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 About the Role You'll own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role — you'll be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team in the morning and collaborating with internal engineering and product teams in the afternoon. This is not a back-office engineering role — you will be in front of customers regularly and are expected to travel up to 25% of the time. This role will primarily support customers within the U.S. federal sector, working closely with government agencies and stakeholders to deliver solutions in highly regulated environments. As such, candidates must either hold an active security clearance or be willing and eligible to undergo the appropriate clearance and background screening process. The ability to operate effectively within federal compliance frameworks and handle sensitive information with discretion is essential for success in this position. On occasion, this role may also support commercial customers on an as-needed basis, requiring flexibility to adapt across different customer environments and priorities. What You'll Own - Customer Technical Relationships: Serve as the primary technical owner across 5–8 enterprise customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle. - Solution Design & Architecture: Partner with customers to architect and deliver high-impact AI solutions that solve real business challenges — leveraging the Moveworks Platform in innovative and meaningful ways. - Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others. - Strategic Advisory: Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time. - Product Feedback Loop: Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution. - Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team. About You You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success — and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team. - Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts — architecture diagrams, solution proposals, SOWs — tailored to both technical and business audiences. - Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Curiosity & Adaptability: You are a rapid learner with high technical aptitude — equally curious about what's happening under the hood and why a business process works the way it does. - Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users. - Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. - Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications Required: - 5+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer - Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers - Active U.S. security clearance (e.g., Secret or Top Secret) is preferred; candidates must be eligible and willing to obtain and maintain a clearance if required. - Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang) - Willingness and ability to travel up to 25% of the time - Ability to operate across multiple business functions and technical domains Preferred: - Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta - Familiarity with Linux and Windows environments and command line - Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions Please Note: This position will include supporting our US Federal customers. This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. For positions in this location, we offer a base pay of $116,400 - $192,100, 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, 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 [email protected] 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. - Employee Type: Regular - Region: AMS - North America and Canada - Work Persona: Flexible or Remote

Role Description In this role, the Software Engineer Senior will focus on AI/SDLC and Python, and influence technical direction through strong engineering judgement and collaboration. This role will technically lead a high impact AI engineering team and play a defining role in how AI-driven software is built across a growing and ambitious organization. The Software Engineer Senior will work in close partnership with key business and technical stakeholders to define cloud native, container first solutions designed for enterprise use from day one. This is a hands-on technical leadership role where job duties include: - Writing production code - Driving proof-of-concepts - Validating architectural decisions through implementation Qualifications - Strong technical leadership - Advanced Python engineering (maintainable OOP, typing, async; FastAPI preferred) - REST APIs and service integrations - Cloud delivery (Azure preferred) - Containers; Kubernetes - Modern CI/CD and DevOps practices - Quality mindset (unit/integration testing, reviews) - Security fundamentals (AuthN/AuthZ, secure build/deploy) - Agile collaboration - SQL and NoSQL data stores - Linux proficiency Requirements - Lead the technical direction of a high impact AI engineering team, staying hands-on and setting the pace. - Design and deliver cloud native, container first services that are built to scale and ready for real enterprise use. - Partner closely with architects and key stakeholders to shape architecture, align on patterns, and translate strategy into practical engineering decisions. - Take AI enabled capabilities from early exploration and proof-of-concept through to secure, reliable, production deployments. - Mentor and coach engineers; Support hiring/onboarding critical talent and strengthening a collaborative culture. Benefits - Generous benefits including health care - Dental coverage - Vision plans - 401K benefits - Commissions/incentive compensation depending on the role

