Customer Success Manager, Beneficial Deployments Life Sciences
San Francisco, CA - USA
Job Summary
Anthropics 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.
Anthropics 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.
Join Anthropic as a Customer Success Manager for Life Sciences. Youll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery such as research institutes academic medical centers and scientific foundations. Youll help these organizations harness the full potential of Claude through deep product expertise use case discovery and hands-on guidance.
Youll be part of a Research and Life Sciences account team pod working as one team with your Account Executive and Applied AI partners. Together youll shape account strategy with you taking the lead on adoption change management and value realization.
This role doesnt follow a single playbook. Youll run a range of Customer Success motions from deep 1:1 strategic partnership to one-to-many programs like webinars hackathons and cohort-based enablement. Youll choose the motion based on top account and customer priorities and the best way to solve for them.
The insights you gather will directly inform our research priorities product development (including how Claude for Life Sciences evolves) and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society.
- Build trusting strategic relationships with research leaders scientists principal investigators and program directors to understand their scientific priorities organizational goals and impact objectives
- Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans bringing in Product Support and other teams as needed
- Run the right Customer Success motion for each account and customer priority whether thats dedicated 1:1 engagement cohort-based onboarding hackathons and build days office hours or researcher communities
- Become an expert in Anthropics products especially Claude for Science guiding organizations and their researchers and scientists to the right solutions and most impactful use cases
- Monitor usage patterns and proactively drive adoption identifying optimization opportunities and new applications for Claude across your book of business
- Develop and execute change management strategies suited to scientific and academic cultures including Train the Trainer programs Center of Excellence development and enablement that respects partner capacity governance requirements and decision-making processes
- Guide partners through the technical and governance foundation for launch including SSO and provisioning workspace configuration and data handling considerations for research and health data (such as HIPAA IRB and institutional data policies)
- Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized such as research productivity time-to-insight and cost savings and partner with Marketing on success stories and reference accounts
- Establish the repeatable playbooks templates and health metrics that define what great looks like for customer success in life sciences at Anthropic
- 6 years of experience in Customer Success Technical Account Management Solutions Engineering or consulting
- 3 years of experience in life sciences research with exposure to new technologies as a catalyst for accelerating progress
- Experience working directly with life sciences organizations such as academic research institutions research institutes foundations biotech or pharma and familiarity with how scientific research is conducted funded and governed
- An understanding of the regulatory risk and compliance needs of the industry
- Experience driving success across both consumption-based and seat-based business models with an understanding of the expansion levers and success metrics for each
- Experience managing dedicated strategic accounts and delivering one-to-many programs with the judgment to choose the right motion for the customer priority at hand
- Strong cross-functional collaboration skills including working as part of an account team with Sales and technical partners and advocating effectively for customer needs
- Technical fluency in AI/ML concepts API integrations and software implementation patterns and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types research workflows or bioinformatics tooling is a strong plus
- A data-driven AI-first way of working using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners
- Passion for both AI and accelerating scientific progress with a strong interest in ensuring frontier AI systems are developed safely ethically and deployed to benefit society
- A knack for bringing order to chaos and an enthusiastic roll up your sleeves mentality. You are a true team player
The annual compensation range for this role is listed below.
For sales roles the range provided is the roles 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:
$200000 - $265000 USD
Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit 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. Were 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.
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 aboutour policy for using AI in our application process.
Required Experience:
IC
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.