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Salary
$221k – $387k per year
Location
In office (New York)
Seniority
Staff · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
ServiceNow is a leading cloud-based enterprise platform that connects data, workflows, and artificial intelligence to automate business operations. Originally focused on IT service management, the platform now streamlines processes across human resources, customer service, security, and supply chain management within a single digital ecosystem. Through its built-in low-code tools and AI capabilities, it helps global organizations optimize workforce productivity, eliminate manual tasks, and scale modern enterprise workflows.

Company Description

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.

Job Description

About the role

We are hiring a Director of Product Management to lead the product vision and execution for a transformational frontier AI agent currently in MVP state. This role brings togethercutting-edgeautonomous agent capabilities with enterprise governance, positioning you at the intersection of frontier AI and real-world workflow impact.

You'llown the product direction for long-running, self-evolving autonomous agents designed for enterprise knowledge workers. The platform connects natively to ServiceNow's AI infrastructure, bringing governance, auditability, and workflow intelligence to everyagentaction- enabling enterprises to deploy AI at scale with the controls theyactually need.

This is a 0-1 product leadership role on a team thatoperateslike a startup insideenterprise.You'llbe the builder who prototypes the next capability beforeit'son the roadmap, pulls the product forward by showingwhat'spossible, and translates frontier AI research into platform primitives that drive consumption and adoption across the AI portfolio.

Why this role matters

Autonomous agents are moving from research to production. This role puts you at the center of that shift. You'll define how enterprises will harness agentic AI safely, govern it intelligently, and extract real value from it. Your product decisions will shape how the next generation of autonomous work gets done across large organizations.

The ImpactYou’llMake

Operate as an AI-native builder, not yesterday's PM

  • 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, andvalidatefeasibility 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.

Own the product surface area and platform primitives

  • 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 beleveragedacross this product and other ServiceNow AI offerings.
  • Partner with frontier AI teams and the open-source ecosystem to bringstate-of-the-artcapabilities into enterprise production.

Own adoption and measurable outcomes at scale

  • 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.

Qualifications

Builder with hands-on technical depth

  • Youdon'tjust define products. You build, test, and iterate.
  • 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 whatyou'veshipped recently and how deepyou'vegone 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.

Agentic AIexpertiseand frontier AI fluency

  • 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,productizablecapabilities without waiting for consensus.
  • You follow the agentic AI community, contributetoorbuild onopen-source projects, and stay connected to emerging patterns.

Enterprise product leadership at scale

  • Proven product management experience (minimum 8years), with hands-on involvement in shipping complex products in ambiguous, fast-moving environments.
  • Track recordof shipping 0→1 and scaling 1→N products.You'vebrought something tomarketthatdidn'texist before and then scaled it.
  • Ability tooperateacross 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.

Systems thinker and platform builder

  • You thinkinplatforms, 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 ofwhat'spossible, one that VPs and executive teams want to be part of.

Nice to have

  • Experience working on or shipping multi-agent systems, agentic orchestration platforms, or agent deployment frameworks.
  • Hands-on involvement withLLMfine-tuning, prompt engineering at scale, or domain-specific model development.
  • Track recordof working with open-source communities, contributingtoorbuilding onopen 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 integratingcutting-edgemodels into production systems.

For positions in this location, we offer a base pay of $221,200 - $387,100, 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.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location.

Learn more here

. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Employee Type: RegularRegion: AMS - North America and CanadaWork Persona: Flexible or Remote
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