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Senior Full Stack Engineer

MLabs
United States - Remote, United StatesRemotefull_timeVerifiedPosted 13 Nov 2025
💰 $270,000/yr($180,000/yr$270,000/yr)

About the role

Senior Full Stack Engineer (Frontend-Centric) - AI Marketing & Data Platform

Location: Remote - US or Canada

Compensation: $180,000 – $270,000

We are a high-growth, $1.2B-valued company that pioneered the Composable Customer Data Platform (CDP), empowering every business user to take action on their data. We are building the next generation of marketing products, including an AI Decisioning platform that allows marketers to set goals for AI agents to personalize customer interactions. We are seeking a Senior Full Stack Engineer (70-80% Frontend) to develop the intuitive, interactive interface that makes advanced AI and deep analytics accessible to non-technical users.

You will be instrumental in the end-to-end design and implementation of highly interactive user interfaces for a new era of marketing and growth products. This is a frontend-centric role that requires strong architectural ownership, proficiency in modern web stacks, and a solid understanding of backend API design to integrate complex machine learning models into intuitive user experiences.

On a typical day, you will:

  • Feature Architecture: Architect and build features end-to-end for a new generation of marketing and growth products, from the database schema to the polished UI.
  • AI Integration: Collaborate closely with ML engineers to seamlessly integrate complex ML models and AI agents into highly interactive user interfaces.
  • User Interface Design: Craft intuitive interfaces that enable marketing and growth teams to set up complex experiments and utilize deep analytics platforms.
  • Customer Collaboration: Work closely with customers, designers, and product managers to deeply understand real-world behavior and translate insights into confident product decisions.
  • Full-Stack Execution: Be proficient in building CRUD applications and demonstrate a solid understanding of backend API design and data models (using TypeScript, React, Go).

Requirements

  • Experience: 3 – 8 years of experience in software engineering, with a focus on frontend-centric development.
  • Frontend Leadership: Proven ability to independently lead and architect complex frontend systems (using TypeScript, React, HTML, CSS).
  • Full-Stack Proficiency: Strong proficiency in building CRUD applications and a solid understanding of backend API design and data models (our backend uses Go).
  • Product Collaboration: Proven experience working closely with product teams to build user interfaces from zero to one.
  • Mindset: Motivated, persistent, possesses a growth mindset, and thrives in ambiguous environments where technical and product outcomes are equally valued.

Logistics & Location:

  • Location: Remote (US or Canada).
  • Visa: Visa sponsorship is available (H1B transfer, TN, O-1, etc.) for exceptional candidates.

Benefits

  • Compensation: Highly competitive salary range of $180,000 – $270,000 (full-time) and meaningful equity (ISO options).
  • Time Off: Flexible PTO and Wellness Days each quarter.
  • Health & Retirement: Core benefits (health, dental, vision, life insurance), competitive Parental Leave (up to 16 weeks), and 401k (US employees).
  • Remote Work: Remote-first environment with a stipend for connectivity and commuter benefits.
  • Development: Professional development stipend (classes, books, conferences).
  • Impact: Foundational role in the AI Decisioning platform, working on challenges that are redefining the operational paradigm in marketing.

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 discr

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Company

MLabs

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