Databricks Inc.
Sr. Staff IT Product Manager - Automation
Databricks Inc., San Francisco, California, United States, 94199
Sr. Staff IT Product Manager – Automation
Location:
San Francisco, CA or Mountain View, CA
At Databricks Information Technology, we are a product‑led organization transforming the way we work by making IT services easier to use and by building applications that help us scale seamlessly amid remarkable growth.
Databricks is looking for a dynamic
Staff IT Product Manager
to lead end‑to‑end process automation across all business functions, spanning Quote to Revenue, Finance, and Go‑to‑Market (GTM) systems. The successful candidate will drive the analysis, design, and implementation of automation solutions to maximize operational efficiency and productivity throughout the organization. By minimizing manual touches and reimagining critical workflows, you will enable Databricks to scale and optimize processes from quoting and sales through revenue recognition and financial reporting.
Responsibilities
Define vision and strategy: Set the long‑term vision and strategy for automation products, ensuring alignment with broader company goals and identifying opportunities where AI and ML can provide a competitive advantage.
Create product roadmap: Develop and manage a strategic product roadmap that balances short‑term needs with long‑term objectives for the automation platform.
Lead without authority: Significantly influence the overall product roadmap and strategy through deep domain expertise and strong communication, rather than direct management of product teams.
Operational efficiency: Streamline workflows, eliminate manual tasks, and optimize processes, increasing productivity and reducing costs.
Scalability: Design scalable automation solutions for sales, revenue operations, accounting, and people functions, enabling efficient handling of growing workloads.
Quality and accuracy: Implement automated workflows to reduce errors, improve data consistency, and ensure adherence to business rules.
Cross‑functional collaboration: Partner with stakeholders across finance, accounting, and GTM to identify pain points, gather requirements, and deliver end‑to‑end automation solutions that align with key business objectives.
Innovation: Identify opportunities for automation, leverage emerging technologies, and drive continuous improvement and a culture of innovation.
Next‑generation leadership: Drive creation of next‑generation business workflows with a focus on Agentic AI solutioning.
Qualifications
7+ years of relevant experience as a product engineer in IT automation, focused on designing, developing, and optimizing automated solutions. Bachelor's degree required; alternatively 3 years with a master’s degree, a PhD, or equivalent experience.
Demonstrated success in leading end‑to‑end automation initiatives, delivering measurable improvements in efficiency and scalability.
Deep understanding of business processes, expertise in analyzing, designing, and implementing automation at scale, and a strong technical background with practical experience in modern automation tools, process mining, and AI‑based automation technologies.
Ability to identify exponential opportunities, seeing where “extreme automation” using AI, ML, and advanced orchestration can create significant efficiency gains.
Systems thinking: Map interdependent workflows and understand the impact of automating one part on the entire system.
Excellent communication, collaboration, and stakeholder management skills to partner effectively with technical and non‑technical teams.
Exceptional analytical and problem‑solving capabilities, translating business requirements into robust technical solutions and driving continuous improvement.
Proven ability to multitask and thrive in a fast‑paced, dynamic environment while managing multiple automation projects concurrently.
Robust experience working with Agile/Scrum teams, serving as a Product Owner, and strong data and metric‑driven decision‑making skills.
Pay Range Transparency Zone 1 Pay Range: $189,600 — $265,425 USD. The total compensation package may also include eligibility for annual performance bonus, equity, and the benefits listed above.
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 .
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 and has offices around the globe.
Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure that our hiring practices are inclusive and meet equal employment opportunity standards, respecting all protected characteristics.
EEO Statement Databricks is an Equal Opportunity Employer. We do not discriminate on the basis of any protected group status under applicable law.
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, and Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr
San Francisco, CA or Mountain View, CA
At Databricks Information Technology, we are a product‑led organization transforming the way we work by making IT services easier to use and by building applications that help us scale seamlessly amid remarkable growth.
Databricks is looking for a dynamic
Staff IT Product Manager
to lead end‑to‑end process automation across all business functions, spanning Quote to Revenue, Finance, and Go‑to‑Market (GTM) systems. The successful candidate will drive the analysis, design, and implementation of automation solutions to maximize operational efficiency and productivity throughout the organization. By minimizing manual touches and reimagining critical workflows, you will enable Databricks to scale and optimize processes from quoting and sales through revenue recognition and financial reporting.
Responsibilities
Define vision and strategy: Set the long‑term vision and strategy for automation products, ensuring alignment with broader company goals and identifying opportunities where AI and ML can provide a competitive advantage.
Create product roadmap: Develop and manage a strategic product roadmap that balances short‑term needs with long‑term objectives for the automation platform.
Lead without authority: Significantly influence the overall product roadmap and strategy through deep domain expertise and strong communication, rather than direct management of product teams.
Operational efficiency: Streamline workflows, eliminate manual tasks, and optimize processes, increasing productivity and reducing costs.
Scalability: Design scalable automation solutions for sales, revenue operations, accounting, and people functions, enabling efficient handling of growing workloads.
Quality and accuracy: Implement automated workflows to reduce errors, improve data consistency, and ensure adherence to business rules.
Cross‑functional collaboration: Partner with stakeholders across finance, accounting, and GTM to identify pain points, gather requirements, and deliver end‑to‑end automation solutions that align with key business objectives.
Innovation: Identify opportunities for automation, leverage emerging technologies, and drive continuous improvement and a culture of innovation.
Next‑generation leadership: Drive creation of next‑generation business workflows with a focus on Agentic AI solutioning.
Qualifications
7+ years of relevant experience as a product engineer in IT automation, focused on designing, developing, and optimizing automated solutions. Bachelor's degree required; alternatively 3 years with a master’s degree, a PhD, or equivalent experience.
Demonstrated success in leading end‑to‑end automation initiatives, delivering measurable improvements in efficiency and scalability.
Deep understanding of business processes, expertise in analyzing, designing, and implementing automation at scale, and a strong technical background with practical experience in modern automation tools, process mining, and AI‑based automation technologies.
Ability to identify exponential opportunities, seeing where “extreme automation” using AI, ML, and advanced orchestration can create significant efficiency gains.
Systems thinking: Map interdependent workflows and understand the impact of automating one part on the entire system.
Excellent communication, collaboration, and stakeholder management skills to partner effectively with technical and non‑technical teams.
Exceptional analytical and problem‑solving capabilities, translating business requirements into robust technical solutions and driving continuous improvement.
Proven ability to multitask and thrive in a fast‑paced, dynamic environment while managing multiple automation projects concurrently.
Robust experience working with Agile/Scrum teams, serving as a Product Owner, and strong data and metric‑driven decision‑making skills.
Pay Range Transparency Zone 1 Pay Range: $189,600 — $265,425 USD. The total compensation package may also include eligibility for annual performance bonus, equity, and the benefits listed above.
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 .
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 and has offices around the globe.
Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure that our hiring practices are inclusive and meet equal employment opportunity standards, respecting all protected characteristics.
EEO Statement Databricks is an Equal Opportunity Employer. We do not discriminate on the basis of any protected group status under applicable law.
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, and Employer may decline to proceed with an applicant on this basis alone.
#J-18808-Ljbffr