Tech Lead

About the Role

We’re looking for a hands-on Tech Lead to guide the technical direction of AIR, Braintrust's AI-powered interviewing platform. AIR handles real-time candidate interviews, ATS integrations, AI-generated scoring, and customer-facing workflows used by enterprise hiring teams.

As the Tech Lead, you will own the technical foundations of AIR, support a growing engineering team, and ensure we ship high-quality features with reliability and speed. You will also play a critical role in stabilizing and expanding our integrations ecosystem as we scale.

This is a high-impact role on a product that is central to the company’s strategy.

What You’ll Own

• Technical Leadership & Architecture
  • Define, communicate, and maintain AIR’s technical architecture.
  • Lead technical decision-making and support engineers through complex problem-solving.
  • Reduce system-level risks, eliminate single points of failure, and improve maintainability.
  • Guide the team through ongoing modernization, integration scaling, and performance improvements.
• Hands-On Development
  • Write high-quality, production-ready code.
  • Own complex backend workflows, infrastructure changes, and service integrations.
  • Partner closely with the Product team to scope, sequence, and deliver features.
• Reliability, Code Quality & Deployment
  • Oversee code reviews, enforce engineering standards, and improve development workflows.
  • Own the end-to-end deployment pipeline, including CI/CD, rollback strategy, and stability.
  • Introduce tooling and automation to reduce regressions and improve team productivity.
• ATS + External Integrations
  • Lead the design, maintenance, and scaling of ATS integrations.
• Team Collaboration & Mentorship
  • Provide technical mentorship to a small but fast-moving engineering team.
  • Collaborate cross-functionally with Product, Design, QA, and AI Engineering.
  • Help create a culture of high ownership, learning, and engineering excellence.

What You Bring

• 5+ years of experience as a senior engineer; 1–2 years in a tech lead or staff-level role preferred.
• Strong proficiency in full-stack development (Node/TypeScript, React, or similar).
• AI-native development mindset — highly efficient with AI-enhanced coding tools (e.g., Cursor) to accelerate architecting, implementation, debugging, and tech debt cleanup.
• Experience designing and scaling production services with real users.
• Deep understanding of API integrations, webhooks, async workflows, and data mapping.
• Strong system architecture skills with a focus on reliability and maintainability.
• Comfort owning CI/CD pipelines and production deployments.
• Skilled in code reviews, team technical leadership, and mentoring.
• Ability to balance speed and quality in a startup environment.

Nice-to-Have

• Experience with AI/ML-driven products (LLM orchestration, model evaluation).
• Experience with ATS systems or HR tech integrations.
• Familiarity with security best practices, SOC2 environments, and user permissions/RBAC.
• Prior involvement in early-stage startups or rapid-growth teams.

What Success Looks Like In The First 90 Days

• You understand AIR’s architecture end-to-end and strengthen critical workflows.
• You take ownership of deployments and reduce operational risks.
• The engineering team is unblocked and moving confidently with you as technical anchor.
• ATS integrations are stable, monitored, and easier to maintain.
• Velocity remains strong even as we introduce more structure and reliability.

Why Join Us?

• You’ll lead the technical foundation of one of the fastest-moving AI hiring products.
• You’ll work with a tight-knit team who values autonomy, impact, and building things that matter.
• You’ll have real ownership: architecture, integrations, delivery, and engineering culture.
• You’ll shape how AI transforms hiring — from interviews to insights to recruiter workflows.

Key skills/competency

• Technical Leadership
• System Architecture
• Full-Stack Development
• API Integrations
• CI/CD
• Code Reviews
• Mentorship
• AI-Native Development
• Scalability
• Reliability