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Flux

AI-driven browser-based PCB design platform

Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 4 years of experience managing engineering teams, including hiring, mentorship, performance management, and retaining talent, with a track record of building high-performing cultures.
  • At least 8 years of hands-on software engineering experience before moving into management, including the ability to review pull requests, architect solutions, and engage credibly in technical discussions.
  • Experience shipping and iterating on complex, customer-facing web applications at scale under real-world deadlines and resource constraints.
  • Ability to work directly with product and design to scope and ship features, and experience influencing vice president or C-suite stakeholders to align on contested decisions.
  • Experience building AI-integrated or agentic software products in production, with full-stack capability across frontend, backend, and infrastructure.
  • A history of building from zero to one in early-stage environments and the ability to work effectively amid ambiguity.
  • Full-stack technical depth across frontend development with React, TypeScript, component architecture, performance, and design systems; backend development with Node.js, Python, API design, service reliability, and data pipelines; infrastructure including cloud platforms, containerization, continuous integration and deployment, and observability; and AI and machine learning integration including large language model products, agentic workflows, evaluation frameworks, and production AI systems.
  • Ability to write technical specifications and architectural proposals, participate in code reviews, hire and mentor engineers, scale processes, and remain engaged in technical work.
  • Experience delivering at scale under constraints, making tradeoffs between speed and technical debt, and maintaining architecture quality while guiding a team through change.
  • Ability to investigate production failures to identify root causes and build tools when suitable solutions do not exist.

Responsibilities

  • Own engineering execution and delivery across the product engineering team; set technical direction, unblock teams, maintain standards for quality, reliability, and velocity, and partner with product leadership to scope, sequence, and deliver work.
  • Define engineering standards and architectural principles, review critical designs, guide the codebase's evolution, and assess tradeoffs between shortcuts, long-term risk, and speed.
  • Build and scale the engineering function, beginning as a hands-on manager with existing reports; hire, develop, and retain engineers; and establish processes, culture, and tooling to support team growth and execution quality.
  • Represent engineering in product, design, and go-to-market discussions; translate business needs into technical direction and technical constraints into product strategy; and support organizational clarity.
  • Lead integration of AI-assisted development into daily coding, testing, and observability workflows, and set standards for building AI-integrated products responsibly and efficiently.
  • Build feedback loops to identify quality issues, reliability risks, and team health signals early, and improve engineering visibility across the organization.
  • Partner with product and design to shape products and with the founding team to define how the organization scales.

Desired Qualifications

  • Experience building or managing a team that has built large language model-integrated or agentic products in production, including at least one shipped example.
  • Full-stack fluency across frontend technologies such as React and TypeScript, backend technologies such as Node.js and Python, and cloud infrastructure such as Google Cloud Platform or Amazon Web Services.
  • Experience joining a company at Series A or earlier and helping scale its engineering team or product through significant growth.
  • Personally sourced, interviewed, and closed at least five senior engineering hires, with measurable retention outcomes.
  • Experience building internal tools, frameworks, or systems to improve team productivity.

About the Company

Flux

AI-driven browser-based PCB design platform

Flux provides an AI-powered, browser-based platform for designing PCBs. It guides from idea to manufacturable board by an AI assistant that accepts natural language prompts to generate plans, schematics, and bills of materials, and to place components and route traces, with automated design rule checks and support for up to eight layers. It includes collaboration features with version control and permissions, and integrates with distributors and manufacturers to keep sourcing in check and reduce supply-chain risks. Its goal is to make hardware development as fast and iterative as software development, enabling complex boards for IoT, wearables, and robotics while scaling AI for more advanced designs.

Company size
51-200
Company stage
Series B
Total funding
$39M
Headquarters
San Francisco, CA
Founded
2019

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