Vermillio is a leader in AI guardrails for protection and licensing, building essential technology to ensure ethical environments for creators. They are seeking an experienced Product Manager to lead product development for their AI content protection and licensing platform, focusing on creating data-driven experiences for both enterprise clients and individual creators.
Responsibilities:
- Support the product roadmap for TraceID's protection and licensing platform - defining how we serve enterprise clients and individual creators
- Drive platform expansion to new user segments and creator types, translating their unique needs into differentiated product experiences
- Design experiences for diverse personas: major media companies, record labels, talent agencies, high-profile creators, and emerging artists
- Make high-stakes product decisions with significant autonomy in a fast-paced, high-impact startup environment
- Architect how we transform large-scale data systems (annotation, content detection, attribution) into actionable insights for users
- Leverage LLMs and custom models to surface meaningful patterns in content usage, protection effectiveness, and licensing opportunities
- Work closely with engineering to refine how we ingest, process, and present complex data non-technical users
- Own how we surface detection results, usage patterns, licensing opportunities, and threat alerts to users with varying levels of technical expertise
- Design information architecture that helps users quickly understand where their content appears across the internet and how it's being used
- Collaborate directly with designers and engineers to build data-rich interfaces that balance comprehensiveness with ease of use
- Ship quickly, gather user feedback on how users interpret and act on data, and iterate rapidly based on real-world usage patterns
- Work directly with first enterprise customers - major media companies, record labels, and publishers - to understand pain points and requirements
- Participate in sales conversations and product demos, translating customer needs into product specifications
- Build relationships with decision-makers in entertainment and media industries
- Research how traditional media companies are approaching AI partnerships to position TraceID's capabilities strategically
- Establish product development processes and best practices as the team scales
- Wear multiple hats and take on responsibilities beyond traditional PM scope as needed
- Contribute to hiring and company culture as we build out the team
- Drive immediate business impact - your decisions directly influence revenue goals and customer acquisition
- Work as a close partner to our engineering team. You'll write clear requirements, participate in sprint planning, and be present throughout development to answer questions and make tradeoffs in real time
- Use product analytics and client data to identify opportunities and validate decisions. You're comfortable pulling insights from tools like Mixpanel, working with data testing, and using findings to drive prioritization
- Identify bottlenecks in our existing data and content pipelines and drive improvements. Evaluate and integrate new tools, AI, and automation to reduce manual work and increase throughput. You'll work closely with engineering to spec and ship these improvements
- Own ongoing competitive research and customer discovery. Translate findings into product decisions and help shape our positioning as we scale
- Own design and UX decisions within your workstreams. You'll create wireframes, define user flows, and work closely with engineering to ensure quality implementation. A strong eye for product design and experience building intuitive interfaces is essential
- Partner directly with top clients to understand their needs and define solutions. You'll be the connective tissue between client feedback and what gets built, helping us deliver customized value without letting the product become a dev shop
- Help lead the product evolution from a consumer-facing app to a scalable B2B platform. This includes rethinking navigation, onboarding, role-based access, and how enterprise users experience the product differently from individual users