We're hiring our founding technical hire â a Senior Technical Lead who will own the entire technical vision and execution. This is a co-builder role, not a cog-in-machine role.
What You'll Own:
- Designing and building custom AI implementations for SMB clients â from discovery through deployment
- Integrations across the platforms our clients already use (Toast, Square, Mindbody, QuickBooks, HubSpot)
- Our AI tooling stack (Claude API, Make.com, Clay) and the internal systems that power delivery
- Ongoing maintenance, optimization, and evolution of client AI systems
- Client-facing portal and delivery infrastructure
- Technical hiring as we scale
What We're Looking For:
- 8+ years of engineering experience shipping real SaaS products
- AI-native workflow: Cursor, Claude API, Make.com are daily tools, not experiments
- Led a small team. You think in business outcomes, not just code
- Former founding engineer or technical co-founder is a strong signal
- Comfortable with ambiguity. You build the plane while flying it.
Compensation:
- $160,000 - $200,000 base salary
- 4.5% equity (founding-level)
- Fully remote, US-based
How to Apply: Send your background, what you've built, and why this role fits to [email protected]
How does that feel? Once you're happy with it I'll update everything â Wellfound live posting, the Battle Kit doc, and the email to Josh.
We're hiring our founding technical hire â a Senior Technical Lead who will own the entire technical vision and execution. This is a co-builder role, not a cog-in-machine role.
This is an application-layer engineering role. You'll be building AI-powered tools that solve real business problems for real operators â not managing GPU clusters, optimizing inference pipelines, or scaling cloud infrastructure. If you get more excited connecting QuickBooks to an AI agent that saves a business owner 10 hours a week than you do tuning Kubernetes configs, keep reading.
This is an application-layer engineering role. You'll be building AI-powered tools that solve real business problems for real operators â not managing GPU clusters, optimizing inference pipelines, or scaling cloud infrastructure. If you get more excited connecting QuickBooks to an AI agent that saves a business owner 10 hours a week than you do tuning Kubernetes configs, keep reading.
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