Engineering lead

LTV.ai
New York, NY

At LTV.ai, we’re redefining customer engagement for e-commerce brands by empowering them with their own AI-powered ambassadors to deliver hyper-personalized Email and SMS interactions at an unprecedented scale.

Our platform enables brands to communicate with their audience in a natural and contextually relevant manner, driving higher engagement and conversion rates. While increasing LTV and driving measurable growth, we help brands stay focused on what matters most - the customer.

Why join us?

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.

Recent wins

  • Developed a segmentation engine that leverages e-commerce platform data to personalise interactions in a compliant manner, at scale (40M+ consumers and growing 10% 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


We'd like to work on

  • Refining our AI infrastructure to enable deeper segmentation, optimise 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 self-service capabilities to provide brands across the industry seamless access to the LTV.ai platform
  • 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.


Role Responsibilities

  • Serve as a hands-on engineering leader, dedicating ~80% of your time to IC-level contributions (coding, reviewing, debugging)
  • Architect and maintain scalable, reliable backend infrastructure capable of supporting rapid growth and real-time AI-powered communications
  • Lead and mentor a growing team of engineers, fostering a culture of technical excellence and high ownership
  • Drive architectural decisions and technical roadmap in partnership with the founding team
  • Design and implement core infrastructure that supports AI-native applications, including multi-agent workflows, model routing, and real-time feedback loops
  • Collaborate cross-functionally with product, design, and data to prioritize and deliver high-impact features
  • Balance speed with technical rigor in a fast-paced, high-growth environment


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)
  • Experience leading or mentoring small, high-performing engineering teams
  • Pragmatic and adaptable - someone who thrives wearing many hats


Our Stack

  • Frontend: React (TypeScript)
  • Backend: NestJS (TypeScript)
  • Infrastructure: AWS managed with Terraform
  • Databases: PostgreSQL & ClickHouse


Compensation + Benefits

  • 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 - [email protected].

Not looking but know someone who would make a great fit? Refer them!

Compensation Range: $150K - $230K


Posted 2025-10-06

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