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Engineering Manager

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Mixpeek
Full Time position
Listed on 2026-07-22
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software), Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Why Flux

Flux is taking the hard out of hardware. To do this, we’re building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise.

We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and Git Hub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission.

What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started.

Engineering Manager

Flux
· San Francisco, CA
· In-Office
· Senior Level

We are looking for an experienced engineering leader to own how software gets built  will set the technical bar for our product engineering teams, drive architectural decisions across the stack, and ensure we are shipping with the speed and quality this moment demands. You will partner closely with product and design to shape what we build, and with the founding team to define how we scale.

This is a high-impact role for someone who has shipped complex software at scale, thrives in ambiguity, and leads by doing. You will be close to the code, close to the team, and close to the customer. We move fast and with intensity. This role calls for someone who brings deep technical authority and the willingness to push — through ambiguity, through disagreement, through a product that is constantly evolving.

What

You'll Do
  • Own engineering execution Drive delivery across the product engineering team. Set technical direction, unblock teams, and hold the bar on quality, reliability, and velocity. Partner with product leadership to scope, sequence, and ship work that moves the needle.

  • Be the technical standard-bearer Define what good engineering looks like ablish architectural principles, review critical designs, and ensure the codebase evolves with intention. Push back when shortcuts create unacceptable long-term risk — and know when speed is the right call.

  • Build and scale the engineering function Start as a hands-on manager with existing reports. Hire, develop, and retain exceptional engineers. Build the processes, culture, and tooling that allow the team to scale without losing execution quality.

  • Drive cross-functional alignment Serve as the engineering voice in product, design, and go-to-market conversations. Translate business needs into technical direction and technical constraints into product strategy. Ensure engineering is never a bottleneck to organizational clarity.

  • Develop AI-native engineering practices Flux is building AI and using AI. Lead the team in integrating AI-assisted development into daily workflows — from coding to testing to observability. Set the standard for how we build AI-integrated products responsibly and at speed.

  • Amplify team signal Build feedback loops that surface quality issues, reliability risks, and team health signals early. Champion engineering visibility across the organization and ensure the team's work is understood and valued.

What You'll Bring

Full-stack technical depth You have built and shipped complex software products. You are comfortable spanning:

  • Frontend:
    React, Type Script, component architecture, performance, and design systems

  • Backend:
    Node.js, Python, API design, service reliability, and data pipelines

  • Infrastructure: cloud platforms (GCP/AWS), containerization, CI/CD, observability

  • AI/ML integration: LLM-integrated products, agentic workflows, evaluation frameworks, and production AI systems

Engineering leadership at multiple altitudes You write clean technical specs and compelling architectural proposals. You can sit in a deep-dive code review and then walk into a product strategy conversation. You hire, mentor, and scale processes while staying close to the work. You push back when you disagree — with data, clearly — and you update your view when someone makes a better argument.

Execution under pressure You have shipped…

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