Senior Engineer

LTV

3d•$155,000 - $205,000•Remote

About The Position

LTV.ai is building an autonomous marketing platform for ecommerce, where AI agents identify revenue opportunities, create campaigns, and run them after brand approval. The Senior Software Engineer will join a lean, hands-on engineering team, report to the CTO, and build alongside other engineers. Work spans scaling high-volume email systems, developing AI agents, and improving measurement. The role is fully remote and follows Eastern Time (EST) hours. Compensation is $155,000 to $205,000 base salary plus equity, depending on level and experience.

Requirements

Experience building distributed systems that handle high throughput, partial failure, retries, and recovery, and an understanding of where such systems tend to break.
Ability to improve existing code and systems.
Ability to evaluate trade-offs, test assumptions, and avoid unnecessary complexity.
Ability to break large problems into clear steps and choose appropriately sized solutions.
Ability to explain technical ideas clearly to engineers and non-engineers.
Interest in collaborative technical discussions and helping teammates grow.
Curiosity about the domain and the problem, not only the code.
Openness to learning, including from engineers with experience in different modern technology stacks.
Ability to design solutions, understand the code, and take responsibility for results when using AI engineering tools.

Nice To Haves

Startup experience and enjoyment of the pace and breadth of startup work.
Experience in email or marketing technology, such as deliverability, sending infrastructure, or campaign tooling.
Deep knowledge of ecommerce; Shopify experience is an additional plus.
Comfort developing data pipelines and using machine learning.

Responsibilities

Design, build, and operate reliable systems that send high volumes of email for multiple brands.
Build and ship AI agents that plan, create, and run campaigns, from prototype through production.
Own systems throughout their lifecycle, including maintaining their health in production.
Break ambiguous problems into small, shippable steps and build to learn what to do next.
Work with non-engineering teammates and brands to understand needs and explain technical trade-offs clearly.
Review code, share knowledge, and take on work that helps the team move faster.