Podcast Media Manager

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing.

In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution.

Key responsibilities

Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches

Lead podcast strategy flights for major campaigns end to end, from planning through reporting

Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others

Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us

Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social

Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points

Manage voice-actor reads and QA spots before they air

Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience

Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas

Track pacing across buys and shift budget as performance data comes in

Present results and learnings back to the team on a regular basis

Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives

Minimum qualifications

Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget

Have managed podcast programs in-house directly, not only through an agency

Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each

Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas

Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale

Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations

Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy

Work well across many partner teams and can build repeatable processes that scale

Enjoy shaping a program from the ground up rather than maintaining an existing playbook

Are excited about Anthropic's mission to develop AI that is safe and beneficial

Preferred qualifications

Experience negotiating year-long or multi-format partnerships with top shows or networks

A background in copywriting or close collaboration with creative teams on host-read scripts

Familiarity with B2B audiences and enterprise-focused podcast buys

Experience with podcast measurement, attribution, and incrementality testing

Relationships with major audio publishers, networks, and independent hosts

Experience extending podcast partnerships into video, social, or live formats

Familiarity with AI products or the broader developer and knowledge worker audience

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$200,000 — $255,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Prob