Manager, Enterprise Sales - Life Sciences

Location: Boston, MA; New York City, NY; San Francisco, CA 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 As the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the life sciences ecosystem, spanning biotech, pharma, and medtech. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with pharmaceutical, biotech, and medical device companies. You’ll bring deep domain fluency across the segment to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior life sciences stakeholders, helping them embed and deploy AI across the product lifecycle from discovery through commercialization. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across each sub-segment. The ideal candidate has a passion for developing new market segments within life sciences, pinpointing high-potential opportunities across R&D, clinical, regulatory, manufacturing, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across biotech, pharma, and medtech organizations, you’ll help life sciences enterprises accelerate the path from science to patients while advancing the ethical development of AI. Key responsibilities Build and lead a specialized team of Strategic Account Executives covering biotech, pharma, and medtech accounts, setting growth targets by sub-segment and coaching reps through the full sales cycle from outbound to close Design and oversee sales strategies tailored to each sub-segment’s distinct procurement cycles - R&D and commercial budgeting in pharma and biotech, product development and quality budgets in medtech, and enterprise IT and digital transformation programs across all three - translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets Identify and prioritize high-potential opportunities across drug discovery, clinical development, regulatory affairs, medical affairs, manufacturing and quality (GxP), pharmacovigilance, and commercial functions, partnering cross-functionally to differentiate Anthropic’s offering for life sciences use cases Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota Serve as Anthropic’s domain expert across the life sciences value chain - including discovery research, clinical trial operations, regulatory submissions, device development and post-market surveillance, and commercial launch - and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale Partner directly with C-suite executives (CEOs, CIOs, CDOs, CSOs, Heads of R&D, CCOs) across biotech, pharma, and medtech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships Partner closely with Product and Applied AI to translate feedback from scientists, clinical operations teams, regulatory and quality leaders, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment Build strategic relationships with life sciences-focused system integrators, technology vendors, CROs, and industry organizations to scale go-to-market capabilities Establish Anthropic’s position as the AI partner of choice across life sciences through conference presentations, white papers, case studies, and participation in industry forums Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across biotech, pharma, and medtech accounts Minimum qualifications 10+ years of experience in life sciences, with at least 5 years specifically selling into or working within biotech, pharma, or medtech organizations (R&D, clinical, regulatory, manufacturing, or commercial functions, or related consulting) Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in life sciences settings Deep understanding of business models, operations, and economics across at least one of biotech, pharma, or medtech - including the regulatory environment (FDA, EMA, GxP, 21 CFR Part 11) and competitive dynamics A track record of managing or overseeing complex, multi-stakeholder sales cycles within life sciences organizations, securing strategic deals by understanding both technical requirements and scientific, regulatory, and commercial use cases Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process Excellent communication skills, with the ability to present confidently across life sciences audiences - from scientists and clinical leaders to C-suite executives A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications Deep understanding of buying cycles, decision-making processes, and key pain points across two or more of biotech, pharma, and medtech organizations A strategic, analytical approach to assessing the life sciences market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning drug discovery, clinical development, regulatory and quality, manufacturing, or commercial functions Experience building or scaling a specialized sales team from an early stage Passion for and/or experience with advanced AI systems and their applications in life sciences, with strong conviction around safe, ethical development of AI in these contexts 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: $450,000 — $550,000 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.