ServiceNow · 3 weeks ago
Director, Product Manager- AI Agent Products
ServiceNow is an AI control tower for business reinvention, and they are seeking a Director of Product Management to lead the product vision and execution for an AI agent. This role involves defining the product's long-term vision, engaging with code, and ensuring the adoption and measurable outcomes of autonomous agents across enterprises.
Artificial Intelligence (AI)Enterprise SoftwareCloud ComputingLegalCyber SecurityInformation TechnologySaaSAgentic AIBusiness Process Automation (BPA)Cloud ManagementComplianceRobotic Process Automation (RPA)
Responsibilities
Actively prototype, experiment, and ship using modern agentic development tools as a core part of your job
Engage directly with code: review implementations, stand up demos, and validate feasibility alongside engineering
Use hands-on experimentation to de-risk product bets and accelerate time-to-market
Stay at the leading edge of agentic AI, autonomous agents, open-source frameworks, orchestration patterns, memory architectures, and translate that into concrete product capabilities
Define and drive the product's long-term vision: autonomous agents enterprises trust to do real work, from desktop execution to orchestrated workflows across systems
Architect the roadmap for agentic platform capabilities: orchestration, memory and context management, action execution, endpoint interaction, and secure agent governance
Translate emerging agent patterns into scalable platform primitives that can be leveraged across this product and other ServiceNow AI offerings
Partner with frontier AI teams and the open-source ecosystem to bring state-of-the-art capabilities into enterprise production
Define clear adoption paths and usage models for agentic capabilities across customer segments
Partner with go-to-market and outbound teams to ensure time-to-value and measurable impact
Establish metrics early. Task completion rates, success rates, latency, cost per action, and iterate rapidly against them
Engage with external ecosystem players and partners as needed to accelerate roadmap and adoption
Balance near-term customer deliverables with long-term platform differentiation and governance innovation
Qualification
Required
8-10+ years of product management experience, recent hands-on experience shipping agentic products in the last 12–18 months. Years of PM tenure matter far less than what you've shipped recently and how deep you've gone technically
Comfortable working in codebases, standing up prototypes, and challenging engineering decisions with technical credibility
Background as a developer is a strong plus; exceptional PMs with adjacent technical depth are a match
Strong understanding of modern AI systems and agent architectures: planning, memory, tool use, orchestration, multi-step reasoning
Deep familiarity with the frontier of agentic AI: open-source frameworks, agent loop patterns, LLM orchestration, and the fast-moving research being published today
Ability to translate fast-moving research into practical, productizable capabilities without waiting for consensus
You follow the agentic AI community, contribute to or build on open-source projects, and stay connected to emerging patterns
Proven product management experience (minimum 8 years), with hands-on involvement in shipping complex products in ambiguous, fast-moving environments
Track record of shipping 0→1 and scaling 1→N products. You've brought something to market that didn't exist before and then scaled it
Ability to operate across multiple teams: engineering, design, GTM, partners and create alignment without authority
Thrives in ambiguity, creates structure where none exists, and pulls products forward through clarity and credibility, not process
You think in platforms, not features. You see how pieces connect and can architect primitives that multiply value across multiple products and use cases
You influence by showing, not telling. You paint a compelling picture of what's possible, one that VPs and executive teams want to be part of
Preferred
Experience working on or shipping multi-agent systems, agentic orchestration platforms, or agent deployment frameworks
Hands-on involvement with LLM fine-tuning, prompt engineering at scale, or domain-specific model development
Track record of working with open-source communities, contributing to or building on open frameworks
Prior experience in enterprise workflow automation, RPA, or low-code/no-code platforms. Understanding the operational constraints enterprises face
Familiarity with governance, compliance, and auditability requirements for enterprise AI systems
Experience working with frontier AI providers or integrating cutting-edge models into production systems
Benefits
Equity (when applicable)
Variable/incentive compensation
Health plans
Flexible spending accounts
A 401(k) Plan with company match
ESPP
Matching donations
A 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.
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
10%
Represents job field similar to this job
Product Management
Engineering and Development
Customer Service and Support
Management and Executive
Accounting and Finance
Creatives and Design
Marketing
Sales
Human Resources
Legal and Compliance
Arts and Entertainment
Trends of Total Sponsorships
*2026 (308)
2025 (910)
2024 (876)
2023 (807)
2022 (840)
2021 (447)
2020 (439)
Funding
Current Stage
Public CompanyTotal Funding
$4.08BKey Investors
Sequoia CapitalJMI Equity
2026-04-17Post Ipo Debt· $4B
2022-12-09Post Ipo Equity
2012-07-29IPO
Recent News
Destination CRM
2026-08-13
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