Director, AI Transformation

About Mammoth Brands Mammoth Brands (formerly Harry’s Inc.) is the modern CPG company behind brands Harry’s, Flamingo, Lume, Mando, and Coterie. We’re building a new model—and home—brands, founders, and talent looking to solve unmet needs, improve peoples’ lives, and ultimately challenge the status quo. Our mission is to “Create Things People Like More.” Simply put: everything we do should be better than what already exists. If it’s not, we don’t do it. This guides everything we do, from developing the best product experiences, to making Mammoth Brands a great place to work, to exploring innovative ways to give back to our community. We got our start in 2013 when our co‑founders created Harry’s. They built the brand differently—online first, prioritizing direct relationships with customers—and in the process learned they’d created something bigger: a playbook and platform that could help other brands grow and scale to their full potential, and a vision to reimagine consumer packaged goods. Today, Mammoth Brands is a growing portfolio of brands and the largest CPG company built in the last 20 years. Even as we grow, we take extra care to maintain the small, scrappy, entrepreneurial culture that helped to get us where we are today: to create a company that people like more, that better serves its customers, employees, and community. As a company, we’re also committed to making a positive impact and have donated over $20 million through our network of nonprofit partners to date. We build brands that move fast and think big — and we hire people who are curious about AI, willing to experiment with it in their day‑to‑day work, and excited to accelerate what’s possible. We prioritize giving our team the tools, training, and space to build real fluency, so you grow alongside the technology and help shape how we use it. About the team The Central AI Team is leading Mammoth Brands' transformation into an AI‑native company. We believe AI will drive the largest shift to how businesses operate in our lifetimes, and we are investing accordingly — across people, tools, infrastructure, and the workflows that run our business. Our 2026 mandate is to scale AI adoption thoughtfully across every function, drive measurable business impact in our highest‑priority areas, and democratize access to high‑quality data so every team can move faster. The team partners across Marketing, Growth, CX, Supply Chain, Finance, Product, Analytics, Legal, Retail, and Technology to embed AI into real work, accelerate adoption of approved tools, and build custom solutions where off‑the‑shelf software is not enough. We sit at the intersection of strategy, engineering, and execution — and we are building the playbook for how Mammoth Brands operates in the AI era. About the role This is not a theoretical role. It is an operational technical leadership position responsible for translating Mammoth Brands' AI ambition into deployed systems, durable infrastructure, and measurable business outcomes. As Director of Technology, AI Transformation, you will own the technical strategy and execution arm of the Central AI Team. You will report directly to the CTO & Chief AI Officer and partner closely with the Head of GenAI Strategy to set direction across the company’s AI portfolio. You will hire and lead a team of Forward Deployed AI Engineers, make the build‑versus‑buy calls that determine where we invest, and own the infrastructure — agents, evals, integrations, MCP servers, data plumbing — that makes our AI work scalable, secure, and reliable. You will operate as the senior technical voice in the room when functional teams scope ambitious AI initiatives, when vendors pitch us, and when we have to decide whether a workflow gets a custom build, a configured tool, or a different approach entirely. You will also be a hands‑on builder when it matters. The role demands strong technical judgment, fast execution, and the ability to lead through influence across a cross‑functional org. This is a career‑defining opportunity to shape how a major CPG company runs in the AI era — with real budget, real executive backing, and a team to build it with you. What you will accomplish 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 This should describe you You have 12+ years of experience in software engineering, applied AI, platform engineering, or technical leadership roles, including meaningful time leading engineering teams You have 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 You have shipped real AI systems into production at scale — not just prototypes — and you know what breaks, what's expensive, and what's fragile You have led technical organizations through ambiguous, fast‑moving environments and built the operating muscles that let small teams deliver disproportionate impact You have strong product and business judgment. You can sit across from a CMO, #J-18808-Ljbffr Mammothbrands