• Own the team's technical strategy, roadmap, and goals across Single and Cross retailer search, query understanding, suggestions, Ads on Search. • Drive top-line growth while holding a strict quality bar. • Champion the use of LLMs in search. • Partner with the platform team to design and ship the next-generation search retrieval architecture, while managing the latency and reliability tradeoffs of a tier-1 surface. • Double the team's experimentation velocity by investing in evaluation, AI-native debugging tooling, and ML foundations. • Partner closely with ML, Product, Data Science, the Home and Discovery Platform teams, the Ads organization, and whitelabel retailer teams to translate ranking changes into business and retailer outcomes. • Hire, develop, and coach engineers, and build an inclusive, high-trust team culture.

• Lead and manage a team of product security engineers • Stay hands-on: contribute to architecture, design, and code reviews • Own end-to-end delivery for product security systems • Define, manage, and maintain the team’s Jira backlog • Balance your team’s workload across feature delivery, system stability, security maintenance • Design and implement backend services in Golang and frontend components in JavaScript/TypeScript • Drive engineering quality through observability, testing strategy, CI/CD integration • Partner with other engineering teams to ensure integration • Communicate clearly and consistently with your team and leadership • Leverage AI-assisted engineering tools to accelerate development • Own compliance, security posture, and system quality for your team’s products

Role Description ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. As a FDE Build Manager, you operate on the frontlines of transformation. You will support ServiceNow’s cross-functional Forward Deployed Engineering (FDE) teams in building and delivering intelligent, scalable AI solutions that solve our customers’ most mission-critical challenges. You'll work in a fast-paced environment as our FDE team partners with key strategic customers to accelerate time to value. You will provide a proactive, strategic perspective, manage customer relationships, and drive tactical execution from initial conception through FDE build development, delivery, and successful completion. Qualifications - 10+ years of project/program management experience in mid/large size software development companies - A solid understanding of SDLC and release management practices in cloud-based SaaS product organizations - Prior work delivering AI or intelligent workflow solutions at scale, with proven success in deploying AI solutions that delivered tangible customer impact - Familiarity with AI governance, compliance, and enterprise security practices - This role includes occasional travel Requirements - Demonstrated competence in key AI/ML software engineering program management best practices: program planning, schedule construction and management; risk assessment & mitigation, dependency management, change management, and predictive metrics - Outstanding collaboration and communication skills - clearly communicate changes, requests, and deadlines to the teams and risks, status, progress, and decisions to a variety of audiences including executives - Passion for working with people in technical and innovative environments, with the ability to work well with many different types of personalities in various functions - Strong leadership and relationship building skills to influence and motivate without authority - masterful in the art of bringing people together - Strong facilitation skills to lead/drive a variety of build events, with a high regard for quality, drive for continuous improvement across the organization, and ability to keep the big picture in view - Experience deploying AI solutions to production and skilled at identifying waste/delays in AI end-to-end development, deployment, and release processes - Exceptional team building and team management skills, including interpersonal skills, conflict resolution, and negotiation - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving 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.

• Set the short and long term strategy for the Data Platform in partnership with Qualitative Science, Decision Science and Product • Effectively manage the individuals on your team to ensure they are performing well in their role and as members of the team • Use an appropriate mixture of coaching, directive feedback, and delegation to achieve business, team and individual goals • Identify gaps in the team and develop plans to address those gaps via individual development, hiring, or partnership • Proactively dive into code, design reviews, and technical challenges alongside your team when necessary • Work closely with the Engineering Leadership team to improve the effectiveness of the Engineering org as a whole