Lead Product Manager, Data and AI

🔥 15 horas atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $161.000 - $221.500 / ano

⏰ Tempo Integral

🟠 Sênior

✅ Gerente de Produto

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Lyra Health

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2015

⚕️ Seguro de Saúde

☁️ SaaS

👥 RH Tech

💰 $235.000.000 Series F em 2022-01

Healthcare Insurance • SaaS • HR Tech

A Lyra Health é uma empresa de saúde mental que faz parceria com organizações para oferecer benefícios de saúde mental abrangentes e eficazes para a força de trabalho global. Ao fornecer cuidados de saúde mental baseados em evidências, a Lyra Health melhora o bem-estar dos funcionários e gera impacto nos negócios. Sua plataforma oferece suporte de saúde mental de alta qualidade por meio de uma rede global de profissionais, utilizando tecnologia de correspondência por IA para conectar rapidamente os membros a provedores adequados. A Lyra Health atende famílias, casais, adultos e crianças, oferecendo suporte para diversas necessidades de saúde mental. Seus programas visam melhorar a saúde dos funcionários, a produtividade e reduzir custos com saúde, oferecendo uma experiência perfeita aos membros.

Descrição

• Product Vision & Strategy: Define and champion a compelling multi-year product vision and roadmap for data and AI platforms, aligning technical milestones with Lyra's business growth, revenue objectives, and clinical goals. • GenAI & Modern Lifecycle Management: Drive high-impact opportunities leveraging generative AI, Large Language Models (LLMs), agentic AI, and advanced analytics, managing the entire lifecycle from ideation and rapid experimentation to scalable production deployment. • Cross-Functional Leadership: Collaborate extensively across complex matrixed stakeholder groups—including Product, Design, Engineering, Clinical Quality, and GTM teams—to embed smart AI capabilities directly into core member experiences and operations. • Responsible AI & Governance: Partner closely with Legal, Privacy, and Clinical leadership to maintain rigorous responsible AI practices. • Impact Metrics & Optimization: Design robust measurement and experimentation frameworks (such as online controlled A/B testing) to track model effectiveness, quantify business outcomes, and evaluate trade-offs between tactical execution and long-term research. • Technical Team Collaboration: Translate unstructured business pain points into crisp, detailed product requirements, acting as a translator between highly technical data disciplines and non-technical business leaders. • Mentorship & Culture: Lead by example, mentoring junior team members, sharing technical product management best practices, and actively fostering a highly rigorous, data-driven culture across the product organization.

🎯 Requisitos

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related highly quantitative field. • Product Experience: 8+ years (Lead PM) of progressive product management experience within successful enterprise SaaS, cloud-based software, or health tech organizations, with a proven history of launching large-scale products with complex dependencies. • Data & AI Expertise: 3+ years of direct experience shipping machine learning and data-driven products at scale. Deep understanding of modern machine learning algorithms, deep learning techniques, generative AI use cases, and the infrastructure needed to deploy LLMs contextually. • Communication Skills: Exceptional written and verbal communication, narrative storytelling, and presentation skills; masterful ability to communicate complex algorithmic systems and technical trade-offs to non-technical executive teams and demanding corporate customer audiences. • Strategic Execution: Proven capacity to methodically unpack ambiguity, handle competing objectives, establish clear product boundaries, and maintain a calm, execution-oriented mindset in a fast-paced, high-velocity environment. • Healthcare Alignment (Nice-to-Have): Prior experience navigating a highly regulated industry (Healthcare Tech, FinTech) with an innate respect for data ethics, privacy constraints, and patient clinical quality.