Lead Product Manager

About Verifymy

Verifymy is a leading safety technology provider on a mission to safeguard children and society online. Founded in 2019, we help businesses create safe, compliant online spaces with our suite of content moderation, detection, and validation solutions powered by privacy-preserving AI and computer vision models. Our solutions serve content platforms, social media networks, gaming communities, and digital marketplaces globally, protecting users whilst enabling creators and businesses to operate safely and compliantly.

The Role

We are seeking a strategic and experienced Lead Product Manager to drive the product vision and roadmap for our content moderation and detection platform. You'll lead cross-functional teams to deliver innovative computer vision solutions that detect, classify, and validate digital content, work closely with engineering and ML teams to advance our AI capabilities, and shape the future of digital content safety whilst ensuring compliance with evolving regulatory requirements, including the Online Safety Act.

What You'll Work On

Product Strategy & Vision

• Define and execute the product strategy and roadmap for Verifymy content moderation platform
• Conduct market research and competitive analysis in the trust & safety and content moderation space
• Collaborate with senior leadership to align product strategy with business objectives
• Drive product positioning and go-to-market strategies for new detection capabilities and moderation features
• Monitor emerging threats and content safety trends to inform product direction

Product Development & Delivery

• Lead cross-functional product teams including engineering, data science, and computer vision specialists
• Define detailed product requirements and user stories for content detection, classification, and moderation workflows
• Prioritise feature development based on platform safety needs, regulatory requirements, and technical feasibility
• Manage product backlogs and sprint planning in collaboration with engineering and ML teams
• Ensure timely delivery of high-quality product releases with rigorous testing for accuracy and bias
• Balance precision and recall in detection systems to minimise false positives whilst maintaining safety

Customer & Market Focus

• Engage directly with content platforms, creators, and trust & safety teams to understand moderation challenges
• Analyse content pipeline metrics, detection accuracy, and moderation efficiency to identify improvements
• Collaborate with sales and customer success teams to gather feedback from platforms and creators
• Champion user experience improvements for both content reviewers and platform administrators
• Monitor industry trends in content moderation, CSAM detection, synthetic media, and AI-generated content risks

Data-Driven Decision Making

• Define and track key product metrics, including detection accuracy, false positive/negative rates, and moderation throughput
• Conduct A/B testing and experimentation to optimise content classification models
• Analyse content funnel metrics, review efficiency, and appeal resolution rates
• Use data insights to inform model training priorities and feature development
• Monitor model performance across different content types and demographics to detect bias

Compliance & Risk Management

• Ensure product development aligns with regulatory requirements (Online Safety Act, GDPR, UK GDPR, CSAM regulations)
• Collaborate with legal, trust & safety, and compliance teams on content policy enforcement
• Stay current with evolving online safety regulations, content moderation standards, and industry best practices
• Balance automated detection with human review requirements
• Implement robust content forensics and audit trails for regulatory reporting

What We're Looking For

Product Management Experience

• 5+ years of product management experience with at least 2 years in a senior role
• Proven track record of delivering successful B2B SaaS products
• Experience with content moderation, trust & safety, computer vision, or AI/ML products preferred
• Strong understanding of API-first product development and platform integrations
• Experience working with content creators, digital platforms, or safety technology

Technical Understanding

• Solid technical background with ability to work effectively with engineering and ML teams
• Understanding of computer vision, image/video classification, and content fingerprinting technologies
• Strong familiarity with AI/ML concepts, including model training, evaluation, and deployment
• Understanding of modern software architecture, APIs, and cloud-based content processing pipelines
• Experience with data analytics and observability tools for monitoring model performance

Leadership & Communication

• Demonstrated experience leading cross-functional teams, including technical and non-technical stakeholders
• Excellent written and verbal communication skills
• Ability to translate complex AI/ML concepts and content safety challenges for non-technical stakeholders
• Experience presenting to senior executives, trust & safety teams, and external customers
• Sensitivity and professionalism when discussing challenging content moderation scenarios

Analytical Skills

• Strong analytical and problem-solving abilities with a focus on model evaluation metrics
• Experience with product analytics tools and metrics-driven decision making
• Proficiency with data analysis, statistical interpretation, and A/B testing methodologies
• Experience conducting user research with content moderators and platform operators
• Understanding of precision/recall tradeoffs and ROC curve analysis

Nice to Have

• Experience with compliance frameworks, including Online Safety Act, NCA/NCMEC reporting requirements
• Background in trust & safety, content policy, or digital forensics
• Previous experience at content platforms, social media companies, or safety technology providers
• Knowledge of content moderation standards, hash databases (PhotoDNA, PDQ), and CSAM detection technologies
• Experience with synthetic media detection, deepfake identification, or digital watermarking
• Understanding of content creator workflows and digital asset management systems
• Experience with international content policies and cultural considerations in moderation

Technical Skills That Will Help

Analytics & Data Science:

• SQL, NoSQL (MongoDB, Elasticsearch, DynamoDB), Python/R, Excel, statistical analysis packages
• Experience analysing large-scale content datasets and model performance metrics

Visualisation & Monitoring:

• Clickhouse, Power BI, Grafana, DataDog, and New Relic for monitoring content pipelines and model performance
• ML observability tools for tracking model drift and performance degradation

AI/ML Platforms:

• Understanding of computer vision model training, evaluation, and deployment
• Experience with image/video classification, object detection, and content fingerprinting
• Knowledge of model bias detection, fairness metrics, and responsible AI practices
• Familiarity with transfer learning, fine-tuning, and continuous model improvement

Platform Observability:

• System monitoring for content processing pipelines, queue management, and throughput optimisation
• Log aggregation and analysis for content moderation workflows

Testing & Quality:

• A/B testing frameworks for model comparison and feature rollouts
• Statistical significance testing and confidence interval analysis

Our Technical Stack

Languages: Go, Python, Rust, Node.js
Package Managers: NPM, Yarn, PNPM
Cloud: Google Cloud Platform (GCP)
Infrastructure: Docker, Kubernetes, Rancher, Jenkins CI/CD
CDN & Edge: Cloudflare
Monitoring & Analytics: Grafana, Metabase
AI/ML Development: Claude Code, Cursor IDE, Gemma models, computer vision frameworks
Content Processing: Scalable media processing pipelines, content fingerprinting systems, and hash database integrations
Development Tools: Various specialised build environments for ML training, content analysis, and automation