Product Manager, Multi-Cloud Growth - Google

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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

The Anthropic Platform Org’s mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.

The platform team is comprised of three key areas:

• Enterprise fabric – where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements.
• Frontier capabilities – where we are building developer experiences and features that enable users to get the most out of the model and build at the very frontier of intelligence.
• Agentic platform – where we are inventing the next generation of agentic infrastructure for production-grade use and building new products to enable businesses to solve problems with agents.

Responsibilities:

Customer Understanding & Advocacy

• Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points
• Run regular feedback sessions and technical reviews with key enterprise customers
• Build strong relationships with enterprise development teams to understand their workflows and challenges
• Transform customer insights into actionable product requirements and priorities

Product Strategy & Vision

• Define and execute the enterprise API strategy, balancing security requirements with developer experience
• Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities
• Identify and prioritize key enterprise integration patterns that drive organizational value

Enterprise API Development

• Partner with engineering to build enterprise-grade API features, security controls, and deployment tools
• Design and implement enterprise integration frameworks and SDKs for common enterprise systems
• Drive development of industry-specific API features and compliance capabilities

Cross-functional Leadership

• Partner with sales and customer success to understand enterprise requirements and support technical evaluations
• Work closely with security and compliance teams to meet enterprise standards
• Collaborate with platform teams on API architecture and scalability
• Engage with marketing to develop enterprise API positioning and technical materials

You may be a good fit if you:

• Have 10+ years of experience in high-scale, high-reliability developer-facing software.
• Have 5+ years of product management experience.
• Have built or shipped products with a hyperscaler as a partner — you know how to align goals and deliver impact across that boundary.
• Have owned a revenue number, a margin target, or a channel P&L — not just a product roadmap.
• Operate with high autonomy in ambiguous, fast-moving environments.
• Are an excellent written communicator and able to drive clarity out of complexity.
• Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organization.

Strong candidates may also have:

• Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.
• Direct experience as a PM at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces.

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:

$305,000—$385,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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.

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 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