GTM Director

Aimpoint Digital

. Build, manage, and scale Aimpoint Digital's commercial motion around Anthropic and Claude-enabled enterprise AI solutions .

Posted 10/27/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in developing and executing go-to-market strategies for AI solutions, with a strong focus on relationship management and pipeline development. Capable of collaborating across teams to create market-ready offerings and drive enterprise AI adoption.

Highest-signal resume keywords

GTM Strategy DevelopmentEnterprise AI AdoptionRelationship ManagementPipeline CreationPartner Sales Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Strategic AlliancesTechnology ConsultingEnterprise SalesAccount PlanningMarket-Facing Content DevelopmentAI GovernanceWorkflow AutomationGenAI StrategySolution EngineeringImplementation Playbooks

Soft Skills

Strong CommunicationCollaborationInfluencing SkillsLeadershipClient Engagement

Tools & Technologies

AnthropicClaudeData PlatformsOperational AnalyticsDecision Intelligence

Industry Keywords

AI SolutionsEnterprise Consulting ServicesManaged ServicesHyperscaler PartnershipsAI Risk Management

About the role

Key responsibilities & impact

Build, manage, and scale Aimpoint Digital's commercial motion around Anthropic and Claude-enabled enterprise AI solutions
Create the GTM plan, identify high-value market plays, activate account teams, coordinate with technical leaders, shape client opportunities, develop reusable sales assets, and establish the partnership operating cadence
Partner with the Head of AI GTM on annual GTM planning, priority market segments, target accounts, solution plays, pipeline goals, enablement priorities, and success metrics
Serve as primary relationship lead between Aimpoint Digital and Anthropic partner, field sales, solution engineering, product, and executive stakeholders
Define market-ready Claude and agentic AI offerings with Aimpoint Digital practice leaders
Develop joint value propositions connecting Anthropic capabilities with Aimpoint Digital's AI strategy, data platforms, operational analytics, decision intelligence, optimization, and production-grade AI implementation strengths
Drive pipeline creation and progression through account planning, pursuit strategy, sales plays, demos, executive briefings, workshops, and partner-led client introductions
Build and run internal pipeline reviews, partner touchpoints, QBRs, executive alignment meetings, field enablement sessions, campaign planning, and post-sale feedback loops
Collaborate with marketing on campaigns, events, webinars, client workshops, thought leadership, and account-based marketing
Develop reusable intellectual property, solution accelerators, reference architectures, implementation playbooks, and executive narratives
Stay current on Anthropic's product roadmap, Claude capabilities, enterprise deployment patterns, AI safety and governance, pricing/licensing, competitive positioning, and client demand
Educate consultants, account leaders, and delivery teams on Claude opportunities and Aimpoint Digital's capabilities

Requirements

What you’ll need

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 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
Comfortable discussing Claude, GenAI, agentic workflows, enterprise adoption, governance, and value realization