Rerun
Artificial Intelligence • API • SaaS
Rerun is an innovative company that provides an open-source data stack specifically designed for Physical AI. It focuses on log handling and visualization for spatial and embodied AI, offering managed infrastructure to ingest, store, analyze, and stream data efficiently. With an easy-to-use SDK, Rerun simplifies data modeling and allows users to gain insights through powerful visualizations and debugging tools, making it an essential platform for developers working in AI and robotics.
Head of Engineering
Job not on LinkedIn
September 13
Rerun
Artificial Intelligence • API • SaaS
Rerun is an innovative company that provides an open-source data stack specifically designed for Physical AI. It focuses on log handling and visualization for spatial and embodied AI, offering managed infrastructure to ingest, store, analyze, and stream data efficiently. With an easy-to-use SDK, Rerun simplifies data modeling and allows users to gain insights through powerful visualizations and debugging tools, making it an essential platform for developers working in AI and robotics.
📋 Description
• Drive technical trade-offs and engineering execution — partner with Product and Architecture leadership to turn product strategy into executable plans, scope projects, manage milestones, and balance speed, quality, and sustainability. • Build and shape the engineering org — design structures, processes, team structure, and performance systems. • Manage and grow people — run 1:1s, give feedback, implement leveling and performance systems. • Recruit and hire — attract, evaluate, and close top-tier engineering talent and hire managers over time. • Maintain technical grounding — understand product and systems, engage with code and technical reviews at a lightweight level. • Foster an energizing culture for engineering, especially in a remote-first setting. • Partner across functions — communicate trade-offs and decisions with clarity and invite constructive challenge. • Collaborate with CTO, Chief Architect, and senior engineers shaping technical direction.
🎯 Requirements
• Experience leading engineering in early-stage, high-growth startups (ideally Series A, 15–60 engineers). • Strong technical background in data infrastructure, with experience from teams building and operating critical systems (e.g. SLAs, on‑call rotations, high availability). • Ability to gather the right context to assess technical feasibility and make high-level design decisions. • Committed to customer value and business impact in roadmap delivery. • Track record of implementing processes that stick — planning cadences, performance systems, incident response, etc. • Experience hiring and managing managers, and comfort staying hands-on with direct reports until the org is ready to scale. • Strong people leadership skills, mentoring, motivating, and growing engineers; able to have hard performance conversations. • Humility and confidence to work alongside a very senior technical team. • Excellent communication skills, with bias toward clarity, curiosity, and proactive expectation-setting.
🏖️ Benefits
• Competitive cash and equity compensation. • Six weeks paid vacation. • Whatever hardware and software you need to do your job.
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