Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Leadership role: running a data team.
United States - Remote
Actively hiring, first seen by us 4 days ago#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.
Listed location: United States - RemoteRead the full posting
Lead and mentor engineers and applied scientists, including career development plans
Shape the long-term technical vision for auto-bidding, budget pacing and user targeting
Oversee delivery of key projects and manage risks and product backlog priorities
Build partnerships with data science, infrastructure and other technical teams
Translate complex algorithms into impactful solutions with product managers
Guide and mentor team members, building career development plans and supporting their professional growth.
Shape a long-term technical vision in the auto-bidding, budget pacing and user targeting space
Oversee the delivery of key projects, proactively addressing risks
Build strategic partnerships with data science, infrastructure, and other technical teams
Facilitate the translation of complex algorithms into impactful solutions
Master's degree in Computer Science, Operations Research, Applied Mathematics, Control Systems, Computational Economics, or a related quantitative field.
7+ years of experience in software development.
2+ years of experience in software engineering management.
Experience with digital advertising platforms, real-time bidding, budget pacing, and user targeting solutions.
Familiarity with data science, optimization, and machine learning techniques.
4+ years of experience in software engineering management.
Experience building machine learning models and solutions.
Minimum Qualifications - Master's degree in Computer Science, Operations Research, Applied Mathematics, Control Systems, Computational Economics, or a related quantitative field. - 7+ years of experience in software development.
Preferred Qualifications - PhD in Computer Science, Operations Research, Applied Mathematics, Control Systems, Computational Economics, or a related quantitative field. - 4+ years of experience in software engineering management.
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 4
Early. Similar jobs usually come down between day 7 and day 53.
From 7,823 similar postings that came down. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
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United States - Remote
- Experience building machine learning models and solutions. #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.
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