AI Solutions Lead, Marketing

Instacart
$131,000 - $165,500Remote

About The Position

This role is about rebuilding marketing processes from the ground up using AI, rather than layering AI onto existing processes. The AI Solutions Lead will be embedded in the Marketing team with a clear mandate to identify and rebuild slow, manual, or broken processes into something fundamentally better, aiming for transformation rather than marginal improvement. This is a builder role focused on shipping, adopting, and measuring solutions. The role also involves acting as a connective tissue for Marketing's AI ambitions, convening stakeholders, unblocking issues, and creating internal momentum. The first year will focus on building AI-native workflows and systems, owning the full cycle from identification to measurement, and developing solutions with portability in mind. A key responsibility will be developing and maintaining an intake framework for prioritizing AI projects. Additionally, the role will drive adoption through change management and internal evangelism, and lead the MarComms AI KR forum, acting as a working partner to AI goal owners.

Requirements

  • 7+ years in marketing operations, marketing strategy, or a closely adjacent discipline — you understand how marketing orgs work, where the friction lives, and what it costs to leave it unfixed.
  • Proven builder with a track record of impact — you have shipped AI-powered workflows and processes that demonstrably changed how teams work; you can name the problem, describe the solution, and quantify the result. You’re so invested in AI that you’ve applied it beyond the scope of your current role.
  • Hands-on daily experience with frontier AI tools such as Claude, GPT-4o, or Gemini, including writing prompts that produce reliable, production-quality output at scale.
  • Experience building agentic systems where AI components interact with each other, including multi-agent design, orchestration layers, and workflows that run without a human in the loop at every step.
  • An adoption-minded approach to building: designing for adoption from day one and taking accountability for whether what you built actually gets used.
  • Strong communication skills, with the ability to explain what you're building, why it matters, and where it stands, for audiences from ICs to CMO-level leadership.
  • Prioritization discipline — you can evaluate a request and tell someone their problem isn't a good AI candidate right now, or that the cost of building outstrips the benefit; you know what not to build.

Nice To Haves

  • A framework for evaluating AI vendors and tools quickly, including running comparison pilots and making principled decisions about what earns a place in the stack.

Responsibilities

  • Identify high-impact workflows, systems, and processes across Marketing that are slow, manual, or duct-taped together — and rebuild them AI-natively, from the ground up.
  • Own the full cycle: understand the current state, design the solution, build it, ship it — then measure what changed. Establish the before, prove the after, and make the case to leadership.
  • Build with portability in mind — your solutions should be constructed so others can pick them up, adapt them for their own context, and extend what you've built without starting from scratch; you're not just solving a problem, you're creating infrastructure others can build on.
  • Develop and maintain an intake framework: gather inputs from across the org, evaluate feasibility and impact, and make a defensible call on what gets built next — including what doesn't; prioritization discipline means saying no to low-value requests as readily as yes to high-value ones.
  • Own the change management side of every build: create the conditions for people to trust what you've built, use it consistently, and not revert to old habits when something feels unfamiliar.
  • Evangelize internally — write up wins, build case studies, show other teams what's possible; your goal is to generate more demand than you can supply, which means the org needs to see what AI can actually do, not just hear about it.
  • Create energy around AI across Marketing — not as a cheerleader, but as someone who shows people things they didn't know were possible and makes it easy for them to take the next step.
  • Lead the MarComms AI KR forum: convene AI KR owners across Marketing, create momentum behind shared goals, surface blockers, and hold the operating cadence.
  • Act as a working partner to AI goal owners — unblocking vendor delays, solving capability gaps, helping people get unstuck.

Benefits

  • Highly market-competitive compensation and benefits in each location where our employees work.
  • New hire equity grant as well as annual refresh grants.
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