Enterprise Account Manager

ChalkSan Francisco, CA
$180,000 - $250,000

About The Position

As an Enterprise Account Manager, you will own commercial growth and long-term revenue outcomes across Chalk’s enterprise customer base. This is not a traditional renewals or farming role. Chalk is an early-stage, consumption-based ML infrastructure company. Revenue growth depends on helping customers identify, launch, and scale high-value production use cases. You will work closely with customers, Forward Deployed Engineering, Product, and Sales to expand Chalk’s footprint across strategic accounts. You will be responsible for building executive relationships, developing account plans, identifying expansion opportunities, forecasting consumption growth, managing renewals, and turning successful use cases into broader enterprise adoption.

Requirements

  • 5+ years of experience in Account Management, Strategic Account Management, Customer Success, Sales, or related enterprise GTM roles.
  • Experience owning expansion, renewal, or consumption growth targets.
  • Background in technical B2B software, ideally infrastructure, data, AI/ML, developer tools, cloud, security, or enterprise platforms.
  • Proven ability to grow strategic accounts through multi-threading, account planning, executive engagement, and use-case expansion.
  • Comfort working with technical stakeholders, including ML engineers, data engineers, platform teams, architects, and engineering leaders.
  • Strong commercial judgment and negotiation skills.
  • Excellent written and verbal communication.
  • Ability to thrive in a fast-moving, high-accountability environment.
  • You have experience managing and growing enterprise software or infrastructure accounts.
  • You understand that expansion in technical products is earned through adoption, value, trust, and execution — not just relationship management.
  • You are commercially sharp and comfortable leading pricing, renewal, and expansion conversations.
  • You can operate with technical depth and credibility across ML, data, infrastructure, developer tools, cloud, or enterprise software environments.
  • You are highly structured: you build account plans, inspect pipeline, manage next steps, and forecast carefully.
  • You are comfortable in an early-stage company where the playbook is still being built.
  • You can work cross-functionally without needing perfect role clarity.
  • You are direct, accountable, and customer-obsessed.
  • You know how to balance strategic enterprise relationship-building with hands-on execution.

Nice To Haves

  • Experience with consumption-based, usage-based, or platform revenue models.
  • Experience selling or expanding into ML, AI, data infrastructure, cloud, or developer ecosystems.
  • Experience at an early-stage or high-growth startup.
  • Familiarity with modern ML workflows, feature platforms, real-time data, model serving, or production AI systems.
  • Experience building account management processes, playbooks, or operating rhythms from scratch.

Responsibilities

  • Own post-sale commercial outcomes for a portfolio of enterprise customers, including expansion, renewal, retention, and consumption growth.
  • Build and execute strategic account plans that map customer priorities, technical use cases, stakeholders, budgets, buying centers, and expansion paths.
  • Partner with Forward Deployed Engineering to move customer use cases from early deployment into production and scaled usage.
  • Identify new use cases, teams, business units, and workloads where Chalk can create measurable value.
  • Build trusted relationships with technical champions, business owners, procurement teams, and executive sponsors.
  • Forecast expansion, renewal, and consumption growth with rigor and accuracy.
  • Lead commercial conversations around renewals, expansions, pricing, packaging, and enterprise agreements.
  • Develop a deep understanding of each customer’s ML infrastructure, production workflows, data architecture, and business objectives.
  • Surface customer patterns, blockers, and product feedback to leadership and Product.
  • Help define the playbook for account management in a high-growth, consumption-based ML infrastructure company.
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