Emerging Account Executive– Startups
San Francisco, CAFull-TimeMid-levelAccounts / Finance
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 an Emerging Account Executive at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth.
- The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles.
Responsibilities
- • Manage a portfolio of 40-50+ startup accounts, maintaining high retention and identifying expansion opportunities
- • Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base
- • Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate
- • Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization
- • Conduct streamlined account health checks and identify early warning signs of churn risk
- • Partner with customers to understand their business models and AI use cases, gathering feedback to inform product development
- • Collaborate with Applied AI and other cross-functional teams to support customer technical needs
You may be a good fit if you have
- • 1-3 years of experience in sales, account management, customer success, or related roles
- • Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously
- • Strong communication skills with ability to build rapport quickly across various customer personas
- • Analytical mindset with comfort using data to prioritize accounts and identify trends
- • Enthusiasm for emerging technologies and genuine interest in AI
- • A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments
Strong candidates may have
- • Experience with consumption-based or usage-based pricing models
- • Familiarity with technical products, APIs, or developer-focused solutions
- • Experience working with startup customers or in a high-growth startup environment
- • Exposure to AI/ML concepts and applications
- 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.
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.
