Senior AI Product Manager

The Sr Manager - AI Product Management owns the identification, prioritization, and successful adoption of AI-powered capabilities embedded into business operations. This role translates operational pain points into deployable AI solutions and ensures delivered automation produces measurable business outcomes. Working closely with AI engineers, data teams, and business stakeholders, the AI Product Manager defines use cases, manages delivery, and drives adoption of AI copilots and automated workflows powered by enterprise data platforms. The role focuses on applied AI — improving how work gets done — rather than research or model development. This role will report up into the VP of AI, Collaboration and Data's team. Partner with Operations, Sales, Finance, HR, Legal, Marketing, and IT leaders to identify high-impact opportunities where AI can reduce manual effort, improve decision quality, or accelerate workflows. Evaluate business processes for automation suitability — assessing volume, repeatability, decision complexity, and ROI potential — and maintain a prioritized backlog of AI opportunities across the organization. Lead discovery and scoping sessions with business stakeholders to translate operational pain points into clear product requirements: define use cases, success metrics, and acceptance criteria for AI copilots, agents, and automated workflows. Define user stories and requirements for AI-powered solutions — ensuring AI features integrate seamlessly into existing workflows rather than creating new tools employees must learn. Partner with AI engineers and data teams to design grounded, reliable AI experiences: specify when AI should assist vs. when humans must decide, define human-in-the-loop escalation points, and shape solution approaches that balance automation with appropriate oversight. Lead build/buy/partner evaluation for AI tooling and capabilities: assess SaaS vendor solutions, platform integrations, and custom-build trade-offs, and bring well-reasoned recommendations to engineering and leadership. Own rollout, adoption, and change management: design communication plans, user training, and onboarding experiences that build trust and encourage usage; measure adoption curves and behavioral change to ensure delivered solutions are actually used. Define acceptable use policies and decision thresholds for AI systems: determine when AI can auto-approve, auto-route, or auto-generate content vs. when human review is required — ensuring governance is practical and risk-appropriate for each use case. Work with Legal, Risk, Security, and Compliance teams to ensure AI solutions meet data usage, privacy, and regulatory requirements — translating governance constraints into product guardrails that protect the organization without blocking adoption. Own value realization: define success metrics (productivity gains, cycle time reduction, cost savings, manual work eliminated), build ROI dashboards in partnership with Data Analytics, monitor adoption and operational impact, and present value updates to leadership on a regular cadence. Track performance of deployed AI solutions: monitor accuracy, usefulness, user satisfaction, and business outcomes; identify improvement opportunities, gather feedback, and iterate on solutions to drive continuous improvement. Build a repeatable AI operating model: document lessons learned, standardize delivery practices, and identify expansion opportunities where proven AI patterns can be applied to new departments or workflows. This is a remote eligible position. Candidates who live within a 45 mile radius of Boston, MA; Detroit, MI; Denver, CO; and Mountain View, CA will be required to work hybrid (2 days per week) out of our Dyntrace office. Candidates are required to work EST hours for this position. What will help you succeed 5+ years of product management, operations transformation, or business systems experience — with a proven track record delivering workflow automation or enterprise software solutions that improved how teams work. Preferred Requirements: Deep understanding some or all corporate functions — Operations, Sales, Finance, HR, Legal, Marketing, or IT — including familiarity with their workflows, approval processes, pain points, and what constitutes a meaningful improvement in each context. Proven ability to translate business processes into technical requirements: decompose messy operational workflows into structured specs that engineers can build against. Strong facilitation and stakeholder communication skills: comfortable leading discovery sessions with senior business leaders, white-boarding process flows, and presenting solution proposals to non-technical audiences. Experience defining KPIs and measuring operational outcomes: not just feature delivery, but whether work actually gets done faster, with less effort, or with better quality as a result of the solution. Familiarity with enterprise platforms such as ServiceNow, Salesforce, NetSuite, Workday, or similar business systems where AI capabilities are embedded into existing workflows. Exposure to data platforms (Snowflake, data warehouses, analytics environments, or BI tools) and an understanding of how enterprise data flows support AI-powered automation. Working knowledge of generative AI capabilities: RAG-powered search, AI copilots, document intelligence, and agentic workflows — enough to evaluate vendor claims and spec realistic solutions. Experience managing change management and adoption initiatives: driving user training, measuring behavioral change, and ensuring delivered technology is actually adopted by teams. Track record running Agile delivery: sprint planning, backlog grooming, and cross-functional collaboration with engineering and data teams. Experience owning build/buy/partner decisions: evaluating SaaS vendors, platform integrations, and custom development trade-offs, and communicating recommendations to leadership. Familiarity with responsible AI principles: understanding data privacy constraints, defining acceptable use policies, and working with Legal and Compliance on governance frameworks. Why you will love being a Dynatracer A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly. Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research. A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries. An environment that fosters innovation, enables creative collaboration, and allows you to grow. A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals. A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team. A relocation team that is eager to help you start your journey to a new country, always there to support and by your side. Attractive compensation packages and stock purchase options with numerous benefits and advantages. Compensation and Rewards DOE, salary $175K - $220K, plus Health, Dental, Life, STD, LTD, 401K, PTO. Total compensation may vary depending on candidate experience/education and location. All your information will be kept confidential according to EEO guidelines. We offer competitive compensation, company-sponsored premium benefits, medical, dental, vacation/holidays, company matching 401(k) Plan, etc. Dynatrace is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities, age, sexual orientation, creed, disability status, veteran status, pregnancy, genetic status, or any other characteristic protected by law. If your disability makes it difficult for you to use this site, please contact View email address on click.appcast.io . Dynatrace participates in E-Verify, participant information in English and Spanish. Right to work information in English and Spanish. EEO is the Law . To be considered for this position, please upload your resume/CV. #J-18808-Ljbffr