Software Engineering Manager (Data)

Join Sift, a cutting-edge technology company, as a Software Engineering Manager (Data). In this hands-on leadership role, you will manage and build a high-performing engineering team, collaborate with product and go-to-market teams to define technical roadmaps, and ensure the team delivers best-in-class results. You will also establish and refine engineering processes, actively engage with the architecture and codebase, and contribute to high-impact features. This role is ideal for someone with a background in aerospace, AI, or robotics who loves working on the cutting edge of science and technology.

• Lead and manage a team of high-performing engineers to develop and maintain core data pipelines, ensuring best-in-class results.
• Collaborate with Product and Go-To-Market teams to define technical roadmaps and ensure alignment with business goals.
• Actively engage in architecture and codebase, contributing to high-impact features and resolving critical technical challenges.
• Leadership: Proven ability to guide teams through ambiguity and a track record of being a "force multiplier" for engineering talent
• Experience: 7+ years in software engineering with 2+ years in a people management role
• 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
• 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
• Experience in Aerospace, Autonomous Vehicles, Robotics, Defense or Energy
• Background in Data Science, Statistics or other academic fields that work with data
• Experience in leading AI-first teams and AI initiatives
• Experience in building UI and customer-facing dashboards for interacting with data