ServiceNow · 4 hours ago
Principal Inbound Product Manager, AI Assistant (Core ML) - MoveWorks
1277 Terra Bella Ave, Mountain View, California , United States
Full-time
Onsite
Senior Level, Lead/Staff
$221K/yr - $387K/yr
7+ years expServiceNow is a global market leader in innovative AI-enhanced technology, helping organizations work smarter and faster. The Principal Inbound Product Manager will co-develop advanced agentic reasoning architectures and machine learning experiences for the AI Assistant, collaborating closely with cross-functional teams to deliver impactful products.
Agentic AIBusiness Process Automation (BPA)Cloud ManagementEnterprise SoftwareRobotic Process Automation (RPA)SaaS
Responsibilities
Co-lead the development of advanced reasoning architectures, ship model improvements, and design agentic experiences to improve daily usage of the AI Assistant
Partner closely with other PMs, ML, engineering, and UX to identify critical capabilities needed to ship delightful and performant AI-powered products
Translate ambiguous problems and user feedback into clear product specs and success metrics that guide engineering execution
Stay ahead of the curve on AI trends and research, turning cutting-edge developments into strategic product bets and differentiated features
Build alignment across cross-functional partners by clearly communicating product vision, roadmaps, and outcomes
Qualification
Required
End-to-end product management experience (7+ years) owning technically complex, high-impact products — ideally with building platforms for machine learning or generative AI products. Bonus points for having launched features that delivered measurable impact by solving real user problems with AI
Typically bring 15+ years of overall diverse technical experience
Deep familiarity with machine learning concepts and a track record of working closely with ML engineers, particularly in areas such as natural language understanding, semantic search, conversational AI, agentic workflows, and speech technologies
Understanding of real-time ML performance requirements (e.g., latency, accuracy, relevance) and the ability to make informed tradeoffs to optimize for user experience and business goals
Strong technical acumen, including previous experience as a software or ML engineer, or a technical degree (B.S. or M.S. in CS or related field), enabling you to dive deep on system architecture, APIs, and infrastructure-level decisions
Proven success shipping enterprise-grade products to large user bases — including developing rollout strategies, customer feedback loops, and go-to-market coordination for features that scale to hundreds of thousands or millions of users
Exceptional written and verbal communication skills — from clear and structured memos to compelling product narratives. Bonus points for communicating vision and outcomes through blog posts, talks, or webinars
Sharp analytical and problem-solving abilities, with a demonstrated ability to simplify complexity, make decisions amid ambiguity, and use available data to drive clarity and outcomes
Demonstrated strength in cross-functional collaboration — aligning engineering, design, data science, marketing, and customer teams around a shared product vision
A balanced approach to strategy and execution: able to think long-term while consistently delivering high-impact work in the near term. You lead with both empathy and urgency
Startup DNA — you thrive in fast-paced environments, are energized by ambiguity, and naturally bring structure, prioritization, and momentum to everything you touch
Benefits
Health plans
Flexible spending accounts
401(k) Plan with company match
ESPP
Matching donations
Flexible time away plan
Family leave programs
Company
ServiceNow
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions.
10001+ employees
H1B Sponsorship
ServiceNow has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (910)
2024 (876)
2023 (807)
2022 (840)
2021 (447)
2020 (439)
Funding
Current Stage
Public CompanyTotal Funding
$83.7MKey Investors
Sequoia CapitalJMI Equity
2022-12-09Post Ipo Equity
2012-07-29IPO
2012-03-20Private Equity· $10.98M
Leadership Team
William McDermott
Chairman and CEO
Pat Casey
Chief Technology Officer & EVP of DevOps
Recent News
San Gabriel Valley Tribune
2026-02-04
2026-02-04
2026-02-04
Company data provided by crunchbase