Product Manager II at Elsevier focusing on generative AI product development for nursing and health education. Leading strategic planning and execution of adaptive quizzing solutions.
About the role
- Principal Product Manager overseeing AI measurement capabilities for Adobe Mix Modeler products. Driving cross-functional execution and collaborating with engineering and design on advanced marketing analytics features.
Responsibilities
- Own strategy, roadmap, and execution for one or more functional areas within Adobe Mix Modeler; starting with the AI Measurement capabilities as a focus area
- Set near- and mid-term product vision within your domains, identifying high-impact opportunities where AI can improve insight generation, usability, and decision support
- Drive execution end to end by writing clear, detailed product requirement documents (PRDs/RPDs), user stories, and supporting documentation
- Work closely with globally distributed engineering and data science teams to define scope, evaluate trade-offs, review technical approaches, and ensure high-quality delivery
- Balance speed and rigor—shipping “good” solutions quickly, learning from customer feedback, and iterating rapidly is essential
- Define success metrics and evaluate post-launch performance to guide iteration and investment
- Research, prototype, and incubate new ML/AI capabilities using a 0→1 mentality, starting with slim, focused customer value
- Translate complex modeling approaches into usable product experiences tailored to analysts, data scientist and marketer personas
- Partner with data science teams to shape novel modeling capabilities and build associated requirements, interpret outputs, and ensure transparency, explainability, and customer trust
- Collaborate deeply with design partners to create intuitive workflows that make complex analytics understandable and actionable
- Engage directly with prospective and existing customers to understand marketing measurement workflows, validate problems, and test early solutions and alter product roadmap as needed
- Provide post-sale consulting support to help customers successfully adopt new features and realize value
- Travel periodically to support customer engagements, internal planning, and cross-functional collaboration as needed
- Act as a senior individual contributor and role model for how to operate effectively in a fast paced, AI driven product environment
- Raise the overall bar for product craft, requirement documentation quality, and collaboration within the team
Requirements
- 8+ years of product management experience building and delivering SaaS products
- Strong background in marketing analytics, marketing measurement, media measurement, experimentation; ad tech experience is highly preferred
- Hands-on experience researching, launching, and iterating on ML- or AI-powered product features
- Demonstrated ability to be a ‘player/coach’; balancing strategic ideation with execution-heavy ownership, including writing detailed requirements, producing mock-ups and driving delivery
- Experience driving globally distributed cross functional teams including leading morning/night calls as needed
- Proven success building 0→1 or incubated products with comfort operating in ambiguity with a strong bias toward action, learning, and iteration
- Familiarity with Adobe Experience Cloud products or large-scale enterprise SaaS environments a plus.
- Deep understanding of marketing measurement challenges and how insights are used by marketers, analysts, and executives
- Expertise with two or more of the following modeling concepts: Media Mix Modeling, Multi-Touch Attribution, Causal Inference, Incremental lift studies and experimentation
- Ability to translate complex data, models, and technical concepts into clear requirements and intuitive user experiences.
- Working knowledge of UX fundamentals, including the ability to create basic mockups, flows, or prototypes
- Strong cross-functional leadership skills, with experience partnering with engineer, marketing and pre/post-sales teams
Benefits
- Flexible work arrangements
- Professional development opportunities
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