Job Description
As the leader of a team of talented search relevance engineers, your objective will be to measure and improve the ranking and relevance of our AI-powered enterprise search applications. Since these applications also leverage large language models (LLMs), you will also be responsible for measuring and improving RAG-based objectives such as summarization, groundedness of responses, and citation correctness and completeness. You will guide the team to drive end-to-end development of machine-learning models, including data synthesis, feature engineering, experiment design, evaluation and more. Your team will play a pivotal role in improving our search relevance in a systematic and methodical manner as we scale to new customers, new types of data and use-cases, and will ultimately be accountable for the ranking quality of all our enterprise search products.
Your team's ownership of search quality is crucial to the company's search product lines, with success measured by its enablement capabilities. You will enable your team members by facilitating rapid iteration on model enhancements, allowing them to improve ML metrics with a clear understanding of performance tradeoffs and generalizability.
You will be responsible for guiding the team's technical direction, managing project timelines, and ensuring the robustness, efficiency, and innovation of our machine learning based search systems. Your team will collaborate closely with search infrastructure and platform engineers, and partner with product, design, and customer success teams to jointly achieve business objectives.
What You Will Do:
Team Leadership:
Recruit, hire, and mentor a high-performing team of machine learning engineers.
Maintain a “ranking and relevance” mindset in your team, developing a thought leadership on our long-term relevance roadmap.
Foster a collaborative and inclusive team culture, promoting knowledge sharing and continuous learning.
Set clear goals, provide regular feedback, and promote professional growth and development of team members.
Project Management:
Develop and manage project plans, timelines, and budgets for machine learning initiatives.
Ensure the successful execution of projects, from ideation and prototyping to production deployment.
Collaborate with cross-functional teams to define project requirements and priorities.
Technical Leadership:
Drive the technical vision and strategy.
Guide the integration and application of large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enable modern, intelligent search experiences.
Oversee the research, development, and deployment of machine learning models and algorithms.
Stay current with the latest advancements in the field and ensure that our projects leverage cutting-edge technologies.
Quality and Performance:
Implement best practices for model development, data pipelines, and model evaluation.
Monitor and optimize the performance, scalability, and reliability of machine learning systems.
Ensure that our AI solutions meet high standards of accuracy and efficiency.
Stakeholder Communication:
Collaborate with leadership, product managers, customer success staff, and other teams to align machine learning initiatives with business goals.
Provide regular updates and reports on project status, challenges, and successes to stakeholders.
Communicate, collaborate, and build relationships with partner teams and peer teams to facilitate cross-functional projects
What you bring to the table:
Master's degree in Computer Science specializing in Machine Learning or a related field. A Ph.D. is a plus.
8+ years of experience in applied machine learning preferably in the ranking/relevance domain, including 3+ years in technical leadership or management roles.
Proven technical expertise that has been recognized at Staff Engineer (comparable to Google/Meta L6) or above level.
Proven experience managing high-performing teams, including mentoring and supporting Staff-level (I6) or higher engineers, with a strong track record of delivering technically ambitious, production-grade projects.
Proficiency in programming languages such as Python, Golang, C++.
Excellent problem-solving and analytical skills.
Strong communication skills.
Knowledge of software engineering best practices and experience with deploying machine learning models in production environments.
*Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.
Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.
Moveworks Is An Equal Opportunity Employer
*Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.
Who We Are
Moveworks is the Agentic AI Assistant platform that empowers the entire workforce.
Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.
Moveworks is trusted by over 5.5 million employees at more than 350 of the world’s largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft’s 2025 Partner of the Year and in 2024, received the AI Breakthrough Award.
In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining ServiceNow’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work.
By joining our team, you’ll be at the forefront of the AI transformation, backed by the global scale of ServiceNow and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business.
Come join us!
ServiceNow
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.