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 Reports to: VP, AI GTM Leader We are on a journey to innovate across ServiceNow's go-to-market (GTM), delight our customers, and fuel our unparalleled climb to $30B. ServiceNow's unique positioning to drive exponential productivity with AI is accelerating our climb! With this rapid scale and dynamic growth we're hiring Business Development Managers to capture this generational moment and uncork the AI business. As a Principal Gen AI Specialist, you will play a pivotal role in helping sales leadership define, shape and execute Gen AI strategies within their business. You will help role out initiatives that contribute to market success of ServiceNow's Agentic AI products and will work closely with our leadership to define and execute Go-To-Market (GTM) priorities for Agentic AI and Gen AI across all elements of the integrated ServiceNow Platform. In this role, you will drive cross-functional collaboration to execute strategic initiatives, help uplevel the AI proficiencies of the core team and engage with key pursuits and Accounts. This role requires a seasoned professional with sales leadership, business development, strategy and operations expertise. The candidate must be able to combine AI domain expertise with sales execution excellence to quickly drive action and deliver measurable results. Successful candidates must be self-starters with a consistent track record of exceeding quota in a fast-paced sales environment, especially for new and incubating technologies. They will have superb leadership skills, high level of integrity, coaching acumen, strong executive presence and communication skills, and a passion for winning as a team. They will exemplify the "Hungry and Humble" ServiceNow mantra to extend the reach and influence of our field teams. What you get to do in this role: Develop and execute growth strategies at regional level in conjunction with adjacent functional leaders (Field Sales and Pre-Sales Leadership, Marketing, Alliances & Channels, Professional Services and Sales Operations teams) to effectively scale our AI business. Collaborate closely with leadership to align priorities and business objectives. Help build, manage and report on the AI forecast and pipeline. Contribute to a high powered global team of Gen AI BDM specialists by sharing best practices and supporting your teammates. Partner with our Partner and Channel organization to build a sell to, with and through model for AI in your territory. Monitor industry developments, competitor activities, emerging trends, potential business opportunities, and customer requirements to provide feedback and insights that inform product managers and leadership. Qualifications Strong proficiency with AI sales as a Sales, SC or practitioner of AI capabilities. Specialist sales experience is a plus. Deep AI and Automation solution experience is a must. 10+ years experience in technical consultative selling, account management, or sales strategy roles. Sales experience in large, global software companies (2,000+ employees); skilled at operating in a matrixed sales environment. Strong experience managing multi-tiered customer relationships, selling to large customers and establishing relationships at the C-suite level. A consistent track record of meeting and exceeding team quotas. Superior knowledge and demonstrated skills of sales techniques, customer interaction, customer relations. Strong organization, communication, teamwork, presentation, problem solving and time management skills. Proven track record in business development and strategic planning with VP level leadership The ability to navigate and collaborate through complex opportunities. A winning, can do attitude, strong work ethic, humility and excellent team building communication and listening skills. The willingness and ability to travel 50% of the time. For positions in this location, we offer a base pay of $190,000 - $235,000, 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.

• Lead Supervised Fine-Tuning (SFT) of large language models in production, shaping instruction-following, reasoning quality, tone, and domain-specific behavior • Extend SFT pipelines with instruction tuning and preference-based optimization (e.g., RLHF-style approaches or direct preference optimization) • Design, curate, and maintain high-quality SFT and preference datasets, combining human-labeled and synthetic data tailored to real-world marketing and decisioning use cases • Own model evaluation and benchmarking, including: • Offline behavioral evals (instruction adherence, reasoning depth, hallucination rates) • Online experiments and A/B tests • Continuous regression detection and performance monitoring • Develop and operate agentic LLM systems, enabling multi-step reasoning, tool use, workflow orchestration, and decision execution • Implement and optimize prompting, retrieval-augmented generation (RAG), memory, and tool-calling strategies, with a clear understanding of when to solve problems via SFT versus prompting • Partner closely with data engineering, platform, and product teams to integrate fine-tuned models into high-throughput, low-latency systems • Establish best practices for LLM versioning, experimentation, deployment, rollback, governance, and safety • Provide technical leadership and mentorship to engineers working on applied AI and LLM systems.

Role Description The LLM as a Service team is looking for a Lead AI/DevOps Engineer to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. - Lead DevOps initiatives in on-prem environments. - Design, deploy, and manage scalable AI infrastructure using Kubernetes for reliable orchestration of large language models and related services. - Develop proof-of-concept solutions for advanced AI use cases, including model context protocols (MCPs), LLMs, retrieval-augmented generation (RAG), and agentic workflows. - Partner with security and governance teams to ensure AI solutions comply with enterprise policies, regulatory standards, and privacy best practices. - Collaborate with infrastructure and platform teams to optimize cloud resources for scalable, efficient, and cost-effective AI workloads. - Work directly with customer teams to gather requirements, deliver innovative solutions, and provide ongoing technical support throughout the AI product lifecycle. Qualifications - Proficient in DevOps tools such as Splunk, Dynatrace, Grafana, Prometheus, OpenShift Kubernetes, Docker, and Helm. - Strong hands-on experience with Python; GoLang is a plus. - Customer-focused mindset with a commitment to delivering simple, valuable solutions. - Driven by a clear mission to prioritize customer needs. - Continuously monitor market trends and competitors to inform strategy. - Proactively engage with customers to understand their challenges and identify impactful solutions. - Seek complementary products or services to enhance customer outcomes. - Identify resource gaps and propose sustainable, team-benefiting solutions. - Communicate technical concepts clearly and concisely. - Confident and precise communicator, capable of articulating vision and strategy to diverse stakeholders. - Solution-oriented approach to problem-solving. Benefits - Competitive base salary and may be eligible for an annual bonus or commissions depending on the role. - Insurance (including medical, prescription drug, dental, vision, disability, life insurance). - Flexible spending account and health savings account. - Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave). - 80 hours of Paid Sick and Safe Time. - 25 days of vacation time and 5 personal days, pro-rated based on date of hire. - 10 annual paid U.S. observed holidays. - 401k with a best-in-class company match. - Deferred compensation for eligible roles. - Fitness reimbursement or on-site fitness facilities. - Eligibility for tuition reimbursement. - Many more benefits for full-time (and certain part-time) employees. - Intern benefits include 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Company Description Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

• Drive AI innovations that make high quality mental healthcare more accessible. • Be the founding member of our AI technical team, defining and executing its roadmap. • Lead cross-functional efforts spanning engineering, clinical, compliance, and product teams. • Define and lead the AI roadmap across experimentation, model evaluation, deployment, and iteration. • Architect systems to support safe and scalable LLM interactions—including prompt chaining, memory retention, and RAG pipelines. • Develop strategies for model selection and cost-effective inference at scale. • Design and implement experiments to evaluate the efficacy, safety, and impact of AI innovations. • Build and scale a high-performing AI team across machine learning, data science, MLOps, and backend infrastructure. • Serve as the AI technical authority in conversations with external vendors, cloud partners, compliance officers, and executive stakeholders. • Partner with legal and clinical teams to ensure HIPAA compliance, BAA alignment, and safe handling of sensitive patient data.