Account Coordinator

Posted Yesterday
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New York, NY
In-Office
223K-290K Annually
Mid level
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
As an Account Coordinator for Healthcare & Life Sciences, you'll support Account Executives in the sales process by managing administrative tasks and aiding in client onboarding, ensuring a smooth transition for enterprise clients using Anthropic's AI products.
Summary Generated by Built In
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.

Account Coordinator, Healthcare & Life Sciences (HCLS)
About the role

As an Account Coordinator, Healthcare & Life Sciences at Anthropic, you'll play a crucial role in supporting our Healthcare & Life Sciences Enterprise Account Executives as they drive the adoption of safe, frontier AI by securing strategic deals with top enterprises. You'll be responsible for managing the administrative and operational aspects of the sales process, ensuring smooth onboarding of large enterprises to Anthropic's family of models and enterprise products. Your work will be essential in freeing up time for Enterprise Account Executives to focus on strategic activities such as crafting proposals, pitching custom solutions, and building relationships with prospects.

Responsibilities:
  • 70% Deal Support: Support Account Executives throughout the sales cycle, from initial prospect engagement to successful onboarding

  • 30% Acquisition Sales: Win new business and drive revenue for Anthropic within the healthcare and life sciences sector. You'll own the full sales cycle, from first outbound to close

  • Coordinate and manage compliance reviews with potential prospects, ensuring all necessary documentation is completed accurately and efficiently

  • Handle security questionnaires, working with internal teams to gather and provide required information

  • Manage legal redlines on our terms of service, liaising between prospects and Anthropic's legal team to address concerns and facilitate agreement

  • Assist in the onboarding process for new enterprise clients, ensuring a smooth transition from sales to implementation

  • Maintain accurate and up-to-date records in our CRM system, providing regular reports on pipeline status and account activities

  • Collaborate with cross-functional teams including legal, security, product and partnership teams to address client needs and resolve issues

  • Develop and maintain a deep understanding of Anthropic's products, services, and value proposition to effectively communicate with clients and internal stakeholders

  • Identify process improvements and contribute to the development of best practices for the sales and onboarding processes

You may be a good fit if you have:
  • 3+ years of experience in a sales support, account management, or customer success role, preferably in the technology or SaaS industry

  • Strong organizational skills with the ability to manage multiple projects and priorities simultaneously

  • Excellent communication skills, both written and verbal, with the ability to interact professionally with clients and internal teams

  • Attention to detail and a commitment to accuracy in all aspects of work

  • Experience with CRM systems and proficiency in Microsoft Office or Google Workspace

  • A basic understanding of enterprise software sales cycles and contract processes

  • Familiarity with compliance and security requirements in healthcare and life sciences (e.g., HIPAA, FDA regulations, GxP)

  • Adaptability and a proactive approach to problem-solving in a fast-paced environment

  • A passion for AI technology and its potential impact on healthcare, pharmaceutical research, and patient outcomes

  • Bachelor's degree in Business, Biology or Biomedical Engineering preferred

  • Ability to work independently while also collaborating effectively as part of a team

  • Interest in learning about advanced AI systems and contributing to their safe and beneficial development in healthcare settings

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:
$222,800$290,000 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

Top Skills

Crm Systems
Google Workspace
MS Office
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The Company
HQ: San Francisco, California
57 Employees

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.

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