• Reviewing a completed proposal form • Transferring the relevant details into our registration system to build a CE event page • Updating HubSpot with new registration counts • Looping in the Customer Success team via Slack if anything needs clarification • Building registration pages for CE events on the client's platform • Ensuring all event details, including titles, dates, credit types, and descriptions, are entered accurately before publishing • Conducting basic quality control checks on each event setup • Updating HubSpot records with information captured from the client's sites • Maintaining clean, consistent data across systems • Communicating proactively with the Customer Success team via Slack • Coordinating with team members to confirm requirements and get timely feedback on tasks • Participating in onboarding walkthroughs and demos as needed

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 Overview: ServiceNow is seeking an experienced and visionary Director of Data & AI Platform Security Product Bundle (Vault) to lead strategy, product direction, and execution for our data, AI, & user security monetizable product portfolio. This role owns the end-to-end leadership of ServiceNow Vault including encryption, data privacy, log export service, code signing & AI native Vault console. This is a high-impact, high-visibility leadership role responsible for shaping enterprises secure data, govern access, meet regulatory demands, and scale securely in an increasingly autonomous and agentic future. The Director will serve as a strategic partner for Engineering, Vault product team, Platform Security, Identity & Authentication, Legal & Compliance, and Executive Leadership. What you get to do in this role: - Strategic Leadership & Vision - Define and drive a multi-year strategy and product vision for Vault product bundle aligned with ServiceNow's platform and business priorities. - Lead ServiceNow's Customer Zero adoption of Vault security capabilities, influencing internal usage patterns and enterprise-scale best practices. - Partner with executive leadership to articulate progress, outcomes, and business value to internal and external stakeholders. - Product Strategy, Roadmap & Delivery - Own the Vault Security product bundle roadmap, including prioritization, sequencing, dependencies, and delivery outcomes. - Translate complex requirements across the ServiceNow Vault product bundle including encryption, data privacy, log export service, code signing & AI native Vault console into clear functional specifications and engineering deliverables. - Champion AI-native features, agentic workflows, and automation-driven security capabilities that modernize enterprise risk management. - Ensure solutions are scalable, resilient, automated, and deeply integrated with the ServiceNow platform and AI ecosystem. - Cross-Functional Leadership - Act as the central point of coordination across SecOps, Identity & Authentication, Platform Security, Engineering, Audit, Risk, legal, P&P, and Compliance teams. - Lead cross-functional planning forums to define requirements, integration patterns, release plans, and adoption strategies. - Influence decision-making across security, product, engineering, and business stakeholders without direct authority. - Domain & Technical Expertise - Experience in leveraging or critically thinking about how to integrate data security & 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. - Apply deep expertise in data, AI security ,and cybersecurity frameworks, including but not limited to SOX ITGC, NIST, ISO, CMMC, privacy regulations, vendor risk, operational resilience, and the EU AI Act. - Guide architectural decisions related to data security, agentic systems, authorization models, protocol security, data protection, and platform access controls. - Evaluate data models, integrations, system architecture, and implementation quality to ensure long-term platform integrity. - Change Management & Adoption - Drive global enablement through training, documentation, communication, and adoption programs. - Define and track KPIs and success metrics for adoption, utilization, risk reduction, and business value realization. The Impact You'll Make: - Shape how global enterprises secure data, AI and autonomous agents at scale. - Influence regulatory readiness and compliance outcomes for customers operating in highly regulated environments. - Modernize the data & AI Security experience-simplifying workflows, improving decision-making, and accelerating platform adoption. - Directly support ServiceNow's mission to make workflows smarter, more secure, and more resilient. - Scale monetizable product to 1B revenue in next 3 years Qualifications Required Experience & Qualifications: - 13-18+ years of leadership experience in data & AI security, data privacy, encryption, authorization, and data security. - Deep expertise in data security, agentic systems, and regulatory frameworks. - Proven experience designing and operating enterprise data security programs. - Demonstrated history of building, mentoring, and leading high-performing teams. - Strong customer-first mindset with the ability to balance innovation, risk, and usability. - Experience with process automation and AI-driven security workflows. - Strong analytical and systems-thinking skills, including exposure to AI & data security tactics. - Ability to clearly communicate complex technical and regulatory concepts to executives, customers, and cross-functional partners. Preferred Qualifications: - Experience working with or building on the ServiceNow Platform. - Background in AI security product management for enterprise or platform-scale solutions. - Experience operating in highly regulated, global enterprise environments. - Local to Santa Clara, CA headquarters office JV20 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 globaltalentss@servicenow.com 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.

• Perform structured data and content reviews • Execute quality checks (grammar, spelling, formatting) • Apply data labeling and tagging • Follow client workflows and instructions • Maintain accuracy and quality standards • Incorporate feedback to improve performance

• Understanding the Role (Entry-Level Scope with High Language Standards) • This role is structured as an Entry-Level (L1 – Foundational Scope) position, which refers to the type of tasks and level of complexity, not the candidate’s overall experience or capability. • Tasks are clearly defined, guideline-driven, and execution-focused, designed for high-volume, standardized work. • While the task complexity is entry-level, we maintain high language quality standards. Candidates should have advanced proficiency (C1/C2 or equivalent) in the required language(s) to ensure accuracy and consistency. • We welcome applicants with more advanced experience (L2/L3); however, task scope and compensation for this role are aligned strictly to entry-level L1 responsibilities. • Early Access Opportunity (Pilot Program) • Join a global AI language project supporting leading technology platforms. This is a flexible, entry-level opportunity to gain hands-on experience in AI data and language quality operations. • This role is part of an early-stage pilot program, where we are building a foundational team to support ongoing and future client initiatives. We are actively building our initial team, and early contributors will be prioritized for ongoing work as the program expands. • At this time, all available work and budget are aligned with entry-level (L1) tasks, which are structured, execution-based, and designed for high-volume delivery. • This role is a starting point within a growing program, with potential for expanded opportunities based on project needs, performance, and budget. • Contributors who are active, reliable, and consistent will remain engaged within the project ecosystem as work continues to evolve. • About Volga Partners • Volga Partners is a U.S.-based company supporting leading technology organizations with Artificial Intelligence and machine learning initiatives. We specialize in large-scale language data operations and quality programs across global markets. • Role Overview • This is a freelance, task-based role designed for individuals seeking flexible, supplemental work and hands-on experience in AI language data and quality operations. • Work is offered on a first-come, first-served basis as tasks become available. Hours may be irregular and intermittent depending on client volume. • This role is well suited for candidates who are detail-oriented, adaptable, and comfortable working within structured guidelines. • Project hours may align with IST (Indian Standard Time) depending on workflow requirements. • Example Tasks • Review content for grammar, spelling, and clarity • Translate short, straightforward phrases • Compare data against provided guidelines • Apply basic data labels using step-by-step instructions • Flag errors or inconsistencies • Key Responsibilities • Perform structured data and content reviews • Execute quality checks (grammar, spelling, formatting) • Apply data labeling and tagging • Follow client workflows and instructions • Maintain accuracy and quality standards • Incorporate feedback to improve performance