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Remote Audio Mix Engineer Jobs in Austin, TX (NOW HIRING)

Director of Data (Remote)

Austin, TX ยท On-site +1

$170K - $230K/yr

You'll report directly to the CGO and partner closely with Marketing, Product, Engineering ... Develop MMM (Marketing Mix Modeling) in Python to inform budget allocation across nine figures of ...

Senior Technical Product Manager

Austin, TX ยท Remote

$129K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Whether you prefer the structure of an office, the convenience of remote work, or a mix of both, we ... Collaborate with engineering and platform teams on data infrastructure, tooling, and scalability

Senior Account Manager

Austin, TX ยท Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Whether you prefer the structure of an office, the convenience of remote work, or a mix of both, we ... Work cross-functionally with product, marketing, and engineering to address partner needs and ...

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one ... This role is 100% remote and available to US-based candidates. You Are * An Ecosystem Operator:

We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one ... This role is 100% remote and available to US-based candidates. You Are * An Ecosystem Operator:

Showing results 21-33

Remote Audio Mix Engineer information

See Austin, TX salary details

$29.2K

$83.7K

$170K

How much do remote audio mix engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote audio mix engineer in Austin, TX is $83,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $112,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Audio Mix Engineer, you need a solid background in audio engineering principles, critical listening skills, and experience with music production, often supported by formal training or a relevant degree. Proficiency with industry-standard digital audio workstations (DAWs) like Pro Tools or Logic Pro, as well as familiarity with plugins and remote collaboration platforms, is essential. Strong communication, time management, and attention to detail help you effectively coordinate with clients and deliver high-quality mixes on schedule. These skills ensure professional, consistent results and client satisfaction in remote and collaborative production environments.

How does a remote audio mix engineer typically collaborate with artists and producers during a project?

Remote Audio Mix Engineers often use cloud-based platforms and video conferencing tools to facilitate real-time communication with artists and producers. They exchange feedback on mixes by sharing high-quality audio files, screen sharing, and sometimes hosting remote listening sessions. Clear communication and prompt responsiveness are essential for addressing creative notes and maintaining project timelines. Building strong working relationships remotely can be challenging, but leveraging technology helps ensure everyone stays aligned on the project's vision.

What is the difference between Remote Audio Mix Engineer vs Remote Sound Designer?

AspectRemote Audio Mix EngineerRemote Sound Designer
CredentialsAudio engineering certifications, music or audio production degreesSound design courses, audio production certifications
Work EnvironmentHome studio, remote collaboration with clientsHome studio, remote or on-site for media projects
Industry UsageMusic, film, TV, advertisingVideo games, film, multimedia, advertising

The Remote Audio Mix Engineer primarily focuses on balancing and blending audio tracks to achieve the desired sound quality, often working with music, film, or broadcast projects. In contrast, the Remote Sound Designer creates unique sound effects and audio elements to enhance visual media. While both roles require strong audio skills and remote work setups, their core responsibilities and industry applications differ.

What is a remote audio mix engineer?

A Remote Audio Mix Engineer is a professional who specializes in combining and balancing individual audio tracks into a final version of a song, podcast, film, or other audio project, all while working from a location outside of a traditional studio. They receive audio files digitally from clients, use professional mixing software and hardware to enhance sound quality, and collaborate online to deliver polished audio mixes. This role requires strong technical skills, a good ear for detail, and effective communication to ensure client satisfaction. Remote mix engineers are essential in today's music and media industries, offering flexibility and access to talent regardless of location.

What are the most commonly searched types of Audio Mix Engineer jobs in Austin, TX?

The most popular types of Audio Mix Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Audio Mix Engineer jobs?

Cities near Austin, TX with the most Remote Audio Mix Engineer job openings:

Infographic showing various Remote Audio Mix Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $83,713 per year, or $40.2 per hour.

