Responsibilities

• 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

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
• Prioritized, implementation-focused mindset with the ability to own the end-to-end lifecycle of AI-enabled workflows

Preferred

• 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

Benefits

• 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 . 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 rea d more about our benefits offerings here .