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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

product managementSaaSmarketing analyticsmedia measurementexperimentationMLAIMedia Mix ModelingMulti-Touch AttributionCausal Inference

Soft Skills

strategic ideationexecution ownershipcross-functional leadershipcommunicationcollaborationcustomer engagementproblem validationiterationtranslating complex conceptsplayer/coach mentality