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Remote Industrial Engineering Manager Jobs in San Ramon, CA

cfo.ai

⚙️ Engineering Manager

San Francisco, CA · On-site +1

We're remote-first, so you can work from anywhere in North America. However, we also believe in the ... What you'll do You'll lead and scale our engineering team during a critical growth phase. This ...

Vercel

Engineering Manager, CDN

San Francisco, CA · On-site +1

$196K - $336K/yr

About You: * 8+ years building and operating large-scale distributed systems * 3+ years managing engineers (managing managers is a plus) * Demonstrated success leading CDN/proxy/caching/edge or ...

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All JobsIndustrial Engineering JobsRemote Industrial Engineering Manager JobsRemote Industrial Engineering Manager Jobs in San Ramon, CA

Remote Industrial Engineering Manager information

See San Ramon, CA salary details

$67.6K

$130.3K

$181K

How much do remote industrial engineering manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote industrial engineering manager in San Ramon, CA is $130,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What does a remote industrial engineering manager do?

A Remote Industrial Engineering Manager oversees engineering teams and projects focused on optimizing production processes, reducing waste, and improving overall efficiency—all while working remotely. They coordinate with cross-functional teams, set project goals, and implement best practices in industrial engineering from a distance using digital tools. Their responsibilities include managing team performance, ensuring project timelines are met, and integrating new technologies or methodologies. Effective communication and strong leadership skills are essential for success in this remote role.

What are the key skills and qualifications needed to thrive as a remote industrial engineering manager?

To thrive as a Remote Industrial Engineering Manager, you need a solid background in industrial engineering principles, process optimization, and project management, typically supported by a relevant engineering degree and several years of leadership experience. Familiarity with Lean Six Sigma methodologies, simulation software, and collaborative project management platforms is commonly required. Strong communication, leadership, and problem-solving skills are essential for managing distributed teams and driving operational improvements. These capabilities are critical to ensure efficient processes, effective remote leadership, and successful project outcomes in a virtual environment.

How do remote industrial engineering managers effectively lead and coordinate geographically dispersed teams?

Remote Industrial Engineering Managers typically leverage a combination of digital collaboration tools, regular video meetings, and clear documentation to coordinate projects and maintain team cohesion. They focus on establishing transparent communication channels and well-defined project milestones to ensure all team members are aligned, regardless of location. Managers may also implement agile methodologies and performance tracking systems to monitor progress and quickly address any obstacles. Building trust and fostering a culture of accountability is crucial to successfully managing remote industrial engineering teams.

What is the difference between Remote Industrial Engineering Manager vs Industrial Engineer?

AspectRemote Industrial Engineering ManagerIndustrial Engineer
CredentialsBachelor's/Master's in Industrial Engineering or related field, management experienceBachelor's in Industrial Engineering or related field
Work EnvironmentRemote, overseeing teams and projectsOn-site or hybrid, focusing on process improvement and analysis
Employer & Industry UsageManufacturing, logistics, consulting firmsManufacturing, healthcare, supply chain companies

The Remote Industrial Engineering Manager typically has management responsibilities, overseeing teams remotely, while the Industrial Engineer focuses on analyzing and improving processes, often working on-site. Both roles require a background in industrial engineering, but the manager's role emphasizes leadership and remote coordination.

What are popular job titles related to Remote Industrial Engineering Manager jobs in San Ramon, CA?

For Remote Industrial Engineering Manager jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Remote Industrial Engineering Manager jobs in San Ramon, CA look for?

The top searched job categories for Remote Industrial Engineering Manager jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Remote Industrial Engineering Manager jobs?

Cities near San Ramon, CA with the most Remote Industrial Engineering Manager job openings:

Remote Industrial Engineering Manager jobs near you

Onsemble Engineering Manager- Fully Remote

hajoca

San Francisco, CA • Remote

Full-time

Posted 29 days ago

Hajoca rating

7.1

Company rating: 7.1 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

241st of 429 rated retail wholesalers

Job description

Are you a software engineer looking to make a real-world impact? Are you eager for an opportunity to shape the use of modern AI-native software? Are you a hands-on leader with an ownership mindset? If so, then we’d like you to join our dedicated team as Onsemble Engineering Manager.   

