Software Engineering Manager, Sift

• Experience: 7+ years in software engineering with 2+ years in a people management role
• Education: Bachelor’s degree in Computer Science, STEM, or a related field
• Software Development: Strong experience with distributed systems and web applications using Go, Rust, or Python
• Data Expertise: Experience with in-stream processing (Apache Kafka, Flink, Beam). Familiarity with specialized databases like PostgreSQL, Druid, Pinot, or Timescale. Expertise in data exploration tools such as Grafana or Jupyter Notebooks
• Leadership: Proven ability to guide teams through ambiguity and a track record of being a "force multiplier" for engineering talent

Desirable

• We are looking for a hands-on Software Engineering Manager to lead our Data Platform. You will lead the engineering teams that develop and maintain our core data pipelines, including ingestion, storage, processing, querying, APIs and documentation for interacting with our data systems
• Our data infrastructure must work flawlessly in the cloud, on-prem and in air-gapped deployments. Data forms the backbone of Sift and this role is incredibly important to our mission. We serve customers across a wide-spectrum of industries building next-generation machines that demand high-performance for mission critical operations
• This role will report directly to the VP of Engineering and is ideal for someone with a background in aerospace, AI or robotics and loves working on the cutting edge of science and technology
• Leadership: Manage and build a team of high-performing engineers, provide mentorship and guidance to accelerate their growth
• Strategy: Collaborate with our Product and our Go-To-Market teams to define technical roadmaps
• Execution: Ensure the team delivers best-in-class results at high velocity while continuously raising the bar for quality and performance
• Process Excellence: Establish and refine engineering processes, agile rituals and use of AI to accelerate development and expand our core capabilities
• Hands-on Contribution: Actively engage the architecture and codebase, contribute to high-impact features and help resolve critical technical challenges