Technical Project Manager - AI/ML

Summary

Join Databricks as a Staff Project Manager for AI/ML Professional Services and play a pivotal role in delivering cutting-edge AI projects. Lead projects post-sales, leveraging technical expertise and project management skills to navigate customer challenges. Ensure high customer satisfaction and successful project outcomes. Develop detailed project plans, drive progress, and mitigate risks. Effectively manage stakeholders, adapt to changing priorities, and collaborate across teams. Expand your understanding of GenAI, Production ML, and Databricks to drive faster customer outcomes. Report directly to senior management, working closely with the global ML Practice and broader professional services team.

Requirements

• Deep understanding of the Machine Learning lifecycle, from data ingestion and preparation to model training, evaluation, deployment, and ongoing monitoring (MLOps)
• Proven ability to excel in fast-paced environments, managing multiple customer engagements concurrently
• Exceptional verbal and written communication skills; capable of developing organized project trackers and executive presentations; experience engaging with senior stakeholders and leading steering committees
• Continuous desire to learn and increase technical knowledge
• Extensive experience successfully managing and overseeing global projects with teams of up to 10 people and contract values in excess of $1 million
• Strong background in the big data and analytics industry domain with a focus on GenAI and ML, with a proven ability to quickly learn new technical domains
• Ability to travel up to once a month if/when needed

Responsibilities

• Take ownership of all phases of project delivery for our largest and most strategic AI/ML Services accounts, ensuring high customer satisfaction, successful project outcomes, and alignment with the account strategy
• Develop detailed milestone and OKR-based project plans from a statement of work to ensure customer alignment and de-risk projects
• Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track
• Facilitate effective meetings across technical and non-technical stakeholders, both internally and externally. This includes Engagement Managers, Account Teams, Resource Managers, Databricks leadership, and customer stakeholders
• Adapt to changing project requirements and priorities, proactively steering projects around challenges and scope changes while collaborating across Professional Services, Engineering, and Sales teams
• Leverage and expand your understanding of GenAI, Production ML, and Databricks to drive customer outcomes faster

Preferred Qualifications

• Proficiency with cloud-based AI/ML platforms (AWS SageMaker, Google Cloud AI Platform/Vertex AI, or Azure Machine Learning) and their services will be a plus
• Experience with industry-standard project management techniques, including agile project delivery; AGILE/PMI certification is highly desirable

Benefits

• Annual performance bonus
• Equity