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Mux Jobs in San Rafael, CA (NOW HIRING)

AI Fund

Founding Engineer (AI-Native)

San Francisco, CA · On-site

$120 - $150/hr

Extend the mobile web creator upload flow with Mux: QR → prompt → record/upload → consent → submit * Turn raw buyer video into structured product evidence at scale: AI extraction, review ...

career

Founding Engineer (AI-Native)

San Francisco, CA · On-site

Extend the mobile web creator upload flow with Mux: QR prompt record/upload consent submit * Turn raw buyer video into structured product evidence at scale: AI extraction, review/approve/publish, and ...

career

Founding Engineer (AI-Native)

San Francisco, CA · On-site

Extend the mobile web creator upload flow with Mux: QR - prompt - record/upload - consent - submit * Turn raw buyer video into structured product evidence at scale: AI extraction, review/approve ...

career

Founding Engineer (AI-Native)

San Francisco, CA · On-site

Extend the mobile web creator upload flow with Mux: QR → prompt → record/upload → consent → submit * Turn raw buyer video into structured product evidence at scale: AI extraction, review ...

Sanity

Software Engineering Manager, Web

San Francisco, CA · On-site

$230K - $260K/yr

... Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 250 ...

Speakeasy

Forward Deployed Engineer

San Francisco, CA · On-site

$100 - $150/hr

Experience with code generation, transpilation, synthesis, or building/extending core web frameworks like Axios, tRPC, Mux, etc. * Bonus: Expertise with OpenAPI, codemods, linters, building SDKs, or ...

All JobsMux JobsMux Jobs in San Rafael, CA

Mux information

See San Rafael, CA salary details

$45

$66

$93

How much do mux jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for mux in San Rafael, CA is $66.74, according to ZipRecruiter salary data. Most workers in this role earn between $50.91 and $80.67 per hour, depending on experience, location, and employer.

What is a Mux?

A Mux, short for multiplexer, is a device or software component that selects one of several input signals and forwards the selected input to a single output line. In the context of technology and media streaming, Mux often refers to a service or tool that helps manage, encode, and deliver video streams efficiently over the internet. Companies like Mux provide APIs and platforms that make it easier for developers to integrate video streaming and analytics into their applications. The term can also refer to hardware devices used in networking and telecommunications to combine multiple signals for transmission over a single channel.

What are the key skills and qualifications needed to thrive as a Mux engineer, and why are they important?

To thrive as a Mux engineer, you need strong programming skills (commonly in JavaScript, Node.js, or Python), a solid understanding of video streaming protocols, and a background in computer science or a related field. Experience with tools like Mux Video API, cloud platforms (AWS, GCP), and CI/CD systems is typically required. Excellent problem-solving, collaboration, and communication skills help you navigate complex streaming challenges and work effectively with cross-functional teams. These abilities are crucial for developing scalable, reliable video infrastructure that meets user demands in dynamic, high-traffic environments.

What are some common challenges faced by engineers working with the Mux video platform, and how can they be addressed?

Engineers working with the Mux video platform often face challenges such as optimizing video streaming quality across varying network conditions, integrating Mux APIs seamlessly into existing tech stacks, and ensuring low-latency delivery for live and on-demand content. These challenges can be addressed by closely following Mux's API documentation, leveraging built-in analytics to monitor performance, and collaborating with cross-functional teams like product and design to align on user experience goals. Staying updated with Mux’s latest features and best practices also helps engineers proactively solve potential issues and deliver high-quality video solutions.

What is the difference between Mux vs Video Editor?

AspectMuxVideo Editor
Required CredentialsTechnical knowledge of streaming, coding, and media processingVideo editing software proficiency, creative skills
Work EnvironmentTech companies, media streaming platforms, development teamsMedia production, advertising agencies, film studios
Industry UsageMedia streaming, live video platforms, cloud servicesFilm, TV, online content creation

While Mux focuses on media infrastructure, encoding, and streaming technology, Video Editors are responsible for editing and assembling video content. Both roles are essential in media production but serve different functions within the industry.

What cities near San Rafael, CA are hiring for Mux jobs?

Cities near San Rafael, CA with the most Mux job openings:

Mux jobs near you
Infographic showing various Mux job openings in San Rafael, CA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $138,813 per year, or $66.7 per hour.

Founding Engineer (AI-Native)

San Francisco, CA • On-site

AI Fund
Investment Clubs and Venture Capital Companies • 11 - 50 employees
Learn more about AI Fundexternal

$120 - $150/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Who we are

Vidably is building the evidence layer for commerce: verified buyer video, structured with AI, and tied to outcomes. UGC video contains more product truth than specs, studio media, or text reviews because it shows fit, feel, use‑case, and tradeoffs in real contexts. It is how people actually decide what to buy.

Today, the most impactful buyer video lives on platforms like TikTok and Reels, disconnected from product pages, outcomes, and brand control. Vidably brings that content onto owned commerce surfaces, uses AI to turn it into structured, SKU‑level evidence, and measures what actually drives conversion. We share incremental value with creators, which unlocks far more high‑quality buyer video and a system that learns what matters for each product.

This is the missing input for shopping agents. The same signals humans use to buy confidently are the signals an agent needs to recommend, compare, and explain products with real evidence, not guesswork.

Vidably is backed and supported by AI Fund. Founded by Andrew Ng, AI Fund is backed by over $370 million. As a venture studio, AI Fund works alongside entrepreneurs, venture funds, and corporate partners to build new companies rapidly and increase their odds of success.

About the role

This is a hands‑on, jump‑into‑anything role on a small, talented team. You'll help build the AI‑powered evidence layer for commerce, making Vidably self‑serve and reliable across real Shopify storefronts. Candidates must currently be based in the Bay Area. Relocation will not be an option for this role.

Responsibilities for the Role Include:
  • Build and ship across the full stack: Shopify app, storefront widget, AI extraction pipeline, internal tooling
  • Harden a live Shopify app and storefront integration across OS 2.0 and legacy theme realities with safe rollouts and easy rollback
  • Extend the mobile web creator upload flow with Mux: QR → prompt → record/upload → consent → submit
  • Turn raw buyer video into structured product evidence at scale: AI extraction, review/approve/publish, and self‑serve tooling
What Success Looks Like:
  • Onboarding new customers becomes boring and repeatable
  • Founder minutes per merchant drops materially because workflows are productized
  • We can scale customers without bespoke engineering per store
Required Qualifications Include:
  • You've shipped to production across the stack and you close loops fast — you design, build, debug, and operate
  • Strong fundamentals: performance, reliability, security, and product/UX judgment (especially on conversion‑sensitive surfaces)
  • AI‑native builder: you ship production code with agentic tools (Cursor, Claude Code, Codex CLI, similar).
  • You use AI for speed, keep quality high with tests/CI/observability, and can debug when AI output is wrong
  • Thrive in ambiguity and a very small‑team environment.
  • You're excited to learn new tools and domains fast, and you jump into whatever needs doing
Nice to Have Skills Include:
  • Shopify apps/theme integration experience, or embedded widget/SDK experience in hostile third‑party environments
  • Video pipeline familiarity (Mux or similar)
  • Experimentation/analytics rigor: clean event design, integrity checks, debugging
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