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Sales & Customer Success

Mid-Market Account Executive, Tech

Anthropic · San Francisco, CA / New York City, NY

Sales & Customer SuccessSan Francisco, CA / New York City, NY$290,000 – $380,000 USD
RemoteJobs editorial overview

Strategic Overview

Mid-Market Account Executive, Tech at Anthropic is a sales-support opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as Run an end-to-end sales cycle, from first outbound to launch Win new business and expand existing accounts.

The role is listed for San Francisco, CA / New York City, NY with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusSales & Customer Success
LocationSan Francisco, CA / New York City, NY
Experience4+ years
Salary$290,000 – $380,000 USD
PostedJan 21, 2026
Last seenOct 25, 2026
Role context

About This Role

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.

What the role delivers

Key Responsibilities & Objectives

  • Run an end-to-end sales cycle, from first outbound to launch
  • Win new business and expand existing accounts
  • Build and execute sales strategies that drive quota attainment. Identify market opportunities, generate pipeline, and drive revenue
  • Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups
  • Excellent communication skills with the ability to build trust and credibility with C-level executives
  • A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Compensation & benefits

Salary & Benefits

Published compensation: $290,000 – $380,000 USD

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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 a Mid-Market Account Executive on Anthropic's High Tech team, you'll drive the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies, unlocking new value streams throughout their business. The role sits at the intersection of consultative selling and technical fluency, helping customers empower their workforce, accelerate processes, and build products with Claude. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the ecosystem.

You will be contributing to the GTM strategy for our High Tech team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated.

Responsibilities:

  • Run an end-to-end sales cycle, from first outbound to launch

  • Win new business and expand existing accounts

  • Build and execute sales strategies that drive quota attainment. Identify market opportunities, generate pipeline, and drive revenue

  • Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions

  • Leverage your technical aptitude to earn credibility with engineers, product leaders, and executives

  • Shape product roadmaps by gathering customer feedback and translating market needs into actionable insights for Product and Engineering teams

  • Contribute to the Mid-Market GTM strategy by sharing learnings, refining playbooks, and identifying process improvements that make the team more effective

You may be a good fit if you have:

  • 4+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach

  • Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process

  • Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups

  • Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders

  • Excellent communication skills with the ability to build trust and credibility with C-level executives

  • Experience automating workflows or building automations to handle the repeatable components of a sales process

  • A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

  • Location: This role does require being in office 4x a week in one of our hubs

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:
$290,000—$380,000 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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This sales-support opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Run an end-to-end sales cycle, from first outbound to launch — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencygreenhouse

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.