Level

Anthropic

Channel Partner Manager, Public Sector

AI in this role

ai-safetyai-research

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

Anthropic sells Claude through partners as well as directly. In the public sector, those partners matter more than anywhere else. As Channel Partner Manager, Public Sector, you will own Anthropic's reseller and distributor relationships across US federal, state and local government, and you will build the operations that let those partners transact with us quickly and cleanly.

Your time will be split roughly evenly between two kinds of work. The first is partner management. You will be the primary Anthropic contact for our public sector partners, agree on a joint plan with each of them, and work with our public sector account teams so that partner and direct motions support each other rather than collide. The second is channel operations. You will onboard new partners, instance an agreement for each of them, run deal registration, administer rebates, and keep the program's processes and records in order.

Every partner adds a fixed amount of operational work regardless of revenue, so the processes you build will determine how quickly public sector customers can buy. Much of this does not exist at Anthropic yet, and building it to a standard our partners and teams can rely on will be a large part of your first year.

You will work closely with Legal, Finance and with our public sector sales team on pipeline. You will also work with the public sector teams at the cloud providers and through cloud environments that meet federal security requirements such as FedRAMP.

Key responsibilities

  • Own Anthropic's relationships with our public sector partners, acting as their primary point of contact and building relationships with their public sector and alliance leadership
  • Agree on a joint business plan with each partner covering target segments, contract vehicles, pipeline, enablement and marketing, and run regular business reviews against it
  • Work with our federal, state and local, and education account teams to align partner and direct motions, clear conflicts early, and route each opportunity through the right partner and contract vehicle
  • Run partner onboarding end to end, from application and diligence through agreement execution, enablement and a first transaction
  • Own partner agreements with Legal, keeping contract vehicle coverage and program terms current
  • Own deal registration for the public sector channel, making sure registrations are submitted, validated and conflict cleared, and that every deal names its end customer
  • Manage partner rebates and program incentives with Finance
  • Build and run the channel's operating processes, including quoting, order handling and partner reporting, with clear service levels and documentation
  • Work with the cloud providers' public sector teams so that partner deals run cleanly through cloud marketplaces and authorized cloud environments
  • Forecast and report partner sourced pipeline and resale revenue for the public sector channel, and own that number with the reseller program and public sector sales leadership
  • Own partner escalations end to end, from billing and contracting questions to deal conflicts, and resolve them with the right internal owner
  • Represent what public sector partners and buyers need to the central reseller program team, and feed what you learn back into how the program works

Minimum qualifications

  • 7+ years in channel, partner or alliances roles in enterprise software or cloud, including at least 3 years focused on the US public sector
  • Direct experience managing reseller or distributor relationships that sell to government or education buyers
  • Working knowledge of how public sector buyers purchase technology, including contract vehicles, two-tier distribution, and the role of resellers in public procurement
  • Working fluency in channel program mechanics, including deal registration, partner onboarding, margin and rebates
  • Experience running channel or partner operations, including agreements, program administration, reporting, and the systems behind them
  • Experience building processes and working rhythms from zero, and comfort joining a new program early
  • Clear written and spoken communication with Legal, Finance and Sales teams, and the judgment to hold program rules under commercial pressure
  • Excitement about Anthropic's mission to develop AI that is safe and beneficial

Preferred qualifications

  • Experience with FedRAMP and with selling software that runs in authorized cloud environments
  • Experience with federal, state and education contract vehicles
  • Experience with cloud marketplace resale for public sector buyers, including private offers
  • Experience on the reseller or distributor side of a vendor relationship, as well as the vendor side
  • Familiarity with how government agencies and education institutions are evaluating and adopting AI

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.

How we rate this

Channel Partner Manager, Public Sector at Anthropic rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI SafetyAI Research

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Tell me about a research question you investigated. What did you find?

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  • List these exact terms on your resume: AI Safety and AI Research. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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