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!
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.
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
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
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
Scaling our core voice AI capabilities
Integration with customer systems and data sources
Performance monitoring and optimization
New capabilities based on customer feedback
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
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
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.)
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
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
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.
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