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Software Engineer, AI

Software Engineer, AI (0→1 Product Focus)

Full-time | Hybrid

Location: San Francisco Bay Area

We are a high-growth, well-funded technology company pioneering the Composable Customer Data Platform (CDP) and AI Decisioning space. We empower every business user to leverage data and AI for marketing personalization and business operations. We are looking for a product-minded Software Engineer to explore new 0→1 opportunities in AI and define the future of AI-powered marketing.

This is a unique, high-impact role focused on prototyping and shipping entirely new product ideas. You will blend backend engineering, data analysis, and applied AI to create infrastructure and features that generate insights and content from vast customer datasets.

What you'll work on:

  • Own 0→1 AI Opportunities: Take ownership of exploring and developing new product lines, particularly within the marketing domain, leveraging AI/ML.
  • Build AI Infrastructure: Design and build early experiments and the necessary infrastructure (LLMs, light ML) to generate sophisticated insights and personalized content directly from customer data.
  • Rapid Prototyping: Work closely with a small team, including the CTO and COO, to quickly prototype and ship new product ideas that lay the groundwork for major product lines.
  • AI Methodology Exploration: Explore different AI methodologies and determine where various LLMs can and cannot be most effectively and reliably used within the product.
  • Develop AI Agents: Contribute to the development of an automated AI agent capable of finding unique insights, converting them into marketing opportunities, generating content, and identifying high-propensity users or those likely to churn.

The ideal candidate is a senior-level engineer with a product-first mindset, comfortable operating with speed and ambiguity in an early-stage exploration environment.

  • 4–12 years of software engineering experience with a strong product-first mindset.
  • Proven track record of building and scaling AI/ML-driven products.
  • Proficiency in Backend Engineering and experience working with LLMs and/or light ML for content or insight generation.
  • Strong background in data analysis and the ability to apply AI models to derive business value from customer data.
  • Excellent collaboration and communication skills, necessary for working closely with founders and product leadership to define vision.

Work Policy:

  • This is a full-time, hybrid role. Candidates must be based in the San Francisco Bay Area to occasionally visit the office for critical team meetings.
  • Visa sponsorship is available (can sponsor most visas).

Join a high-value company ($1.2B valuation, Series C) backed by top-tier investors, where you will have maximum technical autonomy and the chance to define entirely new market categories.

  • Highly Competitive Salary: Base salary ranging from $200,000 - $300,000.
  • Equity: Competitive Equity package in a well-funded, proven technology company.
  • High Impact: Opportunity to work directly with leadership on 0→1 product exploration with the potential to create major new product lines.

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 [email protected].

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 [email protected].

Average salary estimate

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$300000K

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Full-time, hybrid
DATE POSTED
November 16, 2025
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