Account Manager Lead - Corporate

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and ...

We have expanded from voice into three main platforms:

ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

As the Corporate Account Manager Lead, you'll lead a team of Account Managers across our highest-velocity, highest-volume post-sales segment. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value across a large, fast-moving book of accounts.
This is a revenue-critical role at an inflection point: ElevenLabs is scaling fast, and Corporate is where that scale shows up first - more accounts, more velocity, and less room for anything that doesn't repeat well. The decisions you make around segmentation, playbook design, and how AI agents and automation get embedded into everyday AM workflows will define how this motion performs as volume keeps growing. Making ElevenAgents the agent of choice across the Corporate portfolio is a core part of that expansion playbook.
Lead, coach, and develop a high-performing Corporate Account Management team, owning team quota performance, retention, expansion, and cross sell goals across a high-volume book of business.
Drive revenue outcomes as a core mandate - building a team culture where expansions and cross-sells are owned with the same rigor as any quota-carrying sales function.
Design and implement repeatable, scalable playbooks for renewals, expansion, and adoption that hold up across hundreds of accounts, not just a handful.
Embed AI agents and automation into AM workflows by default, so the team can manage growing volume without simply adding headcount.
Champion AI fluency across the team: set expectations, build capability, and create an environment where every AM is actively experimenting with and adopting AI-powered approaches to their work.
Set strategic direction for how the Corporate segment is structured and staffed as the business scales, partnering closely with RevOps, Comp/Finance, and CX leadership.
Represent the voice of the customer in leadership discussions, influencing roadmap, tooling, and revenue strategy.

5+ years of experience in Account Management, Sales, Customer Success, or post-sales roles within SaaS, ideally with meaningful exposure to high-volume, transactional or corporate-segment books of business.
Proven track record of owning and exceeding revenue targets (renewals, expansion, NRR/GRR, cross sell), with a clear commercial instinct.
2+ years of direct people leadership experience - managing AMs/CSMs, driving team quota, and developing talent through coaching and enablement. Passion for building a high-performance, feedback-driven culture grounded in accountability and customer impact.
Deep AI fluency: you use AI tools in your own daily workflow, understand what AI agents and automation can do, and are ready to lead a team through a meaningful shift in how work gets designed and executed.
Strong player-coach mindset: comfortable managing accounts directly while leading others to excel in their own portfolios.
Expertise in post-sales methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling) adapted for a high-volume, scaled motion.
Strategic operational thinking: able to make sound calls on segmentation, playbook design, and process at scale as account volume grows.
Strong analytical and operational skills: adept at using data to identify performance trends, optimize workflows, and forecast outcomes across a large book.
Bonus: Hands-on with tools (ElevenLabs, Salesforce, Gong, Lemlist, Sigma) and capable of improving data quality, visibility, and usage insights across the team.