at Anthropic
Location
New York City, NY; San Francisco, CA
Compensation
$290k–$435k USD
Type
full time
Posted
5 months ago
Remote
Yes
Market range · company + function + seniority
p25 · target · p75 · n=44
Posted $435k · well above market
Posting health
Aging · 65Tailor your résumé to this role in 30 seconds.
Free account · ATS keyword check · per-job bullet rewrite by Claude.
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.
As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to life sciences organizations. You'll drive the adoption of safe, frontier AI by securing strategic deals with pharmaceutical companies, biotechnology firms, and research organizations across the life sciences industry. You'll leverage your consultative sales expertise in life sciences to propel revenue growth while becoming a trusted partner to industry stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with life sciences decision-makers.
The ideal candidate will have a passion for developing new market segments within pharmaceutical, biotechnology, and research organizations, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help life sciences enterprises obtain new capabilities while also advancing the ethical development of AI.
Win new business and drive revenue for Anthropic within the life sciences industry, focusing on pharmaceutical companies, biotechnology firms, and research organizations. Navigate complex life sciences organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from outbound to close.
Design and execute innovative sales strategies tailored to life sciences procurement cycles, R&D budgeting processes, and regulatory considerations to meet and exceed revenue quotas. Analyze life sciences market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns.
Spearhead market expansion by identifying new use cases within research departments, clinical development teams, regulatory affairs, medical affairs, and commercial organizations. Collaborate cross-functionally to differentiate our offerings for life sciences applications.
Inform product roadmaps and features by gathering feedback from life sciences users including researchers, scientists, regulatory professionals, and commercial leaders, conveying market needs. Provide insights that strengthen our value proposition for life sciences organizations.
Continuously refine the life sciences sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across pharmaceutical, biotech, and research organizations.
5+ years of enterprise sales experience in life sciences, with demonstrated success covering pharmaceutical companies, biotechnology firms, and/or research organizations
A track record of managing complex sales cycles within life sciences organizations and securing strategic deals by understanding both technical requirements and scientific/regulatory use cases
Extensive experience negotiating complex agreements within life sciences procurement frameworks, including understanding of R&D budget cycles and compliance requirements
Proven experience exceeding revenue targets in the life sciences sector by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various life sciences audiences, from researchers and scientists to R&D leadership and C-suite executives
Deep understanding of life sciences buying cycles, decision-making processes, and key pain points across pharmaceutical, biotech, and research organizations
A strategic, analytical approach to assessing the life sciences market combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems and their applications in life sciences. You feel strongly about ensuring frontier AI systems are developed safely and ethically for scientific and clinical applications
Ability to develop and refine life sciences use cases for AI in collaboration with customers and channel partners, with particular focus on drug discovery, clinical development, regulatory submissions, and commercial operations
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.
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.
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.
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.
More open roles at Anthropic
Hiring velocity, headcount trend, and every open posting on one page.
Open postings ranked by description similarity — useful if this role isn't quite right.