Interested in using AI to market a platform about AI that is being built with AI?  Are you an innovative digital marketer who enjoys hands-on execution and experimentation across a variety of digital channels?  Do you like learning new AI tools working in a fast-paced environment that lets you launch them across multiple areas of marketing—web content, email automation, AEO/GEO, newsletters, paid media, content promotion, and analytics? Have you helped design and launch AI-powered digital solutions?  Can you stay ahead of the market by leveraging the latest AI tools before they become mainstream?  If you’re detail-oriented, curious, and eager to grow as an AI product marketer, this role is a great fit.

We’re seeking an AI Product Marketing Specialist who will lead the product requirements, high-level feature design, and marketing of an AI-focused platform which was just launched as a wiki, but with big plans for additional AI-powered features, content expansion, and a high volume of highly engaged traffic.  The vision is to become the leading destination for AI business strategy, research, and discussion.

You will support the execution of digital programs that generate awareness, engagement, and user content. You will work closely with the CEO to plan product features, manage launches, implement marketing campaigns, monitor performance, manage assets, and help improve our marketing operations. This is an ideal role for a self-motivated person who has been personally (or through work) experimenting with the latest AI tools (e.g. Claude Code, OpenClaw, agents) and wants to deploy them into production for large-scale B2B marketing.

• We are seeking a talented Applied AI/ML Engineer to develop sophisticated models that leverage both visual and time-series data.
• In this role, you will focus on designing and implementing advanced algorithms to extract meaningful patterns, make accurate predictions, and solve complex analytical challenges.
• Your primary responsibility will be hands-on model development (for deploying in to automotive domain), from data analysis and feature engineering to training and evaluation.
• Key Responsibilities: Advanced Model Development Design, build, and validate machine learning models for a variety of complex tasks, including: Computer Vision: Object Detection, Image Segmentation, Facial Analysis, and Classification.
• Time Series Analysis: Forecasting, Anomaly Detection, and Classification of sequential data.
• Multi-Modal Modeling: Fusing visual and temporal data to create more powerful predictive models. 
• Algorithm Implementation and train a wide range of models, including Deep Learning architectures (CNNs, Transformers, LSTMs, GRUs) and traditional statistical methods (e.g., ARIMA, Prophet).
• Stay current with state-of-the-art techniques and apply them to our unique datasets.
• Data Analysis & Feature Engineering Conduct in-depth exploratory data analysis to understand data characteristics and identify predictive signals.
• Develop and implement novel feature engineering techniques tailored to both image and time-series data.
• Model Optimization & EvaluationFocus on building computationally efficient models.
• Rigorously evaluate model performance using appropriate metrics and validation strategies to ensure robustness and accuracy.
• Optimize model architecture and hyperparameters to achieve desired performance targets.