AI Solutions Lead, Marketing

Instacart
CA$126,000 - CA$133,000Remote

About The Position

This role is about rebuilding marketing processes from the ground up using AI, rather than layering AI onto existing processes. The Instacart Marketing team has set ambitious AI goals, and this individual will be responsible for making them a reality. As the first role of its kind in Marketing, the primary focus is to identify and transform slow, manual, or inefficient workflows across the organization into fundamentally better, AI-native solutions. The benchmark for success is transformation, not just marginal improvement, aiming to build solutions that become indispensable. This is a builder role where strategy serves the purpose of shipping, adoption, and measurable impact. The role also acts as a connective tissue for Marketing's AI ambitions, convening stakeholders, removing blockers, and fostering internal momentum. In the first year, the focus will be on Building (60%), Driving Adoption (20%), and Orchestration & Thought Partnership (20%). Building involves identifying and rebuilding high-impact workflows and processes using AI, owning the full cycle from design to measurement, and developing solutions with portability in mind. Early builds include transforming leadership and planning narratives, automating the integrated campaign launch process, and implementing a brief quality and standardization AI review layer. Developing and maintaining an intake framework for prioritizing AI initiatives is also key. Driving Adoption focuses on change management, building trust, and encouraging consistent use of new AI solutions. This includes internal evangelism through case studies and demonstrating the possibilities of AI to generate demand. Creating energy around AI in Marketing by showcasing tangible benefits and making adoption easy is crucial. Orchestration & Thought Partnership involves leading the MarComms AI KR forum, fostering momentum behind shared goals, surfacing blockers, and maintaining an operating cadence. It also includes acting as a working partner to AI goal owners, resolving vendor delays, addressing capability gaps, and helping teams overcome challenges.

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
  • 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
  • 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
  • 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
  • New hire equity grant
  • Annual refresh grants
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