Artificial Intelligence β’ Deep Learning β’ Machine Learning β’ Insurance β’ Insurtech
December 3
πΊπΈ United States β Remote
π΅ $130k - $150k / year
β° Full Time
π‘ Mid-level
π Senior
β Product Manager
Artificial Intelligence β’ Deep Learning β’ Machine Learning β’ Insurance β’ Insurtech
β’ At Lazarus, we build foundation models to help people solve the world's toughest problems. β’ Enterprise and government clients use our APIs to power products and workflows that keep humans focused on what we do best. β’ As a Product Manager, you'll be responsible for leading the product lifecycle from ideation to launch and beyond. β’ You'll collaborate closely with cross-functional teams to ensure our products align with market demands. β’ Our customers work in critical aspects of National Security. We seek a driven individual passionate about technology for safety.
β’ Bachelor's degree in business, engineering, computer science, or related field β’ 3+ years of experience in product management in a technology, in LLM and related fields β’ Strong understanding of product lifecycle and market research β’ Excellent problem-solving skills and the ability to make data-driven decisions β’ Exceptional communication and interpersonal skills, with the ability to collaborate effectively across teams β’ Proven ability to manage multiple projects simultaneously and meet deadlines β’ Experience with product management tools and platforms β’ US Citizenship required due to government contracts β’ Self starter able to act independently β’ The ability to pass a hiring process that will undergo additional security screening and scrutiny
β’ Comprehensive benefits package, including health, dental, and vision insurance, as well as retirement savings plans β’ Flexible working from home arrangements β’ Opportunities for growth and professional development β’ A collaborative and supportive company culture β’ Access to cutting-edge technology and resources for research and development β’ Compensation (commensurate with experience): $130,000 - $150,000 (base salary) + bonus + equity
Apply NowDecember 3
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