Instacart

AI Solutions Lead, Marketing

Instacart$126K — $133K *
US-AnywhereRemote in Canada
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in marketing operations or related field
  • Proven builder with a record of impactful AI-powered workflows
  • Hands-on experience with advanced AI tools like Claude or GPT-4o
  • Experience in designing agentic AI systems with minimal human intervention
  • Adoption-focused mindset when building workflows
  • Strong communication skills for diverse audiences
  • Ability to prioritize and evaluate AI project feasibility

Responsibilities

  • Identify and rebuild slow or broken workflows in Marketing using AI
  • Own the full cycle from understanding current state to measuring impact after implementation
  • Transform leadership narratives and budgeting processes into faster, AI-driven outputs
  • Automate campaign launch processes to reduce manual overhead
  • Implement an AI review system to ensure high-quality briefs
  • Develop a framework to gather and prioritize project inputs across the organization
  • Champion change management to ensure adoption of new processes

Benefits

  • Flexible remote work policy
  • New hire equity grants with annual refresh grants
  • Work-life balance support
  • Access to a dynamic and innovative work environment
  • Opportunities for professional development and learning
Full Job Description
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%)
  • 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

Orchestration & Thought Partnership (20%)
  • 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

The secret ingredients we're looking for

Must-have pantry staples (Minimum Qualifications)
  • 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


Optional garnishes (Preferred Qualifications)
  • 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


Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$126,000-$133,000 CAD

About Instacart

Instacart is an American company that operates a grocery delivery and pick-up service in the United States and Canada. The company offers its services via a website and mobile app. The service allows customers to order groceries from participating retailers with the shopping being done by a personal shopper. Instacart was founded in 2012 by entrepreneur Apoorva Mehta, a former Amazon.com employee. Apoorva was born in India and moved with his family to Canada in 2000. He studied engineering at the University of Waterloo and graduated in 2008. He was a participant in Y Combinator's Summer 2012 batch, which eventually led to the creation of Instacart. In 2013, Mehta was included on the Forbes 30 Under 30 list. Apoorva previously worked at BlackBerry, Qualcomm, and then Amazon as a supply chain engineer, where he developed fulfillment systems to move packages from Amazon's warehouses to customers' homes. Before founding Instacart, Apoorva had tried to start at least 20 other services. He tried building an ad network for social gaming companies, and developing a social network specifically for lawyers, among other start-ups. Instacart originally launched in San Francisco. By April 2015, the firm had about 200 employees. It introduced a new policy around June allowing some shoppers to choose to be part-time employees, starting with Chicago and Boston and extending its offer to shoppers in Atlanta, Miami, and Washington D.C. the following month.
Learn more about Instacart
Industry
Founded
2012

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