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Instacart · Remote / flexible (United States) · Business operations and strategy · posted 3 days ago
Instacart · Remote / flexible (United States) · posted 33 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | Instacart |
|---|---|
| Location | Remote / flexible (United States) |
| Field | Technology › Data, analytics and AI |
| Level | not stated |
| Source category | Machine Learning |
| Posted | 2026-10-07 (33 days ago) |
| Work arrangement | A remote or flexible location is listed |
| Pay | Not published in the source listing |
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.
As the Senior Engineering Manager for the Advertiser Optimization team, you'll lead a team of engineers and applied research scientists to build state-of-the-art systems that optimize ad performance via bidding, pacing, targeting, etc. Building on Instacart’s unique data and market position, these systems create value for advertising partners, improve consumer experience, and directly contribute to Instacart's overall revenue / business success.
You'll have the unique opportunity to collaborate with a cross-functional team, turning diverse insights into powerful solutions that elevate advertising effectiveness. Your leadership will steer the development of sophisticated algorithms and machine learning models, driving performance gains across our advertising platform. Together, we'll build an ads ecosystem that not only serves millions but also excels in delivering value to users and advertisers alike.
Instacart Ads is at the forefront of transforming the grocery shopping experience by seamlessly integrating advanced advertising solutions into our platform. Our Advertiser Optimization team is a dynamic group of innovators devoted to building cutting-edge optimization solutions that enhance the efficiency and performance of our ads ecosystem. By leveraging advanced algorithms and machine learning models, the team ensures that our advertising partners achieve exceptional results while providing a relevant and engaging experience for our customers.
#LI-Remote
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 read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
Field: Technology Sub-niche: Data, analytics and AI All jobs at Instacart
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This is a — role in the Technology field (Data, analytics and AI) at Instacart.
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A private-sector role in technology (data, analytics and ai) listed 33 days ago. The full description is on this page and on the employer's page.
Remote / flexible (United States). A remote or flexible location is listed; confirm with the employer which states are accepted.
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