Sr Product Mgr I, Innovation

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. We are looking for a Senior Product Manager to join an Innovation Squad and lead discovery, prioritization, and delivery of internal productivity solutions.

Location: US Based (Preferred) with flexibility to work across time zones.

Responsibilities

• Partner with internal teams to deeply understand workflows, bottlenecks, and operational pain points, then translate them into validated product opportunities with clear ROI potential

• Create and manage a prioritized roadmap of high-impact productivity use cases, balancing implementation speed, technical feasibility, organizational risk, and scalability across functions

• Define success metrics and reporting for each solution, including adoption rates, time savings, quality improvements, and employee satisfaction, using data to drive rapid iteration

• Lead end-to-end product delivery in a fast-moving agile environment, partnering daily with engineers and operational stakeholders

• Help define productivity-first product development by applying modern discovery methods, rapid prototyping, and evidence-based decision making

• Scale impact beyond your squad by documenting patterns, reusable components, and learnings, partnering with enterprise teams to make solutions discoverable and adoptable organization-wide

Requirements

• 6+ years of 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

• Strong 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

• Strong 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

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