Lead Product Manager, Data and AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Product Manager, Data and AI based in the United States.

This is an exciting opportunity for an experienced product leader to shape the future of data and artificial intelligence within a fast-growing, mission-driven environment. The role focuses on defining long-term strategy and delivering innovative AI-powered solutions that improve operational efficiency, enhance user experiences, and drive business growth. Working at the intersection of product, engineering, data science, and business teams, you will lead complex initiatives from concept to deployment. You will play a key role in transforming data into a strategic asset while ensuring responsible and ethical AI practices. This position offers significant ownership, high visibility, and the chance to influence enterprise-wide decisions. It is ideal for someone who thrives in fast-paced environments and enjoys solving complex challenges through technology and innovation.

• Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities.
• Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery.
• Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows.
• Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts.
• Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders.
• Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes.
• Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.
• 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products.
• At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products.
• Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions.
• Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives.
• Strong communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to executive and non-technical audiences.
• Experience working across multidisciplinary teams in fast-paced environments and influencing decisions without direct authority.
• Familiarity with regulated industries and an understanding of data privacy, governance, security, and ethical AI principles is considered a strong advantage.

Benefits

• Annual base salary ranging from $161,000 to $221,500, depending on experience, qualifications, and location.
• Eligibility for performance-based or discretionary bonus programs.
• Comprehensive healthcare coverage, including medical, dental, vision, life, and disability insurance options.
• Flexible spending accounts (FSA) and health savings account (HSA) programs.
• Access to coaching, therapy, and well-being support services.
• Equity participation through company stock programs.
• Generous paid time off, including vacation, sick leave, and company holidays.
• Paid parental leave.
• 401(k) retirement plan with company matching contributions.
• Monthly technology allowance.
• Additional wellness initiatives, employee events, recognition programs, and community-focused activities.