AI Solutions Lead, Marketing

EngineersOfAI; Canada; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Instacart is transforming the grocery industry and inviting the world to share love through food. We are building AI-powered marketing solutions across a fast-moving organization to make processes faster, smarter, and more scalable.

You’ll be the first role of this kind in Marketing, embedded in the org with a clear mandate to identify slow, manual, or broken processes and rebuild them into something faster and AI-native.

Responsibilities

• Identify slow, manual, or broken processes across Marketing and rebuild them into AI-native solutions.
• Be the connective tissue for Marketing's AI ambitions by unblocking what's stuck and driving internal momentum.
• Lead the build, ship, and measure cycle to deliver tangible, AI-enabled improvements in campaigns and insights.

Job description

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.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Why this role is on the menu

Most companies are layering AI onto existing processes. This role is about something different: rebuilding those processes from the ground up, so teams can do work that actually matters.

Instacart's Marketing team has set ambitious AI goals — and this is the person who makes them real. You'll be the first role of this kind in Marketing, embedded in the org with a clear mandate: identify what's slow, manual, or broken across the Marketing organization and rebuild it into something fundamentally better. The benchmark isn't marginal improvement. It's transformation — building solutions that make people wonder how they ever worked without them.

This is a builder role. Strategy is a means to an end. The end is something shipped, adopted, and measurable. You'll also be the connective tissue for Marketing's AI ambitions — convening the people who own AI goals, unblocking what's stuck, and creating internal momentum that makes the whole org move faster.

What you’ll cook up in your first year

Building (60%)

• 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
• Walk in with work already queued. Early builds include:
  • 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
  • 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
  • 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
• 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

Driving Adoption (20%)