Senior Manager, Partner Product Enablement & Advocacy

ServiceNow•Mountain View, CA

2d•$190,900 - $334,100•Hybrid

About The Position

This high-impact role sits at the intersection of product management, partner enablement, and customer advocacy within ServiceNow’s AI Product Management organization. The Senior Manager is the outbound voice of AI Product Management to the EmployeeWorks from ServiceNow partner ecosystem, equipping partners to position, demonstrate, implement, and sell products while bringing partner feedback back into product planning. The role advocates for partners as customers, closes feedback loops, and works to ensure the partner experience is strong. It also supports the GVP of AI Product Management in partner executive engagements and drafts executive communications on the GVP’s behalf. The position reports to the Chief of Staff to the GVP of AI Product Management, within the APEX organization. It is based in the San Francisco Bay Area, preferably at the Mountain View, California office, and follows a hybrid work model. The role owns outbound product management for strategic partners, including translating product strategy, roadmaps, releases, packaging, positioning, and use cases into partner-ready communications. It leads readiness and early-access activities, partner adoption for releases, and the creation and delivery of scalable enablement programs, training, demos, and supporting assets. It serves as an internal advocate for partner needs by gathering and prioritizing feedback, managing escalations, and monitoring partner satisfaction. The Senior Manager also coordinates across Product, Engineering, GTM, Partnerships, Customer Success, Professional Services, and other teams to meet partner commitments and maintain consistent messaging and delivery quality.

Requirements

6 to 9 years of experience spanning product management, partner enablement, solutions consulting, or similar functions.
Ability to thrive in a dynamic environment with sparse written guidance and frequent change, create structure, ramp quickly, ask sharp questions, stay current, and keep partners and leadership aligned.
Hands-on experience with enterprise software demonstrations or technical enablement.
Product fluency in AI and enterprise SaaS, including the ability to demonstrate products, discuss roadmaps credibly, and connect technical capabilities to partner and customer outcomes.
Working knowledge of enterprise deployment considerations, such as SSO/OAuth/SAML, permissions and access controls, data governance, security reviews, and compliance.
Experience working with or within partner ecosystems such as GSIs, resellers, ISVs, or alliances, and understanding how partners build practices, sell, and deliver.
Outstanding verbal and written communication skills, including the ability to lead hands-on workshops and present to senior partner and internal executives while simplifying complexity without losing technical accuracy.
Executive presence and experience supporting senior leaders in external engagements and drafting communications on their behalf, with strong editorial judgment, attention to detail, and discretion with confidential information.
Experience operating cross-functionally, prioritizing effectively, building consensus, and driving results without direct authority.
Analytical approach to adoption, including defining metrics, instrumenting success, and making data-informed recommendations.
Customer-advocate mindset, including representing external audience needs internally, providing candid feedback, and following through.
Strong judgment about when to act independently and when to escalate, and ability to navigate ambiguity.
Experience using AI tools to improve work through research, synthesis, content creation, or workflow automation.
Proficiency with PowerPoint, Excel, PowerBI, Dynamics, and leading productivity tools.
Based in the San Francisco Bay Area and able to work in a hybrid model.

Nice To Haves

Background in technical pre-sales, partner or channel programs, or product strategy.
Technical background in computer science or engineering.
Hands-on experience with enterprise AI platforms such as ServiceNow, EmployeeWorks, or similar.
Preference for working out of the EmployeeWorks from ServiceNow office in Mountain View, California.

Responsibilities

Translate product strategy, roadmap, and release priorities into clear partner-ready messaging.
Serve as the day-to-day product point of contact for a defined group of strategic partners, providing timely and accurate product information.
Develop and maintain partner-facing product narratives covering packaging, positioning, competitive differentiation, and ideal use cases.
Prepare product leaders for partner engagements with briefings, talk tracks, and follow-through on commitments.
Define and test partner readiness for new capabilities and releases, including packaging, documentation, deployment guides, support escalation paths, and operational playbooks.
Lead partner early-access programs to gather feedback and validate new product capabilities before general availability.
Lead partner adoption efforts for new releases and major capabilities, including announcements, release notes, and demo assets.
Design and deliver partner enablement programs, training curricula, demo kits, solution guides, battlecards, and reference architectures.
Deliver live product demonstrations and workshops to partner sales, pre-sales, and delivery teams, and equip partners to deliver demos independently.
Provide partner teams with talk tracks, discovery questions, ROI narratives, competitive objection handling, implementation checklists, and troubleshooting guides.
Create scalable enablement assets and cadences, such as launch briefings, office hours, and release readouts.
Manage partner community engagement and create content that promotes partner interest and success.
Align partner enablement with partner go-to-market motions in collaboration with Partner Sales, Customer Success, Solutions Consulting, and Professional Services.
Represent partner needs, friction points, and priorities in product planning, packaging, and go-to-market discussions.
Run structured partner feedback loops and synthesize findings into insights for roadmap and go-to-market priorities.
Translate partner and field deployment learnings into prioritized requirements with clear acceptance criteria for inbound product managers.
Manage strategic partner escalations by mobilizing appropriate teams, driving resolution, escalating when needed, and keeping partners informed.
Close the loop with partners on feedback received and actions taken, and monitor partner satisfaction and experience across the partner lifecycle.
Support the GVP of AI Product Management and product leadership in partner executive engagements, including providing product and roadmap context and participating in or leading working-level conversations when appropriate.
Prepare executive engagement briefings, stakeholder context, talk tracks, and clear asks, and drive follow-through on commitments.
Draft executive communications for the GVP, including presentations, decks, documents, emails, and partner-facing updates.
Coordinate across Product, Engineering, GTM, Partnerships, and Customer Success to meet partner commitments and maintain momentum.
Coordinate with other outbound product managers to align partner, customer, and field messaging and avoid conflicting enablement.
Work with inbound product managers and designers to incorporate partner feedback into product requirements and experience design, and communicate changes to partners.
Work with Professional Services and the partner assurance team to support partner delivery quality and readiness and resolve implementation issues.
Share best practices, continuously improve ways of working, and raise the quality and consistency of partner engagement across the organization.