At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description The Digital Product Manager is responsible for contributing to the definition, delivery, and ongoing evolution of innovative, AI‑enabled products within Allstate’s growing product portfolio. This role supports early‑stage product exploration and experimentation, helping translate emerging technologies—such as generative/agentic AI and advanced analytics—into meaningful customer and enterprise value. The Digital product Manager assists with establishing product vision, driving product discovery, shaping learning‑oriented roadmaps, and managing backlogs in areas where problem statements and solutions may be rapidly evolving. Successful Product Managers in this role are adept at identifying assumptions, designing experiments, and validating ideas through iterative discovery techniques. This role works closely with cross‑functional stakeholders and partners to ensure strong alignment, clear communication, and effective execution, while contributing to go‑to‑market and enablement strategies as AI‑driven concepts mature into scalable products Key Responsibilities • Authors, tests, and accepts stories, including those supporting early‑stage AI prototypes, experiments, and iterative proofs of concept. • Define and manage success metrics to evaluate product outcomes and learning objectives, using insights from experiments and pilots to inform broader product strategy • Contribute towards creation and evolution of product strategy for one or more products and experimental initiatives in our growing digital product portfolio, with a focus on emerging AI capabilities • Use customer feedback, detailed market analysis, and data gathering to provide recommendations on decisions about product direction, investment decisions, and prioritization. • Decompose complex, ambiguous problem spaces into manageable hypotheses and work items by creating, refining, and prioritizing a product backlog for the Product Team • Ensure timely stakeholder feedback across iterative development and experimentation cycles. • Represent the voice of the customer by engaging with current and potential users to understand needs, behaviors, and opportunities—particularly as new AI‑driven experiences are explored. • Lead and participate in discovery and test‑and‑learn activities, rapidly validating assumptions, evaluating AI‑enabled solutions, and adjusting product direction based on findings. Experience • 3 or more years of experience (Preferred) • 1 or more years of experience leading an AI-driven product (Preferred) Supervisory Responsibilities • This job does not have supervisory duties. Education & Experience (in lieu) • In lieu of the above education requirements, an equivalent combination of education and experience may be considered. Skills Artificial Intelligence (AI), Business Case Analyses, Customer Experience Management, Data Analytics, Digital Products, Product Management, Product Roadmapping, Product Strategies, Systems Thinking, Waterfall Model Compensation Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Role Description As Technical Product Owner at CYPHER Learning, you will serve as the connective layer between product strategy and engineering execution, ensuring that what we build is clearly defined, prioritized, and aligned to business impact. You will own the “what” and “why” by translating product vision and stakeholder needs into well-structured, actionable requirements that drive efficient and predictable delivery. You will partner closely with engineering, design, and business stakeholders to refine and prioritize work, balancing new feature development with technical debt. This role requires strong technical acumen and judgment, enabling you to challenge assumptions, anticipate dependencies, and ensure solutions are both practical and forward-looking. While your primary focus is on defining outcomes and enabling execution, you will also support delivery execution by facilitating key agile workflows and helping remove blockers, ensuring teams operate with clarity, accountability, and sustained momentum. This includes applying agile practices in a pragmatic way that prioritizes outcomes over ceremony. Your ability to write precise acceptance criteria and manage competing priorities will directly impact the speed, quality, and reliability of our product delivery. What You Will Do - Translate product strategy and stakeholder needs into clear, actionable user stories, technically viable solutions, and precise, testable acceptance criteria with a clear definition of “done.” - Partner closely with Engineering to establish architectural strategy and technical trade-offs. - Prioritize and sequence work based on business value, customer impact, technical feasibility, and