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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. Overview Instacart's Ads Optimization team is the decision-making engine of our $1B+ ads business. We own the systems responsible for bidding, pacing, budgeting, targeting, and additional optimization layers that convert advertiser goals into real-time outcomes — all while balancing value across users, advertisers, retail partners, and Instacart. As a Senior Data Scientist on this team, you will drive the analytics, experimentation, and algorithmic strategy that determines how our ad supply and demand meet, and how value and surplus are created and distributed across the platform. In this role, you will operate at the intersection of data science, economics, and production systems, partnering closely with Product, Engineering, and Machine Learning to build and ship solutions that directly impact Instacart's revenue and advertiser outcomes. Your work will touch the full research-to-production loop — from problem framing and modeling to experimentation, measurement, and iteration in live systems. About the Job Own the analytics and experimentation strategy for pacing, targeting, and related optimization areas, driving measurable improvements in advertiser outcomes and platform efficiency Design and build intelligent pacing algorithms and budget allocation systems grounded in adaptive control and model-predictive control techniques, deployed in high-throughput production environments Lead end-to-end experimentation across optimization systems — designing experiment frameworks, diagnosing complex or conflicting signals, and translating results into clear, actionable recommendations for Product and Engineering leadership Apply causal inference, statistical modeling, and ML techniques to optimize how ad spend is distributed across time and auction opportunities, balancing user experience, advertiser goals, and platform revenue Present findings and strategic recommendations to leadership across Product, Engineering, and Data Science Serve as a thought leader and technical anchor in the Ads Optimization space, setting the analytical standard and mentoring peers across the team Collaborate with the Ads Product and Sales teams to gather advertiser