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Podcast Assistant Jobs (NOW HIRING)

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Podcast Assistant information

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How much do podcast assistant jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for podcast assistant in the United States is $20.32, according to ZipRecruiter salary data. Most workers in this role earn between $12.74 and $25.00 per hour, depending on experience, location, and employer.

What is a Podcast Assistant job?

A Podcast Assistant supports the production and management of a podcast by handling tasks such as audio editing, scheduling, guest coordination, and content research. They may also help with social media promotion, writing show notes, and ensuring episodes are published on time. Their role is to streamline the workflow so the host or production team can focus on creating great content. Skills in organization, communication, and basic audio editing are often required.

What are the typical daily responsibilities of a Podcast Assistant?

As a Podcast Assistant, your daily tasks often include scheduling interviews, coordinating recording sessions, managing podcast-related emails, and assisting with episode research and show notes. You may help edit audio clips, update podcast platforms, and handle promotional content across social media or other distribution channels. Collaboration with hosts, producers, and sometimes external guests is common to ensure episodes are well-prepared and deadlines are met. This role is dynamic and often requires you to juggle several tasks while adapting to changing production needs, making strong organizational skills a must.

What are the key skills and qualifications needed to thrive in the Podcast Assistant position, and why are they important?

To thrive as a Podcast Assistant, you need strong organizational abilities, attention to detail, and a basic understanding of audio editing, typically coupled with experience in media production or communications. Familiarity with tools like Adobe Audition, Audacity, podcast hosting platforms, and possibly content management systems is often required. Excellent communication, time management, and problem-solving skills help podcast assistants coordinate schedules and manage tasks efficiently. These skills and qualities are crucial for ensuring smooth podcast production, meeting deadlines, and supporting the broader creative goals of the team.

More about Podcast Assistant jobs
What cities are hiring for Podcast Assistant jobs? Cities with the most Podcast Assistant job openings:
What are the most commonly searched types of Podcast jobs? The most popular types of Podcast jobs are:
What states have the most Podcast Assistant jobs? States with the most job openings for Podcast Assistant jobs include:
Infographic showing various Podcast Assistant job openings in the United States as of July 2026, with employment types broken down into 39% Full Time, 44% Part Time, 6% Temporary, and 11% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $42,269 per year, or $20.3 per hour.

Senior Backend Engineer - Podcast

Spotify

Remote

$164K - $234K/yr

Other

Medical, Retirement, PTO

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


Job description

The Podcast Mission develops strategies and builds products that serve creators and listeners interested in podcast and video content. As the #1 podcast platform in the world, we look to continue improving and scaling the experience of podcasts on Spotify. We build and maintain products like Spotify for Podcasters, Megaphone, and Chartable, and are always eager to provide creators with easy ways to increase their audiences on Spotify and give them new innovative means for monetization.
Midas owns the Spotify for Creators systems that help podcast creators control and enrich how their content appears on Spotify. We build creator-facing surfaces and backend services for merchandising asset features like transcripts, chapters, clips, previews, and more - giving creators the ability to manage how these assets are presented across Spotify.
Our scope is expanding into a new generation of personalized podcast experiences. We recently introduced a system that generates brief, personalized podcast episodes for listeners based on their context and the world around them. As part of the team, you'll help evolve these early generated-content experiences into durable, production-grade systems that can scale to millions of listeners and creators worldwide.
What You'll Do
  • Lead the design and evolution of backend services that generate, distribute, and support personalized podcast episodes at scale
  • Help transform MVPs and prototypes into reliable production systems with clear APIs, durable data flows, strong observability, and thoughtful operational patterns
  • Shape the technical direction for agentic workflows and help establish quality and reliability standards for AI-generated content systems
  • Build and improve creator merchandising features in Spotify for Creators, including podcast chapters, transcripts, previews, clips, guests, topics, thumbnails, and more
  • Collaborate with engineers, product managers, designers, and cross-functional stakeholders across Spotify missions to align on requirements and deliver integrated experiences
  • Partner closely with product and design to iterate on ideas, unblock technical exploration, and make pragmatic tradeoffs that balance experimentation with long-term maintainability
  • Mentor engineers across the team and help raise the quality of technical design discussions, RFCs, reviews, and operational practices
  • Contribute to a culture of experimentation, ownership, collaboration, and continuous learning

Who You Are
  • You have 5+ years of experience building and operating production backend systems using Java, Kotlin, Scala, Go, or similar languages
  • You are experienced with distributed systems concepts including asynchronous processing, queues/pub-sub systems, idempotency, service-to-service APIs, storage design, failure handling, and observability
  • You have hands-on experience with, or strong curiosity about, LLM-powered applications and agentic workflows
  • You know how to navigate ambiguity while maintaining strong engineering discipline and production reliability
  • You care deeply about the user experience for creators and listeners, not just the technical implementation
  • You communicate clearly across technical and non-technical audiences and collaborate effectively across teams
  • You have experience mentoring engineers and helping teams improve engineering quality and operational maturity
  • You care about building inclusive, maintainable systems and collaborative team environmentsBonus Points
    • Experience with Python, prompt iteration and evaluation, tool use, or production AI workflows
    • Experience with GCP, GKE, Cloud SQL/Postgres, BigQuery, Bigtable, GCS, or Grafana
    • Experience productionizing research projects, prototypes, or experimental systems
    • Familiarity with podcast ecosystems, creator tooling, merchandising assets, or personalization systems
    • Experience working on content quality, recommendation, or generated media systems

Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
  • This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $164,448 - $234,926 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice