IN

AI Solutions Lead, Marketing

instacart· 41 open roles

Remote RemoteFull-time3 weeks ago
Salary
$126k - $133k
Experience
Mid
Job Type
Full-time
Posted
3 weeks ago
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About This RoleAI processing…

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Key Responsibilities

  • 1
    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
  • 2
    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
  • 3
    Walk in with work already queued. Early builds include:
  • 4
    Recurring leadership and planning narratives — transforming how Marketing produces its MBR, quarterly planning summaries, budget variance write-ups, and channel performance narratives; currently manual synthesis across multiple inputs, rebuilt into a faster, more consistent, AI-native output
  • 5
    Integrated campaign launch process — automating key steps from campaign ideation to launch, reducing the manual handoffs and coordination overhead that slow campaigns down across teams
  • 6
    Brief quality and standardization — an AI review layer that evaluates briefs before they leave the building, flags what's missing or unclear, and raises input quality across the org before downstream teams absorb the cost of a bad brief
  • 7
    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
  • 8
    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
  • 9
    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
  • 10
    Lead the MarComms AI KR forum: convene AI KR owners across Marketing, create momentum behind shared goals, surface blockers, and hold the operating cadence
  • 11
    Act as a working partner to AI goal owners — unblocking vendor delays, solving capability gaps, helping people get unstuck

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

Perks & Benefits

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

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