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Senior Program Manager
2 months ago
Location: Remote or Hybrid options available.
Position Overview:
As a Senior Program Manager specializing in Technical Operations, you will play a crucial role within the engineering division, serving as a vital link among various departments (Engineering, Product Management, User Experience, Documentation, Support, Sales, Legal, Security, Privacy, Developer Relations, etc.). Your primary responsibility will be to establish consistent processes and enhance execution efficiency.
Key Responsibilities:
- Lead teams through complex challenges, clarify issues, and outline requirements.
- Identify solutions, engage stakeholders, assess risks, manage limitations, and communicate progress.
- Oversee product launches, evaluate key performance indicators, and celebrate achievements.
In this role, you will be pivotal in steering strategic projects for the Monetization Engineering team within the Research and Development framework. As Databricks continues to innovate with new features and products, the Monetization Engineering team is tasked with facilitating revenue generation.
Impact:
In this position, you will have the opportunity to engage with the entire Databricks ecosystem and multi-cloud infrastructure.
You will nurture and enhance partnerships with leading cloud service providers, laying the groundwork for an exceptional Databricks customer experience.
Your role will involve hands-on collaboration with engineering teams and cloud partners, leading large-scale initiatives to ensure the reliability, scalability, and security of Databricks solutions.
Additionally, you will strategically automate and refine daily operations and processes, playing a central role in establishing controls and standards across our infrastructure to achieve product stability and excellence in DevOps practices.
Qualifications:
- 7+ years of experience in technical program management.
- Bachelor's degree in a relevant field (Electrical Engineering, Computer Science, Software Engineering, etc.).
- Proficient understanding of Cloud infrastructure, Big Data, and Artificial Intelligence.
- Demonstrated experience in program management, process optimization, and influencing the adoption of defined processes across various teams.
- Strong facilitation skills to prioritize tasks, manage trade-offs, identify risks, and drive accountability.
- Ability to handle conflicts and escalations effectively.
- Experience in project planning, execution, risk management, and clear communication with business stakeholders.
- Proven ability to operate independently across multiple teams and organizations.
- Familiarity with agile methodologies and project management tools such as Jira and spreadsheets.
- Experience with at least one major cloud provider (AWS, Azure, or GCP).
Preferred Qualifications:
- Advanced technical degree (Master's or equivalent).
- Experience leading DevOps initiatives and collaborating with cross-functional teams to enhance development processes and system reliability.
- Background in incident management and root cause analysis.
- Experience in building cloud infrastructure and applications.
- Knowledge of SQL and dashboard creation.
Benefits:
- Comprehensive health coverage (medical, dental, vision).
- 401(k) Plan.
- Equity awards.
- Flexible time off policies.
- Paid parental leave.
- Family planning support.
- Gym reimbursement.
- Annual personal development fund.
- Employee Assistance Program (EAP).
- Business travel accident insurance.
- Mental wellness resources.
Compensation Transparency:
Databricks is dedicated to equitable compensation practices. The salary range for this role is reflective of base salary for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are determined by various factors unique to each candidate, including job-related skills, experience, relevant certifications, and specific work location.
About Databricks:
Databricks is a leader in data and AI solutions, trusted by over 10,000 organizations globally, including many Fortune 500 companies. Our headquarters is in San Francisco, and we were founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
Diversity and Inclusion Commitment:
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can thrive. We ensure our hiring practices are inclusive and adhere to equal employment opportunity standards.
