Ltv
Head of Engineering
3mo ago
USAHeaddata pipelinesegmentation engineai infrastructurelarge language modelspersonalization
Lead the engineering team at Ltv to develop scalable AI-driven email marketing solutions for e-commerce brands.
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
Conditions
- We’re a fast-moving team building a high-growth company that’s transforming the e-commerce industry. As an early team member, you’ll play a key role in shaping both our product and the future of e-commerce, with the opportunity to grow alongside us.
- Competitive compensation, equity, and a commitment to your personal and professional growth.
- If this role sounds like it could be a fit, we’d love to hear from you! Feel free to reach out to our founder directly
- Not looking but know someone who would make a great fit? Refer them!
Other
- At LTV.ai, we’re redefining email marketing for e-commerce brands by automating a lot of the day-to-day manual grunt work that goes into email marketing, from segmentation, to creating campaigns without designers, to personalization.
- While increasing LTV and driving measurable growth, we help brands stay focused on what matters most – the customer.
- Developed a segmentation engine that leverages e-commerce platform data to personalize interactions in a compliant manner, at scale (100M+ consumers and growing 40% MoM)
- Built out a data pipeline capable of handling millions of events daily
- Enabled the use of multiple LLMs for a single interaction, optimized for the best performance while reducing costs
- Onboarded some of the largest e-commerce brands across the industry (e.g. Backcountry, J. Jill, Fabletics, Sur La Table) turning them into massive believers in both our product and our vision
- Refining our AI infrastructure to enable deeper segmentation, optimize customer-level memory, and integrate advanced agentic workflows for greater adaptability and efficiency
- Enhancing our AI conversation engine to deliver self-optimizing interactions that gather actionable feedback
- Expanding our image creation capabilities to provide our brands with a wider medium of emails to send, thus offsetting end brand costs and increasing product adoption
- 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
- Frontend: React (TypeScript)
- Backend: NestJS (TypeScript)
- Infrastructure: AWS managed with Terraform
- Databases: PostgreSQL & ClickHouse