platform health, balancing feature delivery with technical debt and defect resolution. - Ensure alignment between product intent and engineering execution by clearly communicating priorities, context, and expected outcomes to the development team. - Partner with engineering and cross-functional stakeholders to evaluate tradeoffs, anticipate dependencies, and drive informed prioritization decisions. - Identify and proactively address risks, dependencies, and blockers that may impact delivery timelines or product outcomes. - Provide clear visibility into progress, priorities, and delivery expectations using practical, outcome-focused metrics (e.g., cycle time, throughput, delivery predictability). - Support coordination across teams working toward shared initiatives, ensuring alignment on priorities, sequencing, and dependencies. - Facilitate key agile workflows (e.g., refinement, sprint planning, standups) as needed to maintain delivery momentum and team alignment, without over-indexing on ceremony. - Reinforce a high-performing, agile environment by promoting clarity, accountability, and disciplined execution, using process as a tool to improve outcomes rather than an end in itself. - Contribute to continuous improvement of delivery practices, helping teams operate efficiently while minimizing unnecessary process overhead. - All other duties as assigned. Qualifications - Bachelor’s degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience required. - 5–8+ years of experience operating in agile product environments, with demonstrated ownership of requirement building and delivery outcomes required. - Strong technical acumen with the ability to engage in discussions on system architecture, APIs, data structures, and integrations (including AI-driven capabilities), enabling effective collaboration with engineering teams required. - Proven ability to translate product strategy and stakeholder needs into well-defined user stories and precise, testable acceptance criteria that drive efficient execution and high-quality delivery required. - Experience working with cross-functional teams (engineering, product, design, and business stakeholders) to align priorities, clarify requirements, and drive execution. - Proficiency with agile delivery tools (e.g., Jira, Confluence, or similar), with the ability to structure and manage work in a way that supports transparency and efficiency required. - Experience supporting agile execution (e.g., facilitating key workflows, coordinating delivery) is preferred. - Strong problem-solving and judgment, with the ability to navigate complex, ambiguous situations and drive clear, actionable decisions that support delivery and business outcomes. - Demonstrated ability to operate effectively in dynamic environments, adapting priorities, managing tradeoffs, and maintaining momentum across evolving requirements and constraints. - Excellent communication skills, with the ability to translate complex technical concepts into clear priorities, requirements, and decisions for both technical and non-technical stakeholders. - Product-minded and naturally curious, with a focus on continuous improvement, evolving technologies, and delivering better outcomes for customers and the business. - Experience in SaaS, Learning & Development (L&D), EdTech, or corporate training environments is a plus. Our Values - Curiosity: Continues learning to stay agile and innovative. - Connection: Embracing and celebrating our differences. - Empowerment: Rewarding positive people-centric behaviors and decisions. - Potential: Challenging the status quo and pushing for what is possible. - Impact: Making a positive impact for our clients and communities around the world. Equal Employment Opportunity At CYPHER Learning, we believe diversity is essential to innovation and progress. We are committed to creating a workplace where individuals of all backgrounds, identities, and experiences are respected, included, and empowered to thrive. Our culture is built on connection, curiosity, empowerment, potential, and impact—and we know that these values are only fully realized when everyone has a seat at the table. CYPHER Learning is proud to be an Equal Opportunity Employer. We make all employment decisions based on merit, qualifications, and business needs—without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, genetic information, or any other protected status under applicable law. As a global, remote-first company, we embrace flexibility and accessibility in every aspect of how we work. If you require a reasonable accommodation during the application or interview process, please contact our People team at peopleteam@cypherlearning.com. We are committed to providing an inclusive and equitable experience for every candidate.

