Principal Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $235k - $285k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 4%

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LTV.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🛍️ eCommerce

📣 Marketing

Artificial Intelligence • eCommerce • Marketing

LTV. ai is a technology company that specializes in AI-driven marketing solutions to enhance customer engagement. Their platform enables businesses to implement hyper-personalized and conversational messaging strategies through email and SMS, utilizing customer data like purchase history and feedback. LTV. ai aims to increase customer lifetime value (LTV) by optimizing communication and providing tailored product recommendations, ultimately boosting sales and customer satisfaction.

📋 Description

• Design, build, and run high-volume email delivery systems for multiple brands • Ship AI agents that plan, create, and run marketing campaigns from prototype through production • Own systems throughout their lifecycle, including production health • Break ambiguous problems into shippable steps and build iteratively • Collaborate with non-engineering teammates and brands to understand needs • Explain technical trade-offs in plain language • Review code and share knowledge • Contribute to work that helps the engineering team move faster • Report to the CTO and work hands-on with the engineering team

🎯 Requirements

• Experience building distributed systems handling high throughput, partial failure, retries, and recovery • Ability to understand system failure points • Ability to turn ambiguous problems into small, shippable steps • Ability to explain technical ideas clearly to engineers and non-engineers • Experience with TypeScript, Docker, AWS, and Mastra • Nice to have: startup experience • Nice to have: email or marketing technology experience, including deliverability, sending infrastructure, or campaign tooling • Nice to have: deep e-commerce knowledge • Nice to have: Shopify experience • Nice to have: experience developing data pipelines and using ML • Willingness to learn from any modern technology stack

🏖️ Benefits

• Equity • Fully remote work • Eastern Time (EST) working hours

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