Senior Product Manager 1 - Strategic Innovation Are you energized by building AI-first solutions that transform how thousands of colleagues work?Do you thrive on partnering with engineers to ship fast, learn faster, and turn complex workflows into measurable productivity gains? About the team, Elsevier is launching Embedded Innovation Squads to help teams across the organization benefit from GenAI and automation in practical, scalable, and well-supported ways. The program embeds small, dedicated, cross-functional teams directly within business functions to identify high-value productivity opportunities and deliver solutions that improve operational efficiency, decision quality, and speed. About the role, we are looking for a Strategic thinking Senior Product Manager to join an Innovation Squad and lead discovery, prioritization, and delivery of internal productivity solutions. Requirements \\+ Possess current and extensive product management experience delivering software solutions in an agile environment, preferably with internal or operational focus \\+ Hands-on fluency with generative AI tools and modern automation concepts with ability to stay current on technical and product advances relevant to workplace productivity \\+ Experience building or managing AI-enabled workflow tools, process automation, and productivity systems, especially in enterprise environments \\+ Demonstrated ability to lead workflow discovery, define productivity problems clearly, and convert operational ambiguity into prioritized roadmaps and shipped solutions \\+ Extensive partnership skills with engineering teams and stakeholders, including comfort making pragmatic build/buy/partner tradeoffs \\+ Experience defining operational metrics and using workflow data to drive product decisions and iteration cycles \\+ Proven success delivering complex, cross-functional productivity initiatives that deliver measurable efficiency gains \\+ Possess current and extensive discovery expertise. Skilled at framing problems, mapping workflows, quantifying impact, and validating solutions rapidly with stakeholders; comfortable balancing speed and rigor. \\+ Ability to work effectively across matrixed organizations and engage productively with different levels of seniority Responsibilities \\+ Partnering with internal teams to deeply understand workflows, bottlenecks, and operational pain points, then translate them into validated product opportunities with clear ROI potential \\+ Creating and managing a prioritized roadmap of high-impact productivity use cases, balancing implementation speed, technical feasibility, organizational risk, and scalability across functions \\+ Defining success metrics and reporting for each solution, including adoption rates, time savings, quality improvements, and employee satisfaction, using data to drive rapid iteration \\+ Leading end-to-end product delivery in a fast-moving agile environment, partnering daily with engineers and operational stakeholders \\+ Helping to define productivity-first product development by applying modern discovery methods, rapid prototyping, and evidence-based decision making \\+ Scaling impact beyond your squad by documenting patterns, reusable components, and learnings, partnering with enterprise teams to make solutions discoverable and adoptable organization-wide \\+ Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work. They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content. These platforms often serve as essential resources for software developers seeking to stay updated with the latest scientific advancements. Primary Location Base Pay Range: Home based-New York $115,400 - $192,200. If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $118,349 - $189,051.U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. 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. 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The role requires current and extensive product management experience in delivering software solutions within an agile environment, with a preference for internal or operational focus. Candidates must possess hands-on fluency with generative AI tools and modern automation concepts, with the ability to stay current on relevant technical and product advances. Experience in building or managing AI-enabled workflow tools, process automation, and productivity systems, particularly in enterprise settings, is necessary. Demonstrated ability to lead workflow discovery, clearly define productivity problems, and convert operational ambiguity into prioritized roadmaps and delivered solutions is essential. Extensive partnership skills with engineering teams and stakeholders, including comfort with pragmatic build/buy/partner tradeoffs, are also required. Experience in defining operational metrics and utilizing workflow data to drive product decisions and iteration cycles is expected.