Tech Lead

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duvo.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

duvo. ai is a no-code AI automation platform that creates persistent AI agents to execute end-to-end business workflows across web apps, legacy portals, email, phone, and data systems. It lets teams describe processes in natural language, connects to tools via APIs or a secure browser, and runs scheduled or event-driven jobs to complete tasks, update systems, and produce evidence — all with enterprise-grade security and auditing. duvo. ai is positioned for operations teams seeking to replace manual, repetitive work with automated execution at scale.

📋 Description

• You will own the technical direction and delivery of an initiative. • You're an excellent product engineer who ships code alongside your team — expect to spend 50–60% of your time in code. • This is not a management role. You write production code, review PRs, make architecture calls, and set the engineering standard your team rallies around. Your leadership is rooted in technical credibility and active presence in the codebase. • You run 1:1s with engineers on your initiative — focused on the work: delivery, unblocking, and direction. You're involved in hiring because you define how your initiative is staffed: deciding who you need and joining interview loops. • Your unit of ownership: the technical quality, velocity, and direction of your initiative. • Where the line is: career growth, performance management, and the development of engineers sit with the Engineering Manager — not with the Tech Lead. Candidates should be clear on this distinction before applying. • You'll lead one of these initiatives in a growing product team scaling into multiple initiatives.

🎯 Requirements

• Shipping and ownership. You've repeatedly taken ambiguous problems to production with measurable outcomes. You own features end-to-end: UI → API → data → deployment. • Technical leadership. You make architecture decisions, manage tech-debt tradeoffs, and set quality standards. Your team trusts your judgment because you're in the codebase with them. • AI/ML product literacy. You have hands-on experience building with LLMs, retrieval systems, or evaluation harnesses. You understand the primitives well enough to make sound build-vs-integrate decisions and catch failure modes. • Product judgment. You can define MVP scope, pick the right metric to move, and kill work that isn't delivering value. You connect technical choices to customer outcomes, not just technical elegance. • Initiative ownership. You define what your initiative needs — who to hire, how to structure the work, what to build and in what order — and you hold yourself accountable for delivery and outcomes. • Judgment under pressure. You'll decide build-vs-buy, choose between shipping fast and shipping right, and make architecture calls that affect the whole platform — often without complete information.

🏖️ Benefits

• Unlimited AI budget • Autonomy to do your best work • A real AI product with real customers • A sharp, motivated team that values ownership and candor • Competitive compensation with a meaningful equity component