• Develop and evaluate AI models to detect deepfakes and synthetic content in images, PDFs, and scanned documents • Analyze invoices and business documents for manipulation, forgery, or AI-generated alterations • Support the integration of AI-powered document verification solutions into production workflows • Research and implement state-of-the-art techniques in deepfake detection, document forensics, and generative AI • Assist in building proof-of-concepts and datasets for fraud detection and authenticity verification

• Lead the product team. Manage, develop, and grow a team of product managers. Set the bar for discovery rigor, roadmap clarity, and shipping discipline. Build the team's capability alongside the products. • Own the portfolio roadmap. Set the 12-to-18-month product strategy across AI Products.. Make the investment tradeoffs explicit. Prioritize ruthlessly across products, not just within them. • Shape the agentic experience. Define how agentic workflows reason over the Commercial World Model and the Judgment Ontology: what they assess, how they explain their work, and where they hand off to a human analyst. The user's trust in the output depends on the quality of the provenance chain you design. Evaluation frameworks (how we measure whether agentic outputs are correct, complete, and defensible) are a first-order product concern. • Drive discovery with enterprise customers. Work directly with investigators, compliance officers, supply chain teams, and intelligence analysts at Fortune 500 enterprises, financial institutions, and government agencies. A customer advisory board and structured discovery process are already in place. You will use them and make them better. • Partner with engineering and design. Work closely with ML engineers, platform engineers, and the design team to understand the capabilities and constraints of our agentic architecture. Make sound product decisions at the model layer and the infrastructure layer, not just the interface. • Enable GTM. Build the product knowledge that sales and solutions engineering need to close enterprise deals. You will be in the room for late-stage evaluations. • Measure outcomes. Product analytics and an AI-based product team operating system are already in place. Define the metrics that tell you whether the portfolio is working. Use them to make decisions, not decorate reviews.

• Promote Mashgin’s Touchless Checkout System in New Hampshire. • Show people how to use the technology and debug any issues that arise. • Work part time, flexible hours, and take time off during holidays.

• Design advanced mathematical problems for frontier AI training and evaluation • Create deterministic problems with exactly one correct answer • Write complete, verified solutions and clearly document the reasoning process • Develop problems that test deep mathematical reasoning, not just memorization • Where relevant, use Python or specialized tools to build computational workflows • Ensure all outputs are technically precise, reproducible, and well-written in English