Role Description We're looking for a Senior Director, AI Engineering. This role is Remote. Cornerstone provides an AI-powered Talent Experience Platform enabling unified content discovery, knowledge management, and personalized learning experiences across the career journey. Our platform is trusted globally by leading enterprises and government organizations to address complex challenges in discovery, curation, and recommendation across diverse knowledge sources. As we accelerate investment in transformative AI product initiatives, Cornerstone seeks a Senior Director of AI Engineering to architect, lead, and scale our next-generation AI capabilities. This strategic leader will drive the development and delivery of innovative AI solutions that redefine how millions of users learn, grow, and perform. The Senior Director, AI Engineering, will own end-to-end technical strategy, execution, and organizational leadership for our AI engineering division. In collaboration with Product, Data Science, and Engineering leadership, you will help define and realize our AI vision—overseeing multiple teams responsible for AI-driven features, recommendation systems, generative AI, and actionable insights. You will set standards, ensure operational excellence, drive cross-functional adoption, and build a world-class engineering culture. Responsibilities - Strategic & Technical Leadership - Set and execute the strategic technical direction for AI engineering across all product lines, ensuring alignment with business objectives and product vision. - Architect foundational AI platform components—recommendation systems, generative AI, ML infrastructure, and data analytics—to support scalability, security, and extensibility. - Lead adoption of advanced machine learning methodologies, MLOps best practices, and production-grade AI reliability. - Oversee platform-wide architecture decisions, including CI/CD pipelines, cloud-native deployments, and automation supporting the full ML lifecycle. - Champion rapid experimentation and data-driven iteration, driving continuous improvement in model performance, user engagement, and measurable outcomes. - Execution & Delivery Excellence - Own the execution and delivery of AI/ML initiatives across multiple engineering teams and products, ensuring quality, predictability, and impact. - Define and monitor key metrics for system reliability, customer value, and product success. - Partner with Product, Data Science, and Customer teams to ensure AI solutions meet operational, compliance, and stakeholder requirements. - Serve as the technical spokesperson for AI initiatives, interfacing with executive leadership, clients, and external partners. - People & Organizational Leadership - Build, mentor, and scale high-performing teams of engineering managers, software engineers, and ML specialists in a diverse, autonomous environment. - Foster an inclusive culture of innovation, collaboration, and operational excellence. - Develop organizational capabilities for talent acquisition, development, and retention as the AI portfolio evolves. - Lead organizational change, championing Agile and Lean methodologies and driving cross-functional alignment. - Technology Stack & Capabilities - Programming & Data: Python, Java/Kotlin, advanced data and visualization libraries. - Backend & Data: RESTful APIs, distributed systems, analytical databases. - AI/ML: PyTorch, TensorFlow, Hugging Face, OpenAI APIs. - ML Pipelines & MLOps: Apache Airflow, Kubeflow, Ray (or equivalent). - Cloud & DevOps: CI/CD, cloud deployment, monitoring, infrastructure automation. - Development Practices: Scaled Agile/Lean, enterprise software development. Qualifications - Bachelor’s or Master’s degree in Computer Science or related field; PhD preferred. - 15+ years of progressive experience designing and building scalable, mission-critical systems at enterprise scale. - 10+ years of experience driving AI/ML strategy and delivery, including NLP, generative AI, and advanced recommendation systems. - 8+ years in engineering leadership roles, including direct management of managers and multi-team organizations in high-growth environments. - Deep expertise in ML algorithms (classical and deep learning), frameworks, system architecture, and operational best practices. - Proven track record with high-availability architectures, security, performance, and compliance in cloud environments. - Exceptional communication, executive presence, and stakeholder management skills. - Deep commitment to customer-centric innovation and product excellence. Benefits - At Cornerstone, our transparent total rewards program is based on three core tenets: equitable pay, market dynamic research, and skill-based appraisal. - The base salary range for this position is: $250000 - $400000 USD. - In addition to competitive base pay, the compensation package for this role may include other incentives like bonus or commission, along with a generous benefits package. - Additional base pay may be available if you reside in a high-cost metro area (New York City or San Francisco Bay Area). - This range reflects the minimum and maximum salary for this position. Where an individual’s pay falls within the range is determined by factors including, but not limited to, job-related skills, experience, and relevant education or training.

Role Description We are looking for a highly motivated Principal AI Solutions Engineer to join our digital innovation team and help revolutionize how we serve our primarily B2C (Business-to-Consumer) customers. This role is ideal for someone who is passionate about AI, automation, and customer service, with a hands-on approach to creating and optimizing use cases / agents for AI-driven interactions. - Create and refine AI models to improve responses and transactional capabilities (such as order management, scheduling repairs, processing warranty claims, and assisting with product troubleshooting). - Ensure the bot performs effectively and craft smart and scalable use cases / agents to empower customers to quickly resolve their issues through automation. Qualifications - Minimum of 7 years of relevant experience including 2+ years of experience in AI use case development, conversational AI, or natural language processing for customer-facing solutions. - Hands-on experience working with AI chatbots or virtual assistants, including training models, creating conversational workflows, and improving customer interactions. - Proficiency in designing conversation flows, decision trees, and designing systems that handle transactions and inquiries. - Experience working with AI platforms such as those from Google, AWS, OpenAI, or others. - Strong understanding of customer service processes and the ability to translate complex customer needs into practical AI-driven solutions. - Strong problem-solving skills and the ability to craft solutions that balance customer experience and business objectives. - Highly organized and able to manage multiple AI use-case projects simultaneously. - Deep understanding of the customer pain points and how AI can alleviate those in a meaningful way. - Effective communicator who can clearly articulate technical concepts to non-technical stakeholders. Requirements - Bachelor’s or Master’s degree in Computer Science, Engineering, Linguistics, or a related field (preferred). - Familiarity with scripting languages (e.g., Python, JavaScript) to enhance bot functionalities and integrate APIs for transactional workflows (preferred). - Experience working with a B2C contact center, especially in a consumer goods or appliance manufacturer environment (preferred). - Knowledge of NLP models and how they can be fine-tuned for specific customer service applications (preferred). - Background in customer journey mapping, process automation, or integrating AI with CRM systems (e.g., Salesforce) (preferred). - Passionate about continuous learning, especially in the AI/ML field, and driven by results (preferred). Benefits - Flexible work arrangements to balance the needs of the individual, team, and organization. - Commitment to inclusion and diversity, fostering an environment where every individual feels valued and empowered. - Opportunities for continuous learning and professional development. Company Description GE Appliances, a Haier company, is the fastest-growing appliance company in the U.S. We believe in the power of our people and in giving them the freedom to explore, discover, and build good things together. - Our philosophy is backed by three simple commitments: we come together, we always look for a better way, and we create possibilities. - We are a trust-based organization offering flexibility to our employees while balancing business needs. - GE Appliances is an Equal Opportunity Employer.