Director, AI Transformation

Mammoth Brands • New York, NY

18h • $285,000 - $300,000 • Hybrid

About The Position

Mammoth Brands is seeking a Director, AI Transformation to lead the technical strategy and execution for their Central AI Team. This is an operational technical leadership role focused on translating AI ambition into deployed systems, durable infrastructure, and measurable business outcomes. The Director will report to the CTO & Chief AI Officer and partner with the Head of GenAI Strategy. Responsibilities include owning the technical AI strategy, leading a team of Forward Deployed AI Engineers, making build-versus-buy decisions, and managing the AI infrastructure. The role requires strong technical judgment, fast execution, and the ability to lead through influence. This is a career-defining opportunity to shape how a major CPG company operates in the AI era.

Requirements

• 12+ years of experience in software engineering, applied AI, platform engineering, or technical leadership roles, including meaningful time leading engineering teams
• Deep, current technical fluency in modern AI — LLMs, agentic systems, retrieval, evals, prompt engineering, MCP, and the tradeoffs between hosted models, open weights, and fine-tuning
• Shipped real AI systems into production at scale — not just prototypes — and know what breaks, what's expensive, and what's fragile
• Led technical organizations through ambiguous, fast-moving environments and built the operating muscles that let small teams deliver disproportionate impact
• Strong product and business judgment. Ability to translate problems into technical plans and vice versa.
• Clear point of view on build versus buy, and experience making those calls with real money on the line
• Executive presence. Ability to present to a CEO, defend a roadmap to a CFO, and rally an engineering team.
• Success collaborating across diverse teams & stakeholders and driving cross-functional consensus
• Pragmatic approach, caring more about workflow impact and adoption than novelty.
• Ability to move fast and lead from the front, still hands-on enough to spike a prototype, debug an agent, or write an eval when it matters.
• Track record of hiring excellent engineers and creating environments where they do their best work.
• Excited by the opportunity to help define how Mammoth Brands operates in the AI era — and to build a function and a playbook that could become a model for the industry.

Responsibilities

• Own the technical AI strategy for Mammoth Brands — agent architecture, tooling stack, data access patterns, and the infrastructure that lets us scale from dozens of pilots to hundreds of deployed workflows
• Lead the Forward Deployed AI Engineering team, setting hiring bar, technical standards, and the operating model for embedding engineers with business teams
• Drive build-versus-buy decisions across the AI portfolio — partnering with the Head of GenAI Strategy and functional VPs to evaluate vendors, configure existing tools deeply, and build custom only where it creates differentiated advantage
• Partner closely with the Data Platform team to ensure Mammoth Brands' data foundation is AI-ready — informing warehouse architecture, data modeling, governance, and access patterns so that agents, copilots, and analytics tools can reliably reason over our data
• Set the standard for AI infrastructure at Mammoth Brands — evals, prompt systems, agent frameworks, observability, and reusable patterns that turn one-off solutions into platform capabilities
• Partner with Security, Legal, and IT to build the governance frameworks that let us move fast responsibly — data privacy, vendor security review, model selection, and responsible AI practices
• Serve as the technical lead in executive forums — translating AI capabilities into business outcomes for the C-suite, Lane Leads, and Board, and shaping technical roadmaps that align with company priorities
• Scout the emerging AI landscape — model releases, agent frameworks, MCP ecosystem, vertical AI tooling — and translate what matters into clear recommendations and pilots
• Build durable cross-functional partnerships with AI Champions across the company, ensuring the central team's technical work compounds against the workflows our teams actually run
• Own the technical AI tooling budget and make it deliver against business outcomes

Benefits

• Medical, dental, and vision coverage
• 401k match
• Equity in Mammoth Brands
• Flexible time off and working hours
• L&D stipend
• Sabbatical leave (4 weeks after 5 years, 6 weeks after 10 years, and 8 weeks after 15 years)
• Paid parental leave (20 weeks for birth, 16 weeks for other paths to parenthood)
• IRL and virtual events
• Free products from our family of brands

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed