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Senior Manager – GenAI Search Platform
| Company | Moveworks |
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| Location | Mountain View, CA, USA |
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| Salary | $225000 – $275000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Master’s degree in Computer Science or a related field. A Ph.D. is a plus.
- 8+ years of experience in machine learning or software engineering, 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- Advocate for platform usability by gathering feedback from internal relevance and product engineers, and ensuring their workflows are fully supported.
Preferred Qualifications
No preferred qualifications provided.
