Manager, Account Executive - Growth Startup Sales
Dublin, IEFull-TimeManagerCustomer Acquisition
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 Manager on the Startups team at Anthropic, you'll lead a team of 5-10 Growth Account Executives responsible for driving expansion and retention across our fastest-growing startup customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups.
Responsibilities
- Lead, coach, and develop a team of 5-10 Startup Growth AEs, providing regular feedback and guidance to drive both individual and team performance
- Own team revenue targets, developing strategies to accelerate growth
- Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring
- Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio
- Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts
- Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications
- Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics
- Participate in strategic customer conversations and support Growth AEs in complex negotiations
You may be a good fit if you have
- 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams
- Proven track record of consistently exceeding team revenue targets and developing high-performing account executives
- Strong understanding of the startup ecosystem and experience working with high-growth technology companies
- Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment
- Strong analytical and problem-solving skills with a data-driven approach to decision making
- Excellence in cross-functional collaboration and stakeholder management
- Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions
- Demonstrated ability to coach and develop talent while maintaining high performance standards
- 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.
