Sr Manager, Software Engineering (Operational Data Enablement)

Full-time - Manager

Seattle, WA

About the position

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our diverse team of problem solvers as we add new chapters to the history of spaceflight! This position will directly impact the history of space exploration and will require your commitment and detailed attention towards safe and repeatable space flight. Join us in lowering the cost of access to space and enabling Blue Origin’s vision of millions of people living and working in space to benefit Earth. This role is part of Enterprise Technology (ET), where we’re developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin’s mission. We are seeking a Sr. Manager of Software Engineering for Operational Data Enablement to lead a high-impact software engineering team focused on enabling data-driven decision-making across the enterprise. This role will drive the design, development and automation of many efforts including: Developing scalable, resilient, and efficient Operational Data Platforms, Enhancing Operational Insights and Automation through the Data Lake, Implementing Knowledge Graph solutions, and Advancing Enterprise Search and AI-driven Data Tooling.

Responsibilities

• Build, mentor, and manage a team of ten software and data engineers to develop cloud-native, automation-first data solutions.
• Partner with enterprise stakeholders – including SLT, Product, and Technology teams – to align data initiatives with strategic business goals.
• Spearhead platform performance improvement initiatives, optimizing query performance and data processing times.
• Champion the integration of data assets within the data platform (Databricks/ Palantir) to foster a culture of data-driven decision-making.
• Build self-service data tools that empower user groups to leverage structured and unstructured data effectively.
• Implement real-time monitoring, automated anomaly detection and proactive data issue resolution frameworks.
• Drive the integration of Knowledge Graphs for AI-powered search, retrieval-augmented generation (RAG), and real-time data enrichment.
• Drive commercialization of data capabilities where applicable, ensuring data solutions align with long-term business sustainability.
• Foster a culture of continuous improvement, documentation and best practices in enterprise data management.
• Implement intelligent monitoring, automated failure recovery and predictive scaling using observability tools.
• Work with practitioners and customers to develop new ways to federate analysis, operational application development and enable a 'shift left' philosophy to data ownership.

Requirements

• B.S. in Computer Science or related field.
• 8 years of experience writing production-grade code in a modern programming language.
• 3 years of people management experience.
• Experience with Python, Java, or Scala for data processing and automation.
• Experience hiring top talent and driving career growth for early-in-career and senior engineers.
• The ability to set ambitious goals with measurable results and familiarity with frameworks such as OKRs.
• Experience working with product managers to collaboratively set a vision.
• Hands-on experience with one or more of Spark, Databricks, Palantir, Kafka, Flink, ML Flow or similar technologies.
• Deep understanding of modern data architecture, including data lakes, and real-time streaming.
• Clear understanding of the software development lifecycle from reviewing requirements to debugging sophisticated systems in production.
• Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.
• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Nice-to-haves

• Experience implementing Machine Learning (ML) & AI-driven data automation.
• Knowledge of graph databases, knowledge graphs, or linked data principles.
• Familiarity with commercializing data products or driving revenue through data monetization strategies.

Benefits

• Medical, dental, vision, basic and supplemental life insurance.
• Paid parental leave.
• Short and long-term disability.
• 401(k) with a company match of up to 5%.
• Education Support Program.
• Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
• Discretionary bonus designed to reward individual contributions as well as allow employees to share in company results.