Anthropic GTM Director 2026 - US
Remote · United States
Job Summary
Go-to-Market Leader for Aimpoint Digital's Anthropic partnership, responsible for building and scaling the commercial motion around Claude-enabled enterprise AI. Own the GTM plan, priority market plays, target accounts, solution plays, pipeline goals, enablement priorities, and success metrics. Serve as primary relationship lead between Aimpoint Digital and Anthropic GTM stakeholders, collaborating with marketing, delivery, product, and executive teams to develop joint value propositions and drive measurable revenue growth. Create reusable IP, solution accelerators, reference architectures, and playbooks; coordinate account planning, pursuits, and client introductions; manage internal pipeline reviews and executive alignment; stay current on Anthropic product roadmap and governance considerations; act as an internal evangelist to educate consultants and delivery teams on Claude value and opportunities. Remote, full-time role within the United States with Atlanta as a potential HQ reference.
Required Qualifications
- 10+ years of experience in strategic alliances, GTM strategy, technology consulting, enterprise sales, partner sales, or related commercial roles
- Demonstrated experience building alongside hyperscaler, AI model provider, or modern data platform GTM teams
- Strong understanding of enterprise consulting services, including how advisory, implementation, managed services, and solution engineering work are sold and delivered
- Proven ability to develop GTM plans, account plays, partner strategies, business cases, enablement materials, market-facing content, and executive-ready communications
- Track record of driving qualified pipeline, shaping pursuits, influencing revenue, and partnering with partner sales teams or account leaders to progress opportunities
- Strong relationship management skills with the ability to build trust across technology partners, executives, field sellers, technical stakeholders, marketing, and delivery teams
- Working knowledge of enterprise AI adoption patterns, including use-case identification, data readiness, governance, security, AI risk, model evaluation, human-in-the-loop design, and value measurement
- Experience developing or commercializing offerings related to GenAI strategy, AI agents, enterprise copilots, knowledge assistants, workflow automation, AI governance, or AI operating models
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