About the Role: 

The Onsemble Engineering Manager leads product development across our contractor-facing platform. Partnering closely with Product and Business leadership, they translate real customer needs into reliable, scalable software – all while building and supporting a small, high-leverage engineering team.  

This is a hands-on leadership role is accountable for execution, technical direction, and team health, while still staying close enough to the codebase and architecture to evaluate and guide technical decision making. 

In this role, you will: 

  • Lead Our Engineering Team

    • Hire, manage, mentor, and develop a small team of engineers, helping them grow in impact and autonomy.

    • Set clear performance expectations and goals surrounding ownership, delivery, and collaboration, and conduct regular performance evaluations to assess progress and provide feedback.

    • Actively practice and model AI-enabled software development in day-to-day work, using modern coding assistants and agentic tools to design, build, review, and ship production software.

    • Coach and mentor junior and senior engineers on their career, including responsible AI tool adoption to increase leverage, velocity, and quality while reinforcing strong engineering judgment and ownership.

    • Create an environment where engineers can move quickly without sacrificing quality or judgment. Setting aside time for the team to learn from mistakes and drive better business outcomes.

  • Drive Product Initiatives & Execution

    • Own the delivery of key product initiatives end-to-end, from discovery through launch and iteration.

    • Partner with Product to scope work, sequence builds, and make thoughtful tradeoffs between speed, quality, and durability.

    • Ensure the platform evolves in a way that supports increasing scale, complexity, and customer adoption.

    • Act with urgency, being responsive to important and time-sensitive matters and owning their resolution.

  • Set the Technical Direction

    • Set the technical direction for an AI-driven development model, where large portions of production code are authored, refactored, and tested with AI assistance.

    • Actively use and guide the team on tools like Claude Code and similar agentic coding systems to increase leverage, velocity, and code quality –while maintaining strong human judgment around architecture, correctness, and long-term maintainability.

    • Guide architecture and technical decisions across frontend and backend systems.

    • Maintain a high bar for code quality, reliability, and maintainability.

    • Ensure AI-enabled features are built responsibly, pragmatically, and in ways that deliver real customer value.

  • Ensure Operational Excellence

    • Improve development workflows, tooling, and processes to increase team velocity.

    • Identify risks early and address them through planning, communication, and technical strategy.

    • Act as a steady execution partner to leadership as the product scales. 

  • Successfully complete required safety and compliance training programs as assigned.

  • Perform other reasonably related duties as assigned by immediate supervisor and other management as required.
 
 Our Stack: 

  • Frontend: React, TanStack Query, Vite, TypeScript

  • Backend: Node.js, Express.js, TypeScript; serverless and API-based services

  • Data: PostgreSQL (via Supabase), Drizzle ORM

  • Infra: Supabase; Heroku; AWS (including Lambda for async and integration workflows)

  • Auth: Clerk

  • AI: Claude-based integrations and internal tooling; GPT-5 for search 
 
About You: 

  • Bachelor's Degree in Computer Science, Data Science, or the equivalent combination of education, professional training, or work experience.

  • 3 or more years of professional software engineering experience.

  • 1 or more years in a technical leadership or engineering management role (formal or informal).

 
 

Our ideal candidate will also: 

  • Have a strong background and familiarity with AI-assisted software development; modern web applications, with deep familiarity in React / Node.js ecosystems, and Claude Code.

  • Possess a solid understanding of backend APIs, data models, and system integrations.

  • Be comfortable making architectural decisions and explaining tradeoffs.

  • Have experience with the shipping production software used daily by real customers.

  • Demonstrate a practical orientation toward AI: using it to increase leverage and velocity, not novelty.

  • Have a strong ownership mindset with the ability to take responsibility for outcomes, not just tasks.

  • Be a clear communicator who proactively aligns engineers, product, and stakeholders.

  • Be a calm, pragmatic leader who thrives in ambiguity and fast-moving environments.
  • Demonstrate excellent interpersonal skills and the ability to work effectively across all levels of the businessas well as with external vendors.

  • Be able to research, analyze data and solvecomplextechnical andprocess-relatedproblems.

  • Have strong attention to detail and the ability to meetdeadlines.
 

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