• Build and maintain trusted relationships with senior executives within P&C insurance organizations including Chief Claims Officers, Chief Data Officers, and underwriting leaders. • Develop deep understanding of client priorities across claims automation, underwriting optimization, fraud detection, risk modeling, catastrophe analytics, and regulatory compliance. • Serve as a strategic advisor guiding clients through AI adoption decisions, from use case scoping through production deployment and model governance. • Lead executive conversations on how AI — and specifically human-in-the-loop approaches — can improve efficiency, accuracy, and defensibility in insurance workflows. • Navigate complex multi-stakeholder environments: actuarial, claims, IT, legal/compliance, and data science functions often have divergent priorities; you’ll need to align them. • Proactively identify expansion opportunities within accounts; map and cultivate economic buyers and champions. • Drive new logo acquisition and account expansion within large enterprise P&C insurance across major US and European markets. • Develop strategic account plans with clear expansion paths from initial use case to enterprise-wide AI program. • Lead commercial engagements end-to-end: discovery, proposal development, commercial structuring, and executive presentation. • Partner with internal teams to shape consulting engagements tailored to insurance operations. • Understand P&C procurement dynamics, including RFP processes, vendor risk management, data governance and residency requirements, and regulatory constraints — and navigate them effectively. • Identify high-impact AI use cases across the P&C value chain, including: claims document processing and intelligent document understanding; aerial and satellite imagery analysis for property assessment; NLP for policy, coverage, and regulatory text; underwriting data enrichment and risk model validation; FNOL automation and subrogation workflows. • Conduct discovery sessions and workshops to identify opportunities for AI-driven transformation across insurance value chains. • Translate client operational and regulatory challenges into compelling AI solutions involving data annotation, machine learning model development, and automation pipelines. • Collaborate with data scientists and engineering teams to ensure successful project execution. • Ensure timely delivery, scope, and client satisfaction throughout project lifecycles. • Stay informed on emerging trends in AI within insurance, including risk modeling, intelligent document processing, and fraud detection. • Contribute to external visibility through participation in industry events and client workshops, positioning the company as a trusted AI consulting partner. • Demonstrate expertise in the regulatory landscape shaping AI in insurance: state DOI guidelines, NAIC model bulletins, EU AI Act implications for European carriers, and model risk management frameworks. • Lead cross-functional teams of consultants, data scientists, and engineers. • Foster collaboration and innovation across delivery teams. • Support knowledge sharing and best practices in AI consulting engagements.

• Define and run SnowHeap’s AI governance program: policies, control library, risk register, exception handling, and sign-offs (from ideation to production). • Map laws and frameworks (EU AI Act, GDPR/PDPL/DIFC DPL, NIST AI RMF, ISO/IEC 42001 & 27001, SOC 2) to concrete technical controls in our products and client projects. • Build an evaluation harness for LLMs/agents: golden sets, scenario tests, adversarial probes, offline evals, and online A/Bs; track hallucination, safety, bias, privacy leakage, robustness, cost, and latency. • Implement guardrails (PII detection, jailbreak/prompt-injection defenses, output filters, content safety) and wire them into pipelines (LangChain/LangGraph, CrewAI/Agno). • Stand up audit-ready telemetry: data lineage, prompt/response logging with redaction, model cards, decision traces, and approval workflows (LangSmith/observability tools). • Partner with Security/Privacy on DPIAs/TRA, retention, DLP, key management, access controls, and vendor risk (OpenAI/Anthropic terms, Azure/GCP/AWS). • Lead red-teaming exercises; coordinate incident response playbooks for model failures and safety regressions. • Review prompts, fine-tunes, and datasets for policy compliance; curate evaluation datasets and “go/no-go” acceptance criteria. • Coach engineers, sales, and clients; write crisp docs and checklists; run internal trainings and readiness reviews. • Contribute to proposals and client audits; turn compliance into a product advantage.

• Production reliability: ensuring HAP (our Hybrid AI Platform) and customer deployments operate dependably under real traffic, real data, and real regulatory constraints • Agent trust: building the frameworks — technical and operational — that allow enterprise customers to trust autonomous AI agents doing work on their behalf • A production quality operating system: quality gates, phase transition criteria, incident taxonomy, observability spec across our 6-layer Reference Architecture • A continuous validation framework for agentic workflows — autonomous evaluation pipelines that catch regression without human intervention • An agent decision qualification framework: risk-tiered oversight for autonomous agent decisions • A trust evidence system: the observable signals that enterprise customers use to extend trust to agents operating on their behalf • Production observability: instrumentation across Ingest, Prepare, Serve, Orchestrate, Monitor, and Optimize layers of the Reference Architecture • A post-mortem and CAPA system: every production incident produces a root cause, a corrective action, and a new test that prevents recurrence

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: Want to define how AI reshapes the end-to-end marketing lifecycle and turns strategy into durable operating leverage? This role sits at the intersection of marketing, product, and enterprise AI execution. You will own the strategic spine that connects AI ambition to real productivity, portfolio coherence, and measurable growth. As AI Product Portfolio Director, you will define a singular vision for how AI is deployed across marketing, translate that vision into an actionable MarTech and agentic roadmap, and ensure investments compound rather than fragment. This is not an experimentation role. It is a Product Management role with accountability for outcomes. You will work across Global Marketing, Technology, and external partners to ensure AI capabilities align to ServiceNow's platform, product direction, and enterprise standards. Success is measured by adoption, efficiency gains, and the organization's rising AI fluency, not by pilots shipped. Key Responsibilities: - Own the AI MarTech and agentic roadmap, prioritizing capabilities that eliminate redundant workflows, increase speed to market, and improve decision quality. - Evaluate AI tools, platforms, and vendor offerings to determine strategic fit, scalability, and integration within ServiceNow's marketing and enterprise technology environment. - Identify, design, and scale agentic and multi-agent use cases that replace manual processes with durable, governed automation. - Develop and deliver the executive narrative that aligns AI strategy, investment, and operating impact, enabling leadership to make clear tradeoffs and funding decisions. - Drive AI proficiency across the marketing organization by shaping enablement strategies, learning paths, and practical adoption models that move teams from curiosity to competence. - Partner with AI, security, legal, and data leaders to ensure responsible deployment, governance alignment, and long-term scalability. - Track and demonstrate value creation, ensuring AI investments deliver measurable productivity gains and strategic leverage, not isolated wins. Qualifications To be successful in this role you have: - Experience in leveraging or critically thinking about how to integrate 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. - 12+ years of experience across Product Management, Marketing Strategy, Marketing Operations, Transformation, or Product-led Growth, with demonstrated leadership in AI-driven initiatives and demonstrated ownership of complex, cross-functional initiatives. - Proven experience evaluating and deploying AI tools, platforms, and workflows across a marketing ecosystem, with accountability for outcomes. - Proven ability to assess and rationalize complex MarTech and AI ecosystems, translating strategy into clear roadmaps and execution priorities. - Deep understanding of AI agents, LLMs, generative AI, and agentic workflows, with a practical bias toward business and operational impact. - Experience building executive-level narratives that connect AI investment to business performance, efficiency, and growth. - Strong cross-functional leader who can align product, marketing, technology, and vendors around a single strategic direction. - Comfort operating in ambiguity while driving toward clarity, focus, and outcomes at scale. - Clear, credible communicator with the ability to influence senior leaders and align diverse stakeholders. JV20 For positions in this location, we offer a base pay of $173,200 - $238,000, 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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.