Staff Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

đź’µ $195k - $245k / year

⏰ Full Time

đź”´ Lead

🧑‍💻 Full-stack Engineer

Where this job comes from

Posted on LTV.ai's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of LTV.ai

LTV.ai

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.

đź“‹ Description

• Design, build, and operate high-volume email systems for multiple brands • Ship AI agents that plan, create, and run campaigns from prototype through production • Own systems from initial development through post-launch production health • Break ambiguous problems into small, shippable steps and build iteratively • Collaborate with non-engineering teammates and brands to understand needs and explain technical trade-offs • Review code, share knowledge, and handle operational work that helps the team move faster • Report to the CTO and work alongside a lean engineering team

🎯 Requirements

• Experience building distributed systems that handle high throughput, partial failure, retries, and recovery • Ability to turn ambiguous problems into clear, shippable steps • Ability to explain technical ideas clearly to engineers and non-engineers • Experience with TypeScript, Docker, and AWS • Nice to have: startup experience • Nice to have: experience in email or marketing technology, including deliverability, sending infrastructure, or campaign tooling • Nice to have: deep e-commerce knowledge; Shopify experience is an extra plus • Nice to have: comfort developing data pipelines and using ML • Openness to learning from any modern technology stack

🏖️ Benefits

• Equity • Fully remote work • Working on Eastern Time (EST) hours

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