GTM Director
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Job Description
Go-to-Market Leader at Aimpoint Digital, leading commercial strategy for Anthropic partnership. Driving AI solutions and pipeline development within the organization.
Responsibilities:
- Partner with our Head of AI GTM on the commercial strategy and execution plan for Aimpoint Digital's Anthropic partnership.
- Serve as a primary relationship lead between Aimpoint Digital and Anthropic GTM stakeholders.
- Partner with Aimpoint Digital practice leaders to define market-ready Claude and agentic AI offerings.
- Develop joint value propositions that connect Anthropic capabilities with Aimpoint Digital's strengths.
- Drive pipeline creation and progression by coordinating account planning, pursuit strategy, sales plays, and demos.
- Build and run the operating cadence for the Anthropic partnership, including internal pipeline reviews and partner touchpoints.
- Collaborate with marketing to develop targeted campaigns, events, and workshops.
- Help develop reusable intellectual property and implementation playbooks.
- Stay current on Anthropic's product roadmap and other key areas.
Requirements:
- 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.
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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