Internal Product Manager 5

The Opportunity I am looking for an Innovative, AI first Product Manager who will partner with Adobe Marketing, Sales business users, as well as operations teams and identify key business challenges/requirements, build solutions, work with various project teams, and guide them to a successful completion to achieve the relevant business goals and KPIs. This product manager should have deep, hands-on experience with Agentic/generative AI, machine learning, and AI-powered Sales & Marketing tools and technologies. The ideal candidate will co-lead the planning, testing, and rollout of marketing and sales accelerators using agentic AI workflows, 3rd party sales tools and the Microsoft Dynamics CRM solutions. The role will also collaborate closely with data science, engineering, and UX teams to develop and deploy AI-powered technology solutions that deliver hyper-personalized, next-best-action customer experiences at scale. ATTENTION : This specific role will be working in MSFT Dynamics ecosystem with a primary focus on Marketing Operations and intelligent Sales experiences. Individuals with hands on technical knowledge around Dynamics and Sales AI will be preferred. What you'll do Partner with various end users and business teams to map current-state processes. Architect AI-powered future-state solutions on MSFT Dynamics or other third-party sales tools. Focus on automation and predictive intelligence to define the next best actions. Lead and facilitate AI adoption workshops and process re-engineering sessions with internal customers, translating AI capabilities into tangible business value and measurable outcomes. Define and champion an AI-first product vision. Collaborate with teams in analytics, architecture, development, and engineering. Deliver a roadmap anchored in machine learning models, generative AI features, and intelligent automation. Communicate and align internal customers and technical teams on the strategic direction for AI products. Outline the roadmap for delivering intelligent promotional and sales strategic experiences. Strategically align with other Product Managers on the delivery of interdependent solutions, shared data pipelines, and cross-platform model integrations. Lead the planning, documentation, and delivery of AI feature initiatives, including engineering standards that ensure timely responses, model evaluation frameworks, and ethical AI governance for Marketing and Sales use cases. Lead User Acceptance Testing (UAT) for AI features with business testers, and partner with Quality Engineers to define acceptance criteria that validate model outputs, AI accuracy thresholds, and bias/fairness requirements. Qualifications 6+ years of product management experience required, with a demonstrated focus on Sales AI/ML-powered products/solutions, intelligent automation, or data-driven platforms within large-scale global technology environments. Deep technical understanding of AI/ML capabilities within Marketing and Sales platforms, including generative AI, predictive analytics, natural language processing (NLP), and real-time decisioning on sales tools. Hands-on experience implementing MSFT Dynamics Sales Hub with AI-powered features including Copilot for Sales, predictive lead and opportunity scoring, and relationship intelligence at enterprise scale. Self-starter with intellectual curiosity about emerging AI technologies, who thrives in ambiguous, fast-moving environments and proactively identifies new AI use cases that drive competitive advantage. Outstanding skills in verbal and written communication. Capable of making complex AI concepts-model outputs, confidence scores, bias tradeoffs clear for technical and non-technical audiences, including executive leadership. Experience promoting AI product capabilities and supporting AI-based programs to customers, business partners, and internal users to encourage adoption and advance organizational AI literacy. Strong people skills, with a distinctive ability to align data scientists, ML engineers, business analysts, and go-to-market teams around a shared AI product vision - influencing without authority. Excellent conflict-resolution and facilitation skills, with the ability to navigate tensions between model accuracy, business timelines, data privacy requirements, and responsible AI standards. Bachelor's degree in Computer Science, Data Science, or a related technical field strongly preferred; equivalent work experience in AI/ML product management will be considered. Expected Pay Range Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $134,400 -- $253,900 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $175,300 - $253,900. State‑Specific Notices California Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email View email address on click.appcast.io or call View phone number on click.appcast.io. AI Use Guidelines for Interviews Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. #J-18808-Ljbffr Adobe Inc.