Sr. Product Operations Manager

Applied Systems is seeking a Senior Product Operations Manager to partner with a Product leader on high-priority business challenges and turn ambiguous product problems into data-informed decisions. The role drives cross-functional outcomes across the product lifecycle, aligns teams on metrics and insights, and develops product operations practices while supporting AI adoption.

Responsibilities:

• Serve as a strategic thought partner to an assigned Product leader and team, tackling their highest-priority business challenges and ambiguous product problems
• Drive cross-functional outcomes across the product development lifecycle, from Voice of the Market discovery and roadmap planning to go-to-market and post-launch success
• Align stakeholders on success metrics and ensure product telemetry and instrumentation deliver the KPIs and insights teams need to understand adoption and business impact
• Synthesize data, customer input, and stakeholder perspectives into clear narratives and recommendations that leaders can act on quickly
• Use AI tools to accelerate research, analysis, and synthesis, and help product teams adopt AI in how they work
• Define and standardize product operations best practices, and mentor and coach teammates and Product Management teams with training materials, templates, and documentation

Requirements:

• 8+ years of combined experience across product operations, business operations, business strategy, product management, and/or management consulting
• Proven ability to execute on a global scale, leading multiple concurrent large-scale programs and/or launching significant new products
• Exceptional leadership, communication, and strategic planning skills, with a track record of influencing cross-functional leaders without direct authority
• Experience tackling cross-functional business problems end to end, from framing the question to driving a decision, and thriving in ambiguity
• Hands-on, everyday AI fluency, with sound judgment on where AI adds value, plus strong analytics and data-driven storytelling skills
• Familiarity with data visualization tools such as Tableau, Google Analytics, or Looker
• Working knowledge of Pendo, JPD, Power BI, and Jira