About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. About the Role Did you know that consumers lost over $1 trillion to scams in 2025 alone? You can play a part in helping make society safer and keeping the criminals at bay. LexisNexis Risk Solutions is seeking a Senior Product Manager to join our Global Team, who would focus on growing our fraud analytics proposition, helping us fulfil our mission to provide essential insights to advance and protect people, industry and society. You will act as a Product Owner, working in a dynamic team. Not only will you be working on exciting projects and with cutting edge technologies, but you will also be surrounded by a team of like-minded professionals from whom you can learn and grow. Ideal candidate can be remote in the US, working EST hours preferred. Responsibilities - Customer discovery, product delivery and development lifecycle: understand customer needs, experiment and collaborate to find answers to customer problems, define and prioritize incremental value, lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development teams, data science, fellow product managers and wider organization - Design and own product suite strategy and define it through collaboration and analysis of the right market, customer and business insights - Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction - Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support, Professional Services) to gather and assess product needs in the marketplace, manage customer feedback providing input and expertise to the marketing and other customer materials - Due to the global nature of the role flexible working hours will be required (split between UK and US working hours) Requirements - A passionate problem solver focused on customer needs with a Product Management and/or Product Owner experience - Experience with managing analytics products within the fraud space is essential - Domain knowledge in fraud prevention, statistical modelling and AI/machine learning is a must - Ability to understand and analyze complex data in association with machine learning and AI algorithms - Committed to delivering high quality to the users, keeping the customers at heart of every product decision - Great organizational and prioritization skills and attention to details with the ability to make decisions under pressure - Excellent verbal and written communication skills and ability to connect and communicate with a wide range of stakeholders at various levels of seniority - Understanding of Agile methodologies and frameworks, for example Scrum and Kanban, is nice to have U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $104,900 - $174,700. Base Pay Range for IL is $110,100 - $183,500. Base Pay Range for Chicago, IL is $115,400 - $192,200. Base Pay Range for MD is $110,100 - $183,500. Base Pay Range for NY is $115,400 - $192,200. Base Pay Range for New York City is $125,900 - $209,700. Base Pay Range for Rochester, NY is $104,900 - $174,700. Base Pay Range for OH is $99,700 - $166,000. Base Pay Range for NJ is $118,349- $189,051. This job is eligible for an annual incentive bonus. Application deadline is 06/01/2026. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. About the Role Did you know that consumers lost over $1 trillion to scams in 2025 alone? You can play a part in helping make society safer and keeping the criminals at bay. LexisNexis Risk Solutions is seeking a Senior Product Manager to join our Global Team, who would focus on growing our fraud analytics proposition, helping us fulfil our mission to provide essential insights to advance and protect people, industry and society. You will act as a Product Owner, working in a dynamic team. Not only will you be working on exciting projects and with cutting edge technologies, but you will also be surrounded by a team of like-minded professionals from whom you can learn and grow. Ideal candidate can be remote in the US, working EST hours preferred. Responsibilities - Customer discovery, product delivery and development lifecycle: understand customer needs, experiment and collaborate to find answers to customer problems, define and prioritize incremental value, lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development teams, data science, fellow product managers and wider organization - Design and own product suite strategy and define it through collaboration and analysis of the right market, customer and business insights - Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction - Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support, Professional Services) to gather and assess product needs in the marketplace, manage customer feedback providing input and expertise to the marketing and other customer materials - Due to the global nature of the role flexible working hours will be required (split between UK and US working hours) Requirements - A passionate problem solver focused on customer needs with a Product Management and/or Product Owner experience - Experience with managing analytics products within the fraud space is essential - Domain knowledge in fraud prevention, statistical modelling and AI/machine learning is a must - Ability to understand and analyze complex data in association with machine learning and AI algorithms - Committed to delivering high quality to the users, keeping the customers at heart of every product decision - Great organizational and prioritization skills and attention to details with the ability to make decisions under pressure - Excellent verbal and written communication skills and ability to connect and communicate with a wide range of stakeholders at various levels of seniority - Understanding of Agile methodologies and frameworks, for example Scrum and Kanban, is nice to have U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $104,900 - $174,700. Base Pay Range for IL is $110,100 - $183,500. Base Pay Range for Chicago, IL is $115,400 - $192,200. Base Pay Range for MD is $110,100 - $183,500. Base Pay Range for NY is $115,400 - $192,200. Base Pay Range for New York City is $125,900 - $209,700. Base Pay Range for Rochester, NY is $104,900 - $174,700. Base Pay Range for OH is $99,700 - $166,000. Base Pay Range for NJ is $118,349- $189,051. This job is eligible for an annual incentive bonus. Application deadline is 06/01/2026. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.