Senior Director, AI Solutions

The role, in a nutshell:

The Senior Director of AI Solutions will lead Chainguard’s strategy and execution for applying artificial intelligence and machine learning across the go-to-market organization to drive revenue growth, operational efficiency, and customer impact. The right leader will be excited to embrace aggressive experimentation to build and deploy proprietary solutions that are central to our business. This role requires a visionary and hands-on leader with deep expertise in data engineering who can translate business priorities into scalable, secure, and responsible AI solutions across Sales, Marketing, Customer Success, and Revenue Operations. By leveraging modern AI technologies to deliver innovative, data-driven solutions, this leader will transform how Chainguard’s GTM teams execute.

What you will do

• Own the vision, strategy, and delivery of AI-led solutions that materially improve Chainguard’s go-to-market effectiveness across Sales, Marketing, Customer Success, and Revenue Operations.
  
  
• Identify, prioritize, and deliver high-impact AI use cases across the GTM lifecycle, including pipeline intelligence, deal prioritization, forecasting, personalization, sales enablement, RFP, and security questionnaire automation, customer insights, and retention signals.
  
  
• Act as the AI product owner for GTM, translating business problems into scalable AI solutions that drive measurable outcomes such as revenue growth, productivity gains, and improved customer experience.
  
  
• Lead the design and deployment of GenAI and predictive ML applications, including internal AI assistants, recommendation systems, and decision-support tools embedded into GTM workflows and systems.
  
  
• Partner closely with GTM leadership, RevOps, GTM Systems, Data, Security, IT, and Legal to ensure AI solutions are trusted, secure, explainable, and compliant.
  
  
• Establish best practices for the full AI solution lifecycle—from data sourcing and model development to deployment, monitoring, iteration, and adoption.
  
  
• Drive data-driven decision making by ensuring AI solutions are grounded in high-quality data, clear success metrics, and executive-ready insights.
  
  
• Stay ahead of emerging AI technologies and vendors, making informed build vs. buy vs. partner decisions aligned to Chainguard’s strategy and security posture.
  
  
• Build, mentor, and scale a high-performing team of AI engineers, data scientists, and solution architects, fostering a culture of innovation, ownership, and impact.
  
  
• Serve as a trusted advisor and thought partner to executives, clearly communicating AI strategy, tradeoffs, and business value.
  
  

What we are looking for

• 12+ years of experience delivering data, AI, or machine-learning–driven solutions, with significant focus on go-to-market, growth, or revenue organizations.
  
  
• Proven experience leading AI or data science teams that deliver production-grade solutions with clear business impact.
  
  
• Strong hands-on understanding of Generative AI, LLMs, predictive modeling, and recommendation systems, including practical experience deploying them into real workflows.
  
  
• Demonstrated ability to translate ambiguous business problems into well-scoped AI solutions that drive adoption and outcomes.
  
  
• Experience partnering deeply with Sales, Marketing, Customer Success, and RevOps leaders, with credibility in executive-level discussions.
  
  
• Solid understanding of data architecture, data pipelines, feature stores, and analytics, even if not personally building every component.
  
  
• Familiarity with Salesforce-centric GTM environments and how AI integrates into CRM, sales engagement, marketing automation, and BI tools.
  
  
• Strong point of view on Responsible AI, including security, privacy, governance, explainability, and human-in-the-loop design.
  
  
• Ability to balance strategic vision with hands-on execution, especially in high-growth or evolving environments.
  
  
• Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  
  
• A builder’s mindset: curious, pragmatic, outcome-oriented, and comfortable operating in ambiguity.