Senior Staff Product Manager, Conversational AI

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have both Benefits and Pay. But we could combine pay and benefits into Benefits section. However they said "never create Pay/Schedule/Benefits sections unless the posting actually states them." Pay is stated, Benefits is stated. So we could have both. But to avoid many thin sections, maybe combine into Benefits (including pay). But they gave Pay as an example heading; we could still use Benefits only. I'd combine pay and benefits into Benefits section to keep fewer sections. Thus sections: About the role (company description + job description overview), Responsibilities (what you get to do), Requirements (qualifications), Benefits (pay + benefits). Use

• for lists. Now craft HTML. About the role: combine company description paragraph and job description paragraph (maybe two

  ). Responsibilities: list each bullet from "What You Get To Do In This Role". Let's extract bullet points: - Own the end-to-end product vision, strategy, and roadmap for AI-native conversational experiences—from conception through market success - Take initiative to identify strategic opportunities, define product direction, and make bold decisions with conviction - Drive execution across complex multi-team challenges (AI/ML, Engineering, Design, Data, GTM, Customer Success, Security) - Navigate ambiguous, high-impact product decisions requiring cross-functional alignment and creative trade-offs - Establish yourself as the recognized expert on conversational AI strategy—internally with leadership and partners, externally with customers. - Represent product strategy to executive leadership, and key accounts with clarity and confidence - Maintain deep knowledge of the AI market—emerging models, techniques, competitive moves, and industry trends - Identify strategic inflection points and market opportunities before they become obvious - Understand enterprise customer workflows deeply; connect their pain points to conversational AI solutions - Turn customer feedback into strategic insights and roadmap priorities - Define multi-year strategy aligned with platform vision while remaining agile to market signals - Communicate complex problems into clear requirements; inspire teams around shared vision - Influence without direct authority; build alignment through leadership credibility and demonstrated progress - Partner with Design, Research and Engineering teams to deliver effective end-to-end conversational customer experiences - Define success metrics, telemetry requirements, and drive continuous optimization - Connect AI innovation to workflow automation, governance, and enterprise operations - Synthesize insights across AI research, market trends, and customer needs - Anticipate where the market is heading; position ServiceNow to lead Check if any duplicates; seems fine. Qualifications bullet points: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 12+ years of software product management experience - Proven ability to own and drive product visions from conception to market success - Demonstrated expertise building and scaling conversational AI, agentic, or LLM-powered products at enterprise scale - Strong track record navigating complex cross-functional challenges and aligning multiple teams - Established as a recognized expert/thought leader in conversational AI or adjacent AI domains - Deep technical acumen; comfort engaging deeply with AI/ML engineers on architecture and feasibility - Strategic thinking ability; skill at connecting dots across domains and anticipating market evolution - Experience selling to and supporting enterprise customers through buying, deployment, and adoption - Exceptional communication and influence skills; ability to inspire teams and convince stakeholders without direct authority - Self-directed and entrepreneurial; comfortable taking initiative in ambiguous situations - Deep knowledge of current AI landscape—LLMs, RAG, multi-agent systems, agentic AI - Experience at AI-native companies or during transformational AI moments - Background in workflow automation, BPM, or enterprise operations software- nice to have - Familiarity with ServiceNow platform, customers, or enterprise software ecosystem- nice to have Note: The last two have "- nice to have". We keep them as is. Benefits/Pay: combine. Paragraph: "For positions in this location, we offer a base pay of $190,900 - $334,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location." We'll put that in a

  . Now produce HTML:

  About the role

  It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.

  We are seeking an exceptional Senior Staff Product Manager to own and drive the strategic vision and execution of AI-native conversational experiences across the ServiceNow platform. In this role, you will take full ownership of product direction, navigate complex cross-functional challenges, and establish yourself as the trusted expert—internally and externally—for conversational AI strategy. This is an ownership role for a self-directed leader who thrives in ambiguity, drives alignment across silos, and earns credibility as a thought leader.

  Responsibilities

  • Own the end-to-end product vision, strategy, and roadmap for AI-native conversational experiences—from conception through market success
  • Take initiative to identify strategic opportunities, define product direction, and make bold decisions with conviction
  • Drive execution across complex multi-team challenges (AI/ML, Engineering, Design, Data, GTM, Customer Success, Security)
  • Navigate ambiguous, high-impact product decisions requiring cross-functional alignment and creative trade-offs
  • Establish yourself as the recognized expert on conversational AI strategy—internally with leadership and partners, externally with customers.
  • Represent product strategy to executive leadership, and key accounts with clarity and confidence
  • Maintain deep knowledge of the AI market—emerging models, techniques, competitive moves, and industry trends
  • Identify strategic inflection points and market opportunities before they become obvious
  • Understand enterprise customer workflows deeply; connect their pain points to conversational AI solutions
  • Turn customer feedback into strategic insights and roadmap priorities
  • Define multi-year strategy aligned with platform vision while remaining agile to market signals
  • Communicate complex problems into clear requirements; inspire teams around shared vision
  • Influence without direct authority; build alignment through leadership credibility and demonstrated progress
  • Partner with Design, Research and Engineering teams to deliver effective end-to-end conversational customer experiences
  • Define success metrics, telemetry requirements, and drive continuous optimization
  • Connect AI innovation to workflow automation, governance, and enterprise operations
  • Synthesize insights across AI research, market trends, and customer needs