Director of Data (Remote)

Rugiet Health

Austin, TX โ€ข On-site, Remote

$170K - $230K/yr

Full-time

Posted 10 days ago


Job description

Why Rugiet
Rugiet sits at the intersection of healthcare, technology, and personalization. We're rethinking how patients access specialized treatments - with speed, discretion, and real clinical impact. Our growth is accelerating, our data volume is exploding, and our opportunities are multiplying faster than we can count them (don't worry, that's your job).
If you want to build a modern data organization from the ground up, influence product experiences, and shape how nine figures of marketing spend gets deployed - this is the rare role where your work will directly move the business, every day.
Overview
The Director of Data & Analytics is the architect and accelerator of Rugiet's entire data ecosystem - infrastructure, analytics, attribution, forecasting, and personalization. You'll lead a small, high-impact team while driving the evolution of our stack as we migrate into Snowflake and build a scalable, ML-ready foundation.
You'll report directly to the CGO and partner closely with Marketing, Product, Engineering, Operations, and Finance. This is a role for someone who can zoom between big-picture strategy and hands-on analytical depth without dropping a beat.
What You'll Do
Data Strategy, Leadership & Organizational Enablement
  • Define Rugiet's data strategy and lead the team executing it - from infrastructure to analytics to modeling.
  • Manage and develop 2 analysts/data engineers, raising the bar on analytical rigor, ownership, and output.
  • Create a transparent intake and prioritization system so stakeholders understand what's happening, why, and when.
  • Introduce higher standards for what qualifies as a data request, focusing the team on analysis over mining.
  • Champion BI self-service by training teams across the company and building intuitive, reliable dashboards that reduce dependency on analysts.

Infrastructure Ownership: Snowflake, ETL & BI Tooling
  • Lead Rugiet's migration to Snowflake and design a warehouse optimized for speed, quality, and massive growth.
  • Optimize ETL pipelines (Segment โ†’ Snowflake โ†’ BI layer) that enable near-real-time reporting where it matters.
  • Shift the company away from one-off dashboards and inconsistent models toward reusable, governed, version-controlled assets.
  • Establish data governance standards - schemas, taxonomies, naming conventions - that prevent chaos as we scale.
  • Assess long term scalability of current BI tooling and build out more robust self-service offerings for the organization to adopt for key decision making

ML, Personalization & Product Partnership
  • Partner with Product and Engineering to develop data inputs, segmentation logic, and feature sets used in personalization and ML-driven experiences.
  • Translate behavioral and lifecycle data into algorithm-ready structures that improve retention, engagement, and patient outcomes.
  • Ensure data pipelines and infrastructure support scalable training, monitoring, and continuous optimization of ML models.

Growth & Retention Analytics (Attribution, LTV, Forecasting)
  • Build LTV models and LTV curves sliced by acquisition channel, offer, audience, and treatment category.
  • Create daily multi-touch attribution reporting and cut reliance on costly external tools by bringing core capabilities in-house.
  • Build Rugiet's retention OKRs and dashboards within BI tools - with intuitive views for the whole business.
  • Attribute cancellations and churn to specific lifecycle, email, and SMS campaigns with clarity and statistical rigor.
  • Architect and analyze A/B tests across the site, funnel, CRM, and product experience - unblocking high-conversion opportunities.
  • Develop MMM (Marketing Mix Modeling) in Python to inform budget allocation across nine figures of annual spend.
  • Partner with Finance on forecasting models for demand, inventory, and revenue planning.

What You Bring
  • 10+ years in Data & Analytics with 2+ years leading teams; strong preference for high-growth DTC or telehealth experience.
  • Hands-on mastery of modern data stacks:
    • Warehousing: Snowflake (or equivalent)
    • ETL/Pipelines: Segment, Fivetran, dbt, or similar
    • BI: Domo (strong preference), Looker, Mode
    • Analytics: GA4, Segment, Mixpanel
    • Attribution: Northbeam, MTA structures, familiarity with MMM
  • Advanced SQL and strong data-modeling discipline - you build scalable foundations, not just one-off queries.
  • Proven ability to turn messy data into clean insights and communicate them clearly to executives.
  • Experience enabling BI self-service and building stakeholder capability.
  • Strong understanding of data governance and privacy/security practices.

Nice to have
  • Python or R experience for LTV modeling, churn prediction, MMM, forecasting, and ML feature engineering.
  • Experience with Blotout, Growthbook, or similar tools.
  • Background in healthcare, wellness, or subscription businesses.
  • Experience building or supporting personalization/ML systems in partnership with Product.

To Apply
  • If you are excited by the opportunity to make a significant impact on a growing healthcare company by organizing and optimizing our creative output, please submit your resume and a cover letter detailing your relevant experience and why you are a great fit for this role.