Senior Manager - GenAI Search Platform

Machine Learning Engineering Manager - GenAI Search Platform

As the leader of a team of talented machine learning engineers, your foremost objective will be to establish a ML platform facilitating AI-powered enterprise search applications leveraging large language models (LLMs). You will guide a team in architecting the ranking systems, developing a framework, and providing tools to ensure system health, while also solidifying model training and evaluation workflows. Your team will occupy a pivotal role connecting search infrastructure with ML-based ranking, and will ultimately be accountable for the stability and performance of enterprise search products built on top of the platform. 

Your team's ownership of the search platform is crucial to the company's search product lines, with success measured by its enablement capabilities. This platform should facilitate rapid iteration on model enhancements for relevance engineers, allowing them to improve ML metrics with a clear understanding of performance tradeoffs. Additionally, it should enable product engineers to develop novel search applications with ease.

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 relevance 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 “system focus” mindset in your team. 
• 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.
• 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.

What You Bring To The Table:

• Master's degree in Computer Science  or a related field. A Ph.D. is a plus.
• 5+ years industry experience.
• Proven technical expertise that has been recognized at Staff Engineer (comparable to Google/Meta L6) or above level.
• Experience in leading or managing machine learning/AI teams, with a track record of successful project delivery, and coaching team members toward their career growth.
• 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.

Base Compensation Range: $227,000 - $275,000

*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 an AI Assistant that helps all employees find information, automate tasks, and be more productive. We give the entire workforce one interface to get answers and take action across every enterprise system. And for developers, we make it easy to build and deploy AI agents that bring the power of Moveworks to every business process or workflow.

It’s all powered by a pioneering Reasoning Engine paired with an Agentic Automation Engine that, together, are able to handle even the most complex requests by understanding queries, then building and executing intelligent plans to fulfill them — in seconds.

Founded in 2016, Moveworks has raised $315M in funding, and eclipsed $100M in ARR in 2024 thanks to our award-winning product and team. Along the way, we’ve earned recognition as a leader in the Forrester Wave for Conversational AI Platforms for Employee Services, as a member of the Forbes Cloud 100 and AI 50 lists, and as one of America’s Most Loved Workplaces according to Newsweek. 

Today, Moveworks has over 500 employees in six offices globally, and is backed by some of the world's most prominent investors including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.

Over 350 leading organizations like Marriott, Databricks, Toyota, CVS Health, and Honeywell trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation.

Come join one of the most innovative teams on the planet!