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 the Manager, Mid-Market Industries Sales, West at Anthropic, you will build and lead a verticalized sales organization targeting companies with 500–2,500 employees across Financial Services, Insurance, Healthcare, and Life Sciences. You’ll own the strategy and execution for this high-growth segment, managing a team of specialized Account Executives organized by industry vertical who navigate complex but faster-moving sales cycles with mid-market buyers.
This role requires a seasoned leader who has experienced rapid scale across multiple contexts—someone who thrives in ambiguity, builds repeatable GTM motions from scratch, and can manage both first-line leaders and managers of managers. You’ll bring 5+ years of progressive leadership experience and a proven ability to attract, develop, and retain high-performing sales talent in verticalized environments.
Your success will directly impact Anthropic’s ability to capture the enormous mid-market AI opportunity—bringing Claude to thousands of companies in regulated industries that are ready to adopt AI but need a trusted partner who understands their specific challenges. You’ll work closely with Product, Solutions Engineering, and Customer Success to ensure Claude’s capabilities meet the needs of mid-market buyers while developing scalable, repeatable sales motions across verticals.
Responsibilities:Mid Market Vertical Sales Strategy & Execution: Develop and execute go-to-market strategies for mid-market companies (500–2,500 employees) across Financial Services, Insurance, Life Sciences, and Healthcare verticals. Define segmentation, account tiering, value propositions, and competitive positioning tailored to mid-market buyer personas and purchasing dynamics.
Team Building & Leadership at Scale: Build and lead a multi-layered verticalized sales organization, managing both first-line managers and managers of managers. Recruit Account Executives with domain expertise, develop leadership bench strength, and create career paths that attract and retain top vertical sales talent in a high-growth environment.
Rapid Scale Operations: Establish and iterate on the systems, processes, and playbooks required to scale a mid-market vertical sales motion from early traction to significant revenue. Bring pattern recognition from scaling teams in prior contexts to move quickly while maintaining quality.
Pipeline & Revenue Ownership: Own pipeline development, forecasting, and quota attainment across mid-market vertical segments. Establish operational rigor in deal management, stage progression, and revenue predictability appropriate for mid-market deal velocity.
Product Partnership: Partner with Product and Research to identify mid-market-specific feature requirements, packaging needs, and integration patterns. Translate customer feedback into product inputs and collaborate on developing industry-specific Claude capabilities suited to mid-market deployment models.
Cross-functional Collaboration: Work closely with Solutions Engineering, Customer Success, Legal, Marketing, and Partnerships to build seamless customer experiences. Coordinate on mid-market demand generation, content, and enablement programs that drive vertical-specific pipeline.
Vertical Expansion: Develop frameworks and playbooks for extending vertical coverage into new industries within the mid-market segment. Identify and prioritize emerging opportunities based on market size, AI readiness, and fit with Anthropic’s mission.
You May Be a Good Fit If You:Have 10+ years of enterprise/mid-market sales experience with at least 5 years in sales leadership roles, including experience managing both first-line managers and managers of managers
Have experienced rapid scale in multiple contexts—you’ve built teams from small to large, launched new segments or territories, and know what it takes to go from 0-to-1 and 1-to-100
Have a proven track record of building and scaling verticalized sales teams selling to mid-market companies (500–2,500 employees), ideally at high-growth technology companies
Have domain expertise in at least one of the core verticals (FSI, Insurance, Life Sciences, Healthcare) with understanding of how mid-market buyers in these industries evaluate and adopt technology
Are skilled at translating technical AI capabilities into vertical-specific value propositions that resonate with mid-market buyers who may have less technical sophistication than enterprise counterparts
Have experience building repeatable sales processes, playbooks, and enablement programs that allow teams to scale efficiently
Are comfortable operating in ambiguous, fast-changing environments while maintaining operational discipline and forecasting accuracy
Are passionate about AI’s potential to transform industries responsibly, with a commitment to Anthropic’s mission of developing safe and beneficial 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.
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.
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.
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
-
Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
-
Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
-
Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
Anthropic Insights
Similar Jobs
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.
