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MLabs

MLabs

via Workable

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Founding Product Engineer

Anywhere
full-time
Posted 10/13/2025
Direct Apply
Key Skills:
Full-Stack Engineering
Backend Engineering
Email Automation
Data Processing
AI
Machine Learning
Predictive Modeling
Dynamic Campaign Management
Data Science
Technology Stack
Customer Engagement
Automation
Lookalike Audience Modeling
Programmatic Decision-Making
High-Volume Systems

Compensation

Salary Range

$120K - 180K a year

Responsibilities

The Founding Product Engineer will lay the foundation of the technology stack and build full-stack features for the AI-driven outreach platform. This role involves taking ownership of large-scale email automation and developing data processing solutions for large datasets.

Requirements

Candidates should have 3-8 years of experience as a full-stack or backend engineer and a passion for hands-on, end-to-end feature ownership. Experience or strong interest in large-scale data processing and AI/ML concepts is also required.

Full Description

Founding Product Engineer (AI Consumer Outreach) Location: Remote, USA Employment Type: Full-time Work Arrangement: Fully Remote About the Role Our client is a US consumer outreach and prospecting platform that is redefining how brands find and engage new customers. Their platform leverages 11 billion datapoints and 240 million US consumer prediction profiles to provide intelligent automated matching and multi-touch B2C outreach. The company recently raised $5 million in funding. They are seeking a Founding Product Engineer to build and ship full-stack features that power their AI-driven outreach platform. This is a high-impact, hands-on role where you'll lay the foundation of the entire technology stack, influence product direction, and turn massive datasets into real customer impact. What You'll Do Lay the foundation of the technology stack and product, shipping top-to-bottom features to production. Take ownership of large-scale email automation, focusing on high-volume emailing and dynamic campaign management. Work closely with the CTO to build and iterate on a recommendation/predictive engine that automates scheduling and programmatic decision-making. Develop and implement data processing solutions for large datasets, incorporating elements of lookalike audience modeling and responsive decision-making. Implement state-of-the-art AI advancements and experiment with data science concepts to add leverage to your work. Contribute significantly to shaping both the technology stack and company culture as an early, impactful hire. 3-8 years of experience as a full-stack or backend engineer. A passion for working in a hands-on, founding role with end-to-end feature ownership. Experience or strong interest in large-scale data processing, AI/ML concepts, and high-volume systems (like email automation). Salary: $120K - $180K Equity: Competitive Visa Sponsorship: Not available for this role. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

This job posting was last updated on 10/14/2025

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