Sr. Staff IT Product Manager - Automation
GAQ426R265
Location: San Francisco, CA or Mountain View, CA
At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth.
Databricks is seeking 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. This role requires a deep understanding of cross-functional business processes and expertise in automation technologies and tools, as well as the ability to collaborate closely with leadership and business partners across sales, finance, and GTM operations. You will report to the VP of IT Product Management & Automation and play a key role in driving continuous improvement and digital transformation company-wide.
The impact you will have:
- Define vision and strategy: Set the long-term vision and strategy for automation products, ensuring they align with broader company goals. This includes identifying opportunities where AI and ML can provide a significant 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 utilizing Databricks and AI. By automating repetitive and time-consuming tasks, you enhance operational efficiency, reduce costs, and increase productivity.
- Scalability: Allow for the Databricks to scale in the sales, revenue operations, accounting and people function without proportional increases in resources. Your ability to design and implement scalable automation solutions enables companies to handle growing volumes of work efficiently and effectively.
- Quality and Accuracy: Automation reduces the risk of errors and improves the accuracy of processes. By implementing automated workflows, you ensure consistency, reliability, and adherence to business rules and standards, thereby enhancing the quality data and reducing the need for manual reconciliations.
- 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: Process automation is a catalyst for innovation within organizations. Your ability to identify opportunities for automation, leverage emerging technologies, and implement innovative solutions drives continuous improvement and fosters a culture of innovation.
- Next Generation Leader: Drive creation and innovation of the next generation of Business workflows with a dedicated focus towards development of Agentic AI solutioning.
What we look for:
- 7+ years of relevant experience as a product engineer in IT automation, focused on designing, developing, and optimizing automated solutions, with a bachelor’s degree; or 3 years with a master’s degree; or a PhD in a related field; or equivalent work 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: Should be able to look at current, manual processes and identify where "extreme automation" using AI, machine learning, and advanced orchestration can create exponential rather than incremental efficiency gains.
- Systems thinking: Map out complex, interdependent workflows and understand how automating one part will affect the entire system. Their vision must be holistic, considering how automated systems will create a cohesive, streamlined experience for end-users.
- Excellent communication, collaboration, and stakeholder management skills, able to partner effectively with technical and non-technical teams at all levels.
Exceptional analytical and problem-solving capabilities, with the ability to translate business requirements into robust technical solutions and drive continued improvements. - 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 to support recommendations and drive action.
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