Jobs · Engineering · California

Head of Engineering

LTV.ai · San Francisco, CA · 2 days ago
On-siteEngineeringFull-time

Role Responsibilities

  • Serve as a hands-on engineering leader, dedicating ~70% of your time to IC-level contributions (coding, reviewing, debugging, shipping)
  • Architect and maintain scalable, reliable backend infrastructure capable of supporting rapid growth and real-time AI-powered communications
  • Validate and pressure-test architectural decisions across the stack – ensuring we build for scale without over-engineering
  • Unlock engineering velocity by removing blockers, improving developer tooling, streamlining CI/CD, and establishing lightweight processes that keep the team shipping fast
  • Enforce a high bar for code quality while keeping tech debt to near zero – you believe clean code and fast shipping are not at odds
  • Lead and mentor a growing team of engineers, fostering a culture of technical excellence, high ownership, and relentless iteration
  • Drive the technical roadmap in partnership with the founding team, balancing near-term product needs with long-term infrastructure bets
  • Design and implement core infrastructure that supports AI-native applications, including multi-agent workflows, model routing, and real-time feedback loops
  • Champion AI-first engineering practices across the org – ensuring we leverage AI coding tools, AI-native architectures, and emerging LLMOps patterns to stay ahead of the industry
  • Collaborate cross-functionally with product, design, and data to prioritize and deliver high-impact features

What We're Looking For (ideally)

  • 8+ years of backend engineering experience with deep architectural ownership
  • Proven track record of building and scaling backend systems, preferably in fast-growing SaaS, messaging, or e-commerce environments
  • Comfortable working in TypeScript (NestJS) and AWS-based infrastructure
  • AI-first mindset – you instinctively reach for AI-native solutions when designing systems, products, and workflows
  • Deep experience with or interest in LLMOps, AI application infrastructure, and emerging tools that accelerate AI product development
  • Excitement about using AI coding tools to boost velocity (e.g. Cursor, Copilot, Claude Code)
  • A strong sense of engineering taste – you know when to build fast and when to build right, and you’re allergic to unnecessary complexity
  • Experience leading or mentoring small, high-performing engineering teams
  • Pragmatic and adaptable – someone who thrives wearing many hats and moves fast without sacrificing quality

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