Staff Technical Project Manager - AI/ML

CSQ326R206

Location: This is a fully US remote position

About the Role:

As a Staff Project Manager for our AI/ML Professional Services, you will play a pivotal role in delivering first of its kind AI projects that drive customer success and push the boundaries of the Databricks product. This position requires a strategic leader who understands our customers’ business goals, manages stakeholders and escalations, and successfully steers technical AI/ML projects from beginning to end. You will lead projects after a statement of work is agreed upon (i.e. post-sales) and will leverage your technical expertise and project management skills to navigate customer challenges and deliver with excellence at every stage. In this position, you will report directly to senior management of Professional Services (Director or higher), working closely with our global ML Practice and broader professional services team.

The impact you will have:

• Customer Success: 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.
• Project Planning: Develop detailed milestone and OKR-based project plans from a statement of work to ensure customer alignment and de-risk projects.
• Project Execution & Risk Management: Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track.
• Stakeholder Management: 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.
• Leadership: Adapt to changing project requirements and priorities, proactively steering projects around challenges and scope changes while collaborating across Professional Services, Engineering, and Sales teams.
• Technical Knowledge: Leverage and expand your understanding of GenAI, Production ML, and Databricks to drive customer outcomes faster.

What we look for:

• Technical knowledge: Deep understanding of the Machine Learning lifecycle, from data ingestion and preparation to model training, evaluation, deployment, and ongoing monitoring (MLOps). 
• 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.
• Versatility: Proven ability to excel in fast-paced environments, managing multiple customer engagements concurrently.
• Communication: Exceptional verbal and written communication skills; capable of developing organized project trackers and executive presentations; experience engaging with senior stakeholders and leading steering committees. 
• Curiosity: Continuous desire to learn and increase technical knowledge.
• Delivery Methodologies: Experience with industry-standard project management techniques, including agile project delivery; AGILE/PMI certification is highly desirable.
• Global Scope: Extensive experience successfully managing and overseeing global projects with teams of up to 10 people and contract values in excess of $1 million
• Industry Knowledge: 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.
• Travel Requirements: Ability to travel up to once a month if/when needed. 

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range$128,500—$179,875 USDZone 2 Pay Range$115,700—$161,900 USDZone 3 Pay Range$109,200—$152,850 USDZone 4 Pay Range$102,800—$143,900 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.