
AI Product Manager
Posted Aug 25

Posted Aug 25
This is a fully remote position, open to applicants in United States, +1 more country.
β’ Oversee the development of systems that drive Ledgebrook's fully autonomous underwriting engine.
β’ Spearhead the planning, execution, and delivery of intricate AI/ML projects.
β’ Collaborate cross-functionally with engineering, product, data, analytics, and business teams.
β’ Work in partnership with engineering, analytics, and business leaders to establish priorities.
β’ Manage sprints and ensure alignment of the AI roadmap with organizational objectives.
β’ Identify and assess high-impact AI use cases.
β’ Coordinate efforts across teams to deliver significant internal systems.
β’ Define and evaluate key success metrics for products.
β’ Utilize data to guide product strategy and inform decision-making processes.
β’ Develop innovative insurance products that fulfill customer requirements and foster business growth.
β’ Provide mentorship to others while remaining engaged with coding and architecture.
β’ Minimum of 5 years experience in product management, demonstrating a successful product launch history.
β’ Proven ability to deliver AI/ML or data-driven products in production settings.
β’ Strong grasp of machine learning principles, including Agentic Workflows, NLP, and LLMs.
β’ Experience with contemporary LLM platforms (such as Claude, Hugging Face, AWS Bedrock).
β’ Familiarity with agentic AI frameworks like LangGraph, LlamaIndex, or CrewAI.
β’ Experience managing human reviews of AI workflows using tools such as A2I.
β’ Excellent leadership and communication abilities, with experience in leading cross-functional teams.
β’ Familiarity with agile development practices.
β’ Analytical mindset with a data-driven approach to decision-making.
β’ Comprehensive understanding of product development processes from concept to launch.
β’ Exceptional problem-solving and project management capabilities.
β’ Applicants from the U.S. must possess authorization to work in the United States without the need for current or future employer-sponsored work visas.
β’ Preferred: Experience in insurance, fintech, or other regulated sectors.
β’ Preferred: Background in scaling AI/ML projects in a startup or rapidly growing environment.
β’ Preferred: Previous hands-on experience in engineering related to AI/ML or data science.
β’ Flexible remote work options and an asynchronous work culture.
β’ Unlimited paid time off (PTO) and fully compensated sick leave.
β’ Comprehensive health benefits, including medical, dental, and vision insurance, along with HSA and FSA choices.
β’ Additional financial protection and retirement perks, such as a 401(k), company-paid life insurance, and disability coverage.
β’ A significant level of ownership and autonomy, coupled with the chance to help shape a growing company.
β’ Opportunity to make a substantial impact while collaborating with a driven, high-performing team.
β’ Exposure to the challenges and opportunities within a rapidly expanding startup landscape.
β’ Eligibility for an equity incentive program.
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