Most Loved Workplace® Certified JobStrategy Lead, AI-Marketing
Most Loved Workplace® Certified JobAbout the Role
At Petfolk, a Most Loved Workplace® certified employer in the Veterinary space, Veterinary care that puts you and your pet at the center of a care community.
We're hiring an AI Strategy Lead to own how AI powers Petfolk's marketing engine — the systems that produce, test, and optimize creative, landing pages, and campaigns. This person will sit inside the Marketing function and report directly to the VP of Growth. To be clear, this isn't a marketing job with some AI added on. Your job isn't to design ads or write landing page copy. It's to build the AI-powered systems that let the team produce, test, and iterate far faster than traditional marketing allows. Your first job is to get deeply fluent in how marketing actually runs today — the MarTech stack, where the data lives, how a brief becomes a live campaign, and where the handoffs cost us days. From there, you'll ship the first automated production pipelines, stand up the analytics to prove they work, and iterate relentlessly — refining prompts, workflows, guardrails, and review checkpoints until the output is genuinely good enough to ship without a human rewriting it. Over time, this role expands. You'll move from individual pipelines to orchestration — multi-agent systems with handoffs and human review, self-optimizing loops that run from ad creative to landing page to performance feedback and back. You'll take on broader ownership of marketing performance analytics, build business cases, model ROI, and partner with Brand, Engineering, Operations, and Medical to put improvements in place. This is not a role for someone who wants to observe or advise. It's for someone who looks at how things are currently working, figures out what's slowing it down, and fixes it. You'll own work end to end — from figuring out the problem to putting something in place and making sure it actually gets used. Success in this role is simple: The marketing team ships more, tests faster, and acquires pet parents at lower cost because of the systems you put in place.
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Requirements
- AI-Native Builder. You don't just use AI tools. You build systems with them. You've put together workflows, automated pipelines, or created AI-powered tools in a marketing or growth setting. You can show us what you've built and talk through why you made the choices you did.
- Claude and LLM Fluency. Real experience with Claude or comparable models. You get system prompt design, structured outputs, tool use, and evaluation loops. You treat prompts like code: you version them, test them, and improve them over time.
- Workflow Automation. You've built multi-step automated workflows in N8N, Make, Zapier, or something similar. You've connected APIs, handled conditional logic, and dealt with things breaking in production. The specific tool matters less than the experience.
- Analytical Rigor. You can set up experiments, read results honestly, and build systems that track what matters. A/B testing, attribution, and performance dashboards across paid channels.
- Semi-Technical Chops. Maybe you code, maybe you don't. Either way, you can read an API doc, write a script when you need to, debug an integration, and build with low-code tools without asking engineering for help.
- Self-Directed. Give you a goal and you'll find the path. You've worked in places where things moved fast, the roadmap was fuzzy, and you had to figure out what mattered most and go do it.
- Agentic Systems Experience. You've built or prototyped agentic AI workflows where the system takes actions, calls tools, makes decisions, and routes work to a human when it should. Bonus points for Claude tool use or MCP experience.
- Custom MCP Development. You've built Model Context Protocol servers or integrations that plug LLMs into external tools and data sources.
- Background in top-tier consulting, banking, product, or high-growth startups
- AI Compliance Awareness. You pay attention to FTC guidelines and platform rules around AI-generated content in ads. As a pet health brand, trust matters a lot to us, so this is more important here than it might be elsewhere.
- Prompt Engineering Discipline. You keep prompt libraries, run evals, version your system prompts, and treat the craft seriously. Beyond being good at using an LLM, you're good at building reliable systems on top of one.
Benefits
- Be part of a cohort of AI Leads building something new across the whole company.
- Full autonomy and real ownership, reporting directly to the functional VP
- A company that's genuinely investing in AI, not just talking about it.
- Work that connects to something real. Better marketing means more pet parents find better care for their animals.
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