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.
Alongside our model releases, Anthropic ships a steady stream of launches across the rest of the portfolio — products like Claude, Claude Code, and the developer platform; solutions for enterprises and startups; and the safeguards work that keeps Claude safe and trustworthy. Each launch brings product, engineering, policy, legal, communications, sales, and every part of marketing together around a single moment.
You'll be the central organizer of the product launch process for the product marketing team. You'll build and run the operating system behind it: the launch calendar, the plan of record for every deliverable, the path materials take through review, and execution on launch day. You'll treat the launch process itself as a product and drive adoption through influence.
In a portfolio this broad, not everything can get the same attention, so you'll focus your time on the team's top priorities, putting the most energy behind the launches that matter most and keeping the rest running on the systems you've built.
This is a hands-on, high-ownership role on a lean product marketing team. When launch volume peaks, you'll contribute directly as a product marketer across all products and surfaces. If you've run launches where many moving parts had to converge at the same time, and you'd rather design the system than run it by hand, we'd like to meet you.
Key responsibilitiesServe as one of the core organizers of the product launch process end to end: collaborating with peers across product, operations, and GTM
Own the product launch calendar and sequencing across a broad portfolio of releases — products, solutions, and programs — prioritizing your time against the team's top priorities and coordinating timing with partner teams across marketing, product, and communications
Own the plan of record for each launch, like deliverables, owners, dependencies, and deadlines, and surface risks early enough to act on them
Own the path launch materials take through review, partnering with legal, policy, product, and communications so reviews happen in the right sequence against dates people can plan to
Drive decisions and alignment across senior cross-functional stakeholders without direct authority
Own launch-day execution: sequencing, timing, access, and the operational readiness of everything that goes live together
Own the internal resources our field teams reach for first, along with the operational side of enablement, including scheduling, speakers, and materials logistics
Develop and improve launch processes, playbooks, and operational frameworks that scale beyond any one launch
Own launch retrospectives, recurring product communications, and — when volume requires it — launch materials themselves
Have owned launch or release operations end to end, and been accountable for launches landing on time and in good shape
Have built or substantially improved a launch or release process
Treat process as a product — you care whether people adopt what you build, and you measure it
Background in product marketing, product operations, technical program management, and launch production all fit
Work well when priorities and timelines shift, and can keep a complex plan coherent as details change
Are effective at driving decisions across senior stakeholders without direct authority
Have a technical background with the ability to understand and communicate complex AI concepts to both technical and non-technical audiences
Write clearly, and can produce launch-ready material
Are energized by ambiguity and moving fast in a rapidly evolving market
Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
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.
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.
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.
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 Problems in AI Safety, and Learning from Human Preferences.
Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Skills Required
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Field of study relevant to the role (demonstrated via coursework, training, or experience)
- Minimum years of experience (correlates with internal job level requirements)
- Ability to work from San Francisco or New York office at least 2 days per week (hybrid requirement)
- Experience owning launch or release operations end to end and delivering launches on time
- Technical background with ability to understand and communicate complex AI concepts to technical and non-technical audiences
- Effective at driving decisions and alignment across senior cross-functional stakeholders without direct authority
- Strong written communication and ability to produce launch-ready materials
- Ability to work well when priorities and timelines shift and keep complex plans coherent
- Experience building or substantially improving a launch or release process; background in product marketing, product operations, technical program management, or launch production
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
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Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
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Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
Anthropic Insights
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
