招聘
Required Skills
Project management
Stakeholder management
Risk management
Commercial acumen
CSQ127R77
As a Staff Project Manager, you are instrumental in driving the mission of our Professional Services team, which is dedicated to accelerating and de-risking our customers' outcomes by ensuring the success of every project we undertake. Your role is pivotal in not only achieving project goals but also in maintaining an exceptional level of customer satisfaction throughout the process. You will expertly navigate the balance between delivering outstanding results and aligning with the commercial objectives of the Professional Services organization. Your leadership and strategic insight will contribute directly to our clients' success and the growth of our business.
The impact you will have:
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You will take ownership of all commercial delivery of services from a project administration and director perspective across numerous projects ranging from a single individual for 2-3 weeks to 6-month engagements of multi-person teams
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Serve as a trusted advisor to senior customer stakeholders, driving clarity, alignment, and confidence through all stages of delivery
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Shape the success of engagements by proactively managing risks, aligning cross-functional teams, and ensuring customer outcomes are met or exceeded
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Ensure accurate reporting on projects and keep all relevant parties up-to-date with project activity and success
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Drive growth in key accounts by identifying expansion opportunities, influencing future roadmaps, and enabling continued adoption of the Databricks platform
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Contribute to the evolution of delivery best practices within the Professional Services team and mentor junior team members to build future leaders
What we look for:
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Proven experience leading complex, enterprise-scale data, analytics, or AI/ML projects in a fast-paced customer-facing environment
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Extensive experience successfully managing and overseeing projects with teams of up to 5 people, with contract values in excess of $0.5 million
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Ability to engage, influence, and build trust with senior executive stakeholders on the customer side, including Cx Os
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Strong understanding of cloud platforms (AWS, Azure, GCP) and familiarity with data lakehouse architecture or modern data platforms
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Demonstrated ability to manage multiple workstreams across technical and business stakeholders, balancing scope, time, and risk
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Experience working with cross-functional teams, including engineering, solution architects, sales, and partners
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Skilled in driving structured governance, managing stakeholder expectations, and facilitating executive-level communication
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Experience in setting up and managing project delivery frameworks, including Agile, Scrum, or hybrid methodologies, ideally with PMI/PRINCE/AGILE certification
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Comfort with ambiguity and ability to bring clarity and structure to unstructured or evolving customer engagement
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Ability to identify delivery risks early and implement mitigation plans to ensure customer outcomes and satisfaction
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Experience with commercial aspects of delivery including change control, SoW management, and margin protection
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High ownership mindset with a bias for action, accountability, and customer success
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Excellent verbal and written communication skills, with the ability to influence at all levels.
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Experience identifying opportunities to expand or upsell services in the context of ongoing delivery engagements
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Product-oriented mindset or experience working closely with product teams is a plus
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Ability to mentor team members.
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.
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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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