analysis
Work cross-functionally with sales, marketing, compliance, and partner success teams
Maintain deployment speed (<3-minute setup) while expanding capabilities
Build product specs, manage backlogs, and lead agile development processes
Qualification
Required
5+ years of product management experience in B2B SaaS
Strong technical background with ability to engage in architecture and API discussions
Technical degree (CS, Engineering) or equivalent hands-on experience
Experience building developer-facing products (APIs, SDKs, platforms, or tools)
Proven track record shipping products that balance complexity with simplicity
Data-driven decision maker with strong analytical skills
Excellent communication skills across technical and business stakeholders
Startup experience in fast-paced, high-growth environments
Ability to work from ±7:00 AM to 4:00 PM ET
Benefits
Remote-first flexibility; work ET hours on your terms
Real decision-making authority with supportive leadership, you're trusted to get things done your way
Join the hypergrowth company leading the Voice AI revolution in Silicon Valley
Help democratize AI technology for millions of small and mid-sized businesses worldwide
Strong product-market fit with rapid growth trajectory
Solve cutting-edge AI challenges (hallucinations, deployment, reliability)