People Culture Talent

Compensation

Full Description

Note: We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team! About Olelo Olelo is transforming how automotive repair shops interact with customers through AI-powered voice agents. We've grown more than 20x ARR in 6 months by solving a real problem: shops are drowning in phone calls and losing customers due to poor communication. Our voice agents handle customer interactions, improve conversion, and free up shop owners to focus on fixing cars. We're not limited by demand, we're winning competitive bake-offs, building a powerful referral network, and corporate chains are interested in deploying across all their locations. The bottleneck is scaling our operations, and that's where you come in. We're raising our seed round in February 2025, and we need founding engineers who can build the systems that unlock our next phase of growth. The Opportunity You'll be a founding engineer joining a technical CEO who's currently both architect and builder. This is the ground floor, shaping the technical foundation of what has already been created, and focusing on velocity. What makes this different: Direct impact: Your code directly unlocks revenue growth by breaking operational bottlenecks AI-first: We're building with AI from day one, not retrofitting it onto legacy systems Pragmatic architecture: We re-architect every ~6 months as we scale - no dogma, just what works Technical CEO: Work directly with a founder who codes and understands the technical challenges deeply Real traction: We have PMF and customers begging to use our product - you're building for proven demand What You'll Build Onboarding Automation & Workflows Systems that dramatically reduce time-to-activation for new customers Automated workflows that eliminate manual bottlenecks Self-service tools that let customers configure and customize Integration with voice agent infrastructure Customer Success Tools Feature activation tracking and nudging Health monitoring and proactive intervention systems Analytics that help us understand and improve adoption Tools that help CSMs scale 10x Voice Agent Infrastructure Scaling our core voice AI capabilities Integration with customer systems and data sources Performance monitoring and optimization New capabilities based on customer feedback Platform & Systems Work Building for scale while maintaining velocity Technical debt management (pragmatic, not perfect) Re-architecting as we grow (expect this every ~6 months) Developer experience and tooling Who You Are Required Senior+ engineer with proven ability to self-manage and deliver 0-to-1 builder who's built products from scratch, not just maintained existing systems Full-stack generalist comfortable with architecture and hands-on coding across the stack AI-native - you leverage modern AI tools in your development workflow and know how to build AI-powered features Pragmatic about technical debt - you build for what you need now, not what you might need in 5 years Comfortable with rapid iteration - willing to re-architect every ~6 months as we scale Startup velocity - you ship fast and fix fast, not perfect on first try Strongly Preferred Experience with voice AI, conversational AI, or LLM applications Track record of scaling systems from 10s to 1000s of users Previous founding team or very early-stage startup experience B2B SaaS background Legacy system integration experience Proficiency with modern AI coding tools (Cursor, Claude, Copilot, etc.) You'll Thrive Here If You Get excited by technical problems with direct business impact Love working with AI and pushing the boundaries of what's possible Don't need perfect requirements or extensive specs to be productive Enjoy working closely with a technical founder who codes Want founding team equity and influence on company direction This Isn't For You If You Need extensive structure, process, and clearly defined roles Want to specialize narrowly rather than spread across areas Prefer stable, well-defined problems over ambiguous challenges Need separation between engineering and "business concerns" Aren't comfortable with rapid change and re-architecting Our Tech Philosophy AI-First: We're not bolting AI onto legacy systems. We build with AI from the ground up and leverage modern tools aggressively. Pragmatic, Not Perfect: We build for the scale we need now, not the scale we might need in 5 years. Technical debt is fine if it's conscious and managed. Velocity Over Polish: We ship fast, learn fast, and iterate fast. First version doesn't need to be perfect. Flexible Architecture: We expect to re-architect every ~6 months as we scale. This is a feature, not a bug. Learn & Adapt: The tools and landscape change rapidly. We stay current and adapt quickly.