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Anthropic

Partner Manager, Microsoft Co-sell

Posted One Month Ago
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In-Office
Seattle, WA, USA
215K-300K Annually
Entry level
In-Office
Seattle, WA, USA
215K-300K Annually
Entry level
Own Anthropic’s Microsoft co-sell motion by creating joint sales plays, mapping target accounts, connecting sellers, managing Azure Marketplace transactions, tracking pipeline, escalating blockers, and reporting performance to executives. The role also leads a major Microsoft initiative and brings field insights to product and go-to-market teams.
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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

Claude is available to enterprises through Microsoft Foundry, and the Microsoft partnership has become one of our most important paths to market. Many of the largest enterprises in financial services, healthcare and life sciences, and the public sector buy Microsoft first, and we want Claude to be the obvious choice when they do.

As Partner Manager for Microsoft Co-Sell, you will turn that partnership into pipeline and closed revenue. You will build and run joint sales plays with Microsoft's field organization, connect Anthropic account executives with their Microsoft counterparts on shared target accounts, and make sure deals that start in a co-sell conversation actually close through Azure Marketplace. You will own your work end to end, from the details of a single stuck deal to the executive readout on how the partnership is performing.

Key responsibilities
  • Own the co-sell engine day to day: design joint sales plays with Microsoft around the strongest enterprise use cases, run account mapping with Microsoft sellers, and turn introductions into working groups and joint opportunities that show up as pipeline
  • Keep deals moving through Azure Marketplace, including private offers, billing setup, and partner attribution; track every opportunity through that process, know where it is stuck and who needs to act, and work with both sides until it closes
  • Run the regular pipeline and escalation rhythm with Microsoft
  • Give Anthropic and Microsoft leaders a clear view of what is working and what is blocked
  • Bring field insight back to our product and go-to-market teams
  • Own at least one major joint initiative with Microsoft, such as a flagship event, a product workstream, or deal operations
Minimum qualifications
  • Experience owning a revenue or pipeline number through a partner or co-sell motion, with results you can point to
  • Working knowledge of how enterprise deals transact through a cloud marketplace, including hands-on experience unblocking stuck deals
  • Strong attention to detail and operational rigor, with the ability to turn that detail into a clear, concise story for executives
  • A record of taking full ownership of your work: closing loops and keeping stakeholders informed proactively
  • Ability to keep a stalled deal or program moving through repeated blockers until it is resolved
  • Ability to build trust across a large, matrixed partner organization, with field sellers and their leaders alike
Preferred qualifications
  • Experience selling or partnering around AI, ML, or developer platform products
  • Direct experience with Microsoft's partner ecosystem, such as Partner Center, Azure Marketplace, and the co-sell program
  • Experience selling into financial services, healthcare and life sciences, or the public sector

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:
$215,000—$300,000 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.

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.

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