‍Compensation:

• Equity: 2.0% - 5% (depending on experience and contribution)
• Salary (post-funding): $120,000 - $180,000
• Deferred Salary Agreement: Payment will begin once pre-seed funding is finalized (by March), with retroactive compensation.

About InsightBox

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InsightBox is revolutionizing marketing with the first AI Audience Intelligence platform that identifies the most valuable audiences based on specific business context. Sports/event marketers have all data but do not know the “so what” part. InsightBox AI will tell you which offers to send, to whom, when, and with what message.

Our platform empowers marketers with a level of precision and efficiency that wasn’t possible before. By leveraging generative AI and a proprietary library of over 100 AI modules, we translate complex business objectives into clear, data-driven marketing actions. Our technology streamlines audience targeting, reducing workflows that once took months to just weeks.

Trusted by industry leaders like a top MLB team, InsightBox is already driving real-world impact in sports and entertainment and soon in fashion and travel. Our machine-learning architecture is designed to cut through marketing noise, helping brands connect with their audiences in a more relevant and effective way.

We are part of Alchemist, Silicon Valley’s premier B2B accelerator, and ranked in the top 25% of the program based on investor interest and potential. We are in the final stages of closing our pre-seed round, with strong traction and interest from top venture capital firms. This is an exciting time to join as we gear up for rapid growth and expansion.

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What’s it like to work with us?

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At InsightBox, we are a team of builders, problem-solvers, and industry experts who saw a gap in marketing intelligence and decided to fix it. We believe in fostering an environment where curiosity and collaboration thrive. If you join us, you’ll work at the forefront of AI-driven marketing, shaping how businesses connect with their audiences.

We value:

• Humility – Recognizing that learning never stops.
• Fast learning – Staying ahead in AI and marketing requires adaptability.
• Transparency – We support each other and tackle all challenges together as a team. Honesty is one of the core values.
• Proactivity – Thinking ahead, taking initiative, and pushing boundaries.
• Authenticity – Early-stage startups are fast-paced; we want you to be yourself and enjoy the journey with all of us. It has been a fun ride!

About the Role

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As a Founding AI Engineer at InsightBox, you’ll play a critical role in shaping the core AI infrastructure that powers our audience intelligence platform. This is a hands-on, high-impact position where you’ll design, build, and optimize machine learning models that turn complex business objectives into actionable insights.

You’ll be responsible for developing and deploying AI models, improving ML pipelines, and working with large-scale datasets to drive marketing intelligence across industries like sports, entertainment, fashion, and travel. You’ll collaborate closely with our leadership team to push the boundaries of AI-driven marketing, ensuring our technology remains both cutting-edge and practical for real-world applications.

If you’re excited by the challenge of building AI solutions from the ground up, working in a fast-paced startup environment, and making a tangible impact, we’d love to hear from you.

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Responsibilities

• Develop and Deploy Advanced Machine Learning Modules: Design and implement new machine learning models, focusing on integrating logical reasoning capabilities into AI/ML systems to address complex business challenges.
• Optimize and Innovate ML Pipelines: Enhance existing machine learning pipelines and develop new ones to improve speed, efficiency, and scalability, utilizing tools like Vertex AI Pipelines for seamless orchestration. 
• Prioritize Key Metrics and Leverage Feature Engineering: Systematically identify and focus on critical metrics within large datasets, employing advanced feature engineering and statistical techniques to extract actionable insights.
• Implement and Refine Generative AI Solutions: Develop and fine-tune generative AI models to enhance marketing automation and decision-making processes, ensuring alignment with current industry trends.
• Collaborate with Cross-Functional Teams: Work closely with various departments to translate business objectives into data-driven strategies, ensuring cohesive and effective AI solutions.
• Ensure Production-Ready and Scalable Models: Deploy models that are robust, scalable, and continuously improved based on real-world performance metrics and user feedback.
• Leverage Cloud Infrastructure: Utilize Google Cloud Platform (GCP) services, i.e., Vertex AI pipelines, for scalable, automated, & reproducible workflows.
• Stay Informed on AI/ML Advancements: Keep abreast of the latest developments in AI and machine learning, contributing to InsightBox’s long-term AI strategy by integrating cutting-edge technologies and methodologies.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, AI, or a related field.
• 5+ years of experience in machine learning, data science, or AI engineering.
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Experience with generative AI, LLMs, and frameworks like LangChain or LlamaIndex.
• Strong background in statistics, feature engineering, and predictive modeling.
• Hands-on experience with Google Cloud Platform (GCP) and Vertex AI for model deployment.
• Knowledge of MLOps, CI/CD pipelines, and scalable ML workflows.
• Ability to manage and analyze large datasets, both structured and unstructured.
• Problem-solving mindset, ability to work independently in a fast-paced startup.
• Strong collaboration and communication skills.