Jobs in the United States

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Adobe Lead Business Consultant
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United States
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Sr Software Development Engineer- SCOUT
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United States
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ML Research Engineer, HOUr - ISE
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Autonomy SME, Lead
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Washington, DC
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Data Engineer
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Data Engineer
Booz Allen Hamilton_United States
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…unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data…
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AI/ML Engineer
Booz Allen Hamilton_United States
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Senior Data Engineer – AWS, Python
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Manager, Solutions Engineering | East Coast | Remote
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- $23.8 to $56.83 USD / hour
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LTV

Staff Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 12, 2026

Original job description

ABOUT LTV.AI

We're building retention marketing's first AI workforce. LTV.ai is the autonomous marketing platform for ecommerce: AI agents find revenue opportunities, build the campaigns, and run them once the brand approves. Brands across apparel, beauty, furniture, gaming, hotels and more use us for email, deliverability and 1:1 AI conversations.

We think the next leap in retention marketing won't come from better schedulers or bigger template libraries. It will come from a platform that thinks. Our founding team is operators, engineers and former retention leads, backed by funds and operators who have built or bought from ecommerce brands.

THE ROLE

We're hiring a Staff Software Engineer to join our lean, hands-on engineering team. You'll report to the CTO and build alongside the other engineers every day. There are no silos here: one week you might be scaling how we send email, the next you're shipping a new AI agent or tightening how we measure results. We'll match the level to your experience.

Fully remote, working on Eastern Time (EST) hours
Reports to the CTO
Compensation: $195k to $245k base salary plus equity, depending on level and experience

WHAT YOU'LL DO

Design, build and run systems that send high volumes of email for many brands, reliably and on time.
Ship the AI agents that plan, create and run campaigns, from first prototype to production.
Own what you build from first commit to long after launch, including keeping it healthy in production.
Turn fuzzy problems into small, shippable steps, then build to learn what's next.
Work with teammates outside engineering and with brands to understand what they need, and explain technical trade-offs in plain terms.
Raise the bar for the team: review code, share what you know, and pick up the unglamorous work that helps everyone move faster.

ENGINEERING AT LTV.AI

We're a small team taking on hard problems where AI meets high-volume personalized email, and we're in it for the long haul. We're looking for engineers who:

See the success of the team as their success
Have built distributed systems that handle high throughput, partial failure, retries and recovery, and know where they tend to break
Leave code and systems better than they found them
Seek out trade-offs, not shortcuts, and turn disagreements into assumptions they can test
Break big problems into clear steps and pick the right-sized solution, not the most elaborate one
Explain technical ideas clearly to engineers and non-engineers alike
Enjoy deep technical discussions with other low-ego engineers
Want to keep growing while helping others level up
Are curious about the domain and the problem, not just the code

AI-assisted, human-owned. Here at LTV we're building for the long term delivery of customer value. We take advantage of the latest AI engineering tools but we don't delegate responsibility to them. Expect to design the solutions, understand the code, and own the results. We're building a world-class team that operates at a sustainable pace, not just sprinting to get out the next feature.

NICE TO HAVE

Worked at a startup and like the pace and breadth that come with it.
Experience in email or marketing tech, such as deliverability, sending infrastructure or campaign tooling.
Deep knowledge of e-commerce. Experience with Shopify is an extra plus
Comfort developing data pipelines & using ML

OUR STACK

We build primarily with TypeScript, Docker and AWS, & Mastra for our agentic flows.

Interested in LTV.ai but worried your experience doesn't line up exactly? We've seen success with engineers from any modern stack who are open to learning. We'd love to hear from you.

To all recruitment agencies: we do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.

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Jobs in the United States