• Own product strategy and roadmap across the full portfolio • Prioritize investments for highest impact • Build the product team from scratch • Drive execution speed across dev teams • Embed growth and monetization into the product • Lead major launches from pipeline to market • Establish product infrastructure for analytics and feedback

Description and Requirements The Team You Will Join Join the nation's largest non-medical carrier of group insurance, where your work will impact over 55,000 customers and cover more than 50 million employees and family members. As part of MetLife's Group Benefits team, you'll deliver innovative benefits solutions - life, disability, dental, vision, and voluntary benefits - tailored to today's employers and workforces. Collaborate with customers, brokers, and partners to expand our offerings and reimagine digital experiences. Join us and be part of an organization committed to supporting customers when they need us most. The Opportunity The Product Manager, Production Support & AI-Driven Delivery is accountable for end-to-end product performance in production, ensuring stability, scalability, and continuous improvement of AI-enabled solutions across Disability & Leave (D&L). This role goes beyond traditional product management-owning live product outcomes, production health, and AI-enabled evolution. You are responsible for ensuring solutions not only launch successfully, but operate reliably, adapt intelligently, and improve continuously through AI-driven insights and feedback loops. You act as the bridge between product, operations, and engineering, using deep domain expertise and AI capabilities to prioritize, diagnose, and resolve production issues at speed while shaping forward-looking enhancements. Key Responsibilities - Own end-to-end production health and performance for AI-enabled claims products and workflows. - Monitor system performance, SLAs, and user experience across claim journeys. - Lead production issue triage, resolution, and root cause analysis. - Partner with engineering, operations, and stakeholders to prioritize work and ensure rapid issue resolution. - Drive continuous improvement by eliminating recurring defects through systemic fixes and process enhancements. - Oversee FINEOS/Catalyst integration and optimization, collaborating with FINEOS to enhance performance, resolve issues, and support scalable AI capabilities. Required Qualifications - 5+ years in product management, production support, or operations leadership within Group Benefits, Disability, or similar domains - Strong knowledge of Disability & Leave (STD, LTD, FMLA, PFML, ADAAA) processes and systems - Proven experience managing production incidents, triage, and root cause analysis - Experience working with AI-enabled solutions in production or near-production environments - Ability to make high-impact decisions under ambiguity at speed - Strong analytical and problem-solving skills with a data-driven mindset Preferred Qualifications - Strong leadership skills The expected salary range for this position is $102,000 - $171,100 . This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms. Benefits We Offer Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World's 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us! MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics"). If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liabilities.

Title: Product Manager-Sr. Specialist Location: United States Job Description: We made history and now we work to transform the future - for our customers, our communities and our families. You''ll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Ford is looking for an experienced Sr. Product Manager to shape the strategy, definition, and delivery of actionable vehicle health insights for Ford and Lincoln connected vehicles. In this role, you will bridge the gap between technical data analysis, advanced ML models, and tangible business value. You will own key areas of the product lifecycle from identifying customer pain points to defining product strategy and partnering with cross-functional teams to deliver impactful intelligence. The ideal candidate will be highly resilient, data-driven, and obsessed with product quality, understanding that trust is paramount when delivering vehicle health alerts. You will combine first-principles thinking, statistical analysis, and deep customer empathy to transform raw vehicle signals into proactive alerts that enhance vehicle uptime and drive revenue opportunities across our retail and commercial fleet businesses. This position is hybrid (onsite four days per week) for candidates who are in commuting distance to a Ford hub location or remote for non-local candidates. #LI-Hybrid #LI-Remote You''ll have... - Bachelor''s degree in Computer Science, Engineering, Data Science, or equivalent practical experience. - 8+ years of experience in technical product management, with a track record of launching and scaling data-intensive or AI/ML-driven products. - Experience writing detailed product requirement documents (PRDs) for complex, data-heavy features. - Demonstrated fluency in data analytics and data science principles. You don''t need to build the models, but you must understand how they are built, validated, and what can go wrong. - Hands-on experience with data exploration and validation; proficiency with SQL is essential. - Proven ability to define and manage a portfolio of product quality and business metrics. You can not only define Precision/Recall but can explain the business impact of choosing one over the other. Even better, you may have... - A deep passion for or direct experience in the vehicle architecture, Telemetry and Fleet Management. - Ability to drive strategic adoption of AI-driven tools, building product roadmaps that prioritize practical, high-value outcomes and experiences over technology. You may not check every box, or your experience may look a little different from what we''ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: - Immediate medical, dental, vision and prescription drug coverage - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more - Vehicle discount program for employees and family members and management leases - Tuition assistance - Established and active employee resource groups - Paid time off for individual and team community service - A generous schedule of paid holidays, including the week between Christmas and New Year's Day - Paid time off and the option to purchase additional vacation time. This position is leadership level 6 and ranges from $132,800-$250,800. Final determination of salary grade will be based on candidate''s skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: https://fordcareers.co/LL6 Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. This position is hybrid (onsite four days per week) for candidates who are in commuting distance to a Ford hub location or remote for non-local candidates. #LI-Hybrid #LI-Remote #LI-SC3 What you''ll do... - Own the end-to-end product strategy and lifecycle for vehicle health insights, from identifying high-impact opportunities to ensuring successful delivery and adoption. - Define and implement robust validation approaches, creating statistical benchmarks to rigorously measure and prove the accuracy of our machine learning models. - Establish critical product quality metrics and confidence thresholds to determine when vehicle health insights are ready for production release to customers, dealers, or fleet managers. - Partner closely with Data Science and Engineering teams, translating complex business needs into pitches, detailed product requirement documents (PRDs) and technical roadmaps. - Articulate the value, capabilities, and limitations of our predictive models to business leaders, non-technical stakeholders, and external partners. Familiarity with AI, emerging technologies and how to apply them. - Drive all data privacy approvals for new features by collaborating with Engineering and the Office of the General Counsel (OGC) to ensure data pipelines adhere strictly to legal requirements. - Make informed prioritization decisions based on data analytics, customer feedback, and business impact to maximize vehicle uptime and improve the customer experience. - Manage weekly, and monthly product/business reporting What you''ll do... - Own the end-to-end product strategy and lifecycle for vehicle health insights, from identifying high-impact opportunities to ensuring successful delivery and adoption. - Define and implement robust validation approaches, creating statistical benchmarks to rigorously measure and prove the accuracy of our machine learning models. - Establish critical product quality metrics and confidence thresholds to determine when vehicle health insights are ready for production release to customers, dealers, or fleet managers. - Partner closely with Data Science and Engineering teams, translating complex business needs into pitches, detailed product requirement documents (PRDs) and technical roadmaps. - Articulate the value, capabilities, and limitations of our predictive models to business leaders, non-technical stakeholders, and external partners. Familiarity with AI, emerging technologies and how to apply them. - Drive all data privacy approvals for new features by collaborating with Engineering and the Office of the General Counsel (OGC) to ensure data pipelines adhere strictly to legal requirements. - Make informed prioritization decisions based on data analytics, customer feedback, and business impact to maximize vehicle uptime and improve the customer experience. - Manage weekly, and monthly product/business reporting

• Owning products that help teachers earn: mentoring, live events, retreats, courses, and the dashboard that ties them together. • Grow the library: build systems to scale the amount of high quality content coming into the platform. • Close the gaps: Understand where there are gaps between what our community is searching for and the content we currently have on the platform, and design strategies to fill them. • Building with AI: conceptualise and build working prototypes of products before they move to engineering. • Understand our teachers: spend time with them. Understand how they grow an audience, what they sell, and how we can help them earn more.