Engineering Manager, Mulitimodal Modeling

Engineering Manager, Mulitimodal Modeling WHO IS FLOCK? Flock is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. Our hardware and software suite connects cities, law enforcement, businesses, schools, and neighborhoods in a nationwide public-private safety network. Trusted by over 5,000 communities, 4,500 law enforcement agencies, and 1,000 businesses, Flock delivers real-time intelligence while prioritizing privacy and responsible innovation. We’re a high-performance, low-ego team driven by urgency, collaboration, and bold thinking. Working at Flock means tackling big challenges, moving fast, and continuously improving. It’s intense but deeply rewarding for those who want to make an impact. With nearly $700M in venture funding and a $7.5B valuation, we’re scaling intentionally and seeking top talent to help build the impossible. If you value teamwork, ownership, and solving tough problems, Flock could be the place for you. THE OPPORTUNITY As an Engineering Manager, Multimodal ML, you will lead a team of high-performing engineers responsible for advancing Flock's core multimodal search and retrieval systems. Your team builds and maintains the embedding models that power image-to-vector pipelines, embedding storage and retrieval infrastructure, and cross-modal search capabilities enabling both image and text queries. You will also oversee the moderation model that ensures safe and appropriate query handling across our search products. You will set the technical direction and execution strategy for multimodal model development, evaluation, deployment, and lifecycle management — ensuring our retrieval systems deliver fast, accurate, and scalable search experiences. As a people leader, you will be responsible for hiring, mentoring, and growing a strong, mission-driven engineering team, fostering a culture of technical excellence, ownership, and continuous learning. In close partnership with product, search, and platform teams, you'll align roadmap priorities with business impact while empowering your team to execute effectively. Your leadership will be central to Flock's ability to deliver state-of-the-art vision-language systems that power critical public safety workflows. HOW YOU'LL MAKE AN IMPACT - Lead and grow a high-performing Multimodal ML team — hiring top talent, developing engineers' careers, and building a culture of ownership, technical excellence, and continuous improvement. - Manage competing workstreams across model development, production reliability, and moderation — prioritizing effectively and ensuring the team delivers on the highest-impact work. - Guide the development and improvement of multimodal models for image-text and image-to-image embeddings, ensuring high-quality modality alignment and retrieval performance. - Oversee the full ML lifecycle for multimodal systems — data strategy, training pipelines, evaluation frameworks, vector storage, deployment, monitoring, and retrieval — ensuring scalable, reliable production systems. - Drive innovation in cross-modal search capabilities, extending support to new data sources (e.g., drone video, mobile LPR imagery) and evolving product needs. - Own the moderation model, ensuring query handling meets safety and appropriateness standards across search products. - Own production reliability for the multimodal search pipeline, including incident response, on-call processes, and service-level commitments. - Balance forward-looking innovation with maintenance and operational excellence, proactively addressing model drift, embedding quality degradation, and system reliability. - Partner cross-functionally with product, search, data engineering, and platform teams to translate business priorities into a clear technical roadmap and deliver high-impact multimodal capabilities. - Mentor and develop engineers through technical leadership, code reviews, architectural guidance ... (truncated, view full listing at source)