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Engineering Manager, Remix

Via Transportation - San Francisco, CA, USA - Hybrid - posted 2026-10-19

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Salary: USD 215,000 - 265,000 / annual

Via Transportation is building the technology backbone for modern public transit networks globally. The Remix team creates transit planning and scheduling tools that help cities design smarter, more equitable transportation systems. As Engineering Manager on the Remix team, you will lead a full-stack engineering team building fixed-route and on-demand scheduling and optimization applications. These tools enable transit planners to explore network concepts, model scenarios, and communicate their vision to stakeholders. You'll own the technical direction of a product that combines complex geospatial data, rich React UIs, and algorithmic optimizations—balancing performance, usability, and reliability across the full stack. Key responsibilities include: - Leading and growing a team of full-stack engineers - Owning technical direction and architectural decisions for scheduling and optimization applications - Partnering with product managers, designers, and customers to understand planner workflows and translate insights into engineering priorities - Mentoring engineers at all levels through 1:1s, career development, and fostering a culture of ownership and feedback - Driving improvements to engineering processes, code review standards, and CI/CD pipelines - Collaborating with other engineering teams across Via on shared infrastructure and APIs as the platform scales globally You'll work hybrid with the expectation of being onsite in San Francisco 2-3 days per week. REQUIREMENTS: - Minimum 8+ years of software engineering experience with strong full-stack foundation - Frontend experience with TypeScript/React; backend experience with Rails, Python, or similar - Proven experience managing engineering teams and building environments where engineers thrive - Production application experience including on-call, deployments, and production maintenance - Comfort making technical decisions in complex, data-rich domains - Understanding of databases, performance tradeoffs, and reliability at scale - Leadership approach grounded in curiosity and empathy - Motivation by real-world impact and ability to bring that energy to your team

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