채용
Required Skills
Program Management
Technical Leadership
Cross-functional Collaboration
Business Analysis
GAQ227R108
Databricks is seeking a Sr. Technical Program Manager to drive some of our high-complexity, high-impact technical programs with a focus on Quote-to-Cash (Q2C) and Commercialization.
This isn’t just another TPM role – it’s an opportunity to transform how Databricks runs and operates. Join a team that’s more interested in getting it right than being right and cares more about winning the game than who scored the points.
This role will be part of the central Transformation and Program Management Office, led by the AVP of Strategy and Execution, and will report to the Director of Technical Program Management.
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Impact You’ll Have
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Own program business and technical outcomes end-to-end, ensuring direct, measurable business impact.
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Lead large-scale, cross-functional teams—often with competing priorities—to deliver high-quality, impactful business or technical outcomes.
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Drive complex, cross-organizational programs spanning multiple domains, ranging from internal platform improvements to customer-facing software delivery.
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Measure the quantifiable impact of implemented outcomes and define clear KPIs to ensure successful execution and sustainable improvement.
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Enable structure and clarity in ambiguous problem spaces, driving decisions and mitigating risks even with incomplete data.
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Maintain a deep technical understanding of the solutions being built, identifying hidden technical risks and resolving upstream and downstream technical dependencies.
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Act as a force multiplier by introducing scalable processes, and driving organizational efficiency at the company level.
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What We Look For
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8+ years of experience driving strategic technical initiatives across multiple functions and influencing VP+ stakeholders.
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Experience creating and evolving program management frameworks and practices.
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Deep expertise in one or more of the following domains: Business Platforms / Enterprise Systems, Commercialization, or cross-system process automation. Experience leading Quote-to-Cash (Deal Operations) initiatives is a strong plus.
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Expertise in Fit-Gap Analysis and leading design and technical trade-off discussions to closure.
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Advanced ability to define and break down ambiguous and complex business problems.
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Strong communication skills with the ability to convey complex ideas authoritatively and influence executives and department leadership.
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Experience driving cross-system process automation and integrations across business-critical workflows (e.g., quoting, pricing/discounting, approvals, contracting, order handoff, invoicing) is a plus.
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Experience with Salesforce CPQ and/or adjacent enterprise systems and integrations that support Quote-to-Cash workflows is a plus.
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Familiarity with compliance, access controls, and secure integration practices in enterprise systems is a plus.
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Experience in the enterprise software industry, SaaS and B2B experience preferred.
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Comfortable thriving in a rapidly scaling, dynamic startup environment.
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Bachelor’s degree required.
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Knowledge of Databricks products is a plus.
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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