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Anthropic

Anthropic

Develops reliable, interpretable AI systems

Mid-Market Account Executive - Tech

Full-Time
$290k - $380k/yr

+ Target sales commissions/bonuses

Mid
Bachelor's
San Francisco, CA, USA+1 more

More locations: New York, NY, USA

Hybrid

This role requires working in one of the hubs four days per week.

H1B Sponsorship Available

About the job

Requirements
  • At least 4 years of enterprise sales experience driving adoption of emerging technologies through a consultative, solutions-oriented sales approach.
  • Proven experience exceeding revenue targets in fast-paced organizations while managing an evolving pipeline and sales process.
  • Demonstrated ability to navigate dynamic stakeholder ecosystems, build consensus, and provide innovative solutions to disparate groups.
  • Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders.
  • Ability to build trust and credibility with C-level executives.
  • Experience automating workflows or building automations to handle repeatable components of a sales process.
  • Passion for or experience with advanced artificial intelligence systems and a strong commitment to developing frontier AI systems safely.
  • A bachelor's degree or equivalent combination of education, training, and experience.
  • A field of study relevant to the role, as demonstrated through coursework, training, or professional experience.
Responsibilities
  • Run an end-to-end sales cycle from first outbound contact through 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 by understanding their unique needs and crafting tailored AI solutions.
  • Use 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 go-to-market strategy by sharing learnings, refining playbooks, and identifying process improvements that make the team more effective.

About the company

Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.

Company Size

5,001-10,000

Company Stage

Debt Financing

Total Funding

$182.8B

Headquarters

San Francisco, California

Founded

2021

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Simplify's Take

What believers are saying

  • Claude Code crossed $1 billion ARR in 2026, proving developer demand.
  • SpaceX's 300-megawatt deal adds immediate capacity for Claude growth.
  • Anthropic's $965 billion valuation and $65 billion raise fund aggressive scaling.

What critics are saying

  • The $1.5 billion copyright settlement exposes training-data liability across future lawsuits.
  • Google's $40 billion investment and Amazon's $20 billion expansion increase customer concentration.
  • Safety rhetoric collides with biolab scrutiny, creating reputational and regulatory backlash risk.

What makes Anthropic unique

  • Claude Code Projects coordinates parallel sessions with persistent project memory.
  • Anthropic pairs frontier-model research with safety, interpretability, and product shipping.
  • Amazon, Google, and SpaceX partnerships secure compute and distribution advantages.

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Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

3%

2 year growth

2%
TechCrunch
Sep 18th, 2026
Anthropic confirms it operates wet biology lab to run AI-driven physical experiments

Anthropic has confirmed it operates a wet biology lab where its AI models conduct physical experiments. The company's head of life sciences, Eric Kauderer-Abrams, told Reuters the lab functions like most biotech facilities, conducting some in-house research whilst collaborating with external partners. The lab emerged from Anthropic's April acquisition of Coefficient Bio, a stealth AI biotech startup. Anthropic declined to specify the lab's focus, except to say it isn't working on drug discovery, likely to avoid competing with pharmaceutical customers and partners like Novo Nordisk. The lab's existence has drawn scrutiny given recent warnings from Anthropic researchers about AI's existential risks. CEO Dario Amodei recently called for industry self-regulation, repeatedly citing bioterrorism as one of AI's biggest threats.

Greylock Partners
Sep 18th, 2026
Anthropic | Greylock

AI research and products that put safety at the frontier.

Yahoo Finance
Sep 18th, 2026
AI labs must hit $180B revenue run rate by year-end to justify trillion-dollar capex buildout, says Nvidia investor

Brad Gerstner, founder of Altimeter Capital, says leading AI labs must increase their combined annual revenue from roughly $100 billion to at least $180 billion by year-end to sustain the AI trade. Speaking at the All-In Summit, he called AI lab revenue "the single most important data point in the market today." Gerstner estimates that Anthropic, OpenAI, and xAI had a combined run rate of approximately $100 billion in July. The revenue growth is needed to support massive infrastructure spending by Microsoft and Alphabet, who are building computing capacity that AI labs rent. Altimeter held 9.41 million Nvidia shares worth $1.88 billion at 30 June, representing about 19% of its US equity portfolio. The firm also holds stakes in Anthropic and OpenAI.

The Register
Sep 18th, 2026
Claude Code's new projects feature lets users run multiple AI sessions simultaneously — but burns through usage limits faster

Anthropic has revamped projects in Claude Code, allowing users to run multiple parallel sessions for a single project. The feature, currently in beta for select Pro and Max subscribers, enables Claude to manage several related tasks simultaneously by creating separate cloud session threads, each working on its own git branch. Projects can coordinate tasks like authorization, databases, and caching concurrently. A coordinator directs the threads, surfacing overlaps as merge conflicts when necessary. Claude Code now offers five ways to run multiple tasks simultaneously, including subagents, Agent View, Agent Teams, Dynamic Workflows, and projects. Anthropic warns that projects consume tokens quickly since each thread represents a full Claude Code session. Team and Enterprise plans don't yet have access. Anthropic reportedly posted $11.5 billion in Q2 revenue, with adjusted operating profit excluding stock-based compensation.

Business Insider
Sep 17th, 2026
OpenAI launches Astra for Law to compete with Anthropic in legal AI market

OpenAI launched Astra for Law on Thursday, its artificial intelligence offering tailored for legal work. The product includes plugin tools, enhanced legal case search capabilities, and custom model adjustments for building applications. The launch targets the legal technology industry and America's 200 largest law firms. It follows OpenAI's recent ChatGPT for Financial Services release and mirrors a similar legal product Anthropic introduced in May. Astra for Law runs on OpenAI's most advanced model, customised to reduce hallucinations and improve legal reasoning by grounding responses in case law. The tool generates responses twice as long as standard Astra outputs. Legal technology companies including Harvey, Legora, and Thomson Reuters can integrate the tool into their products through available plugins. OpenAI plans to add a citations feature developed for its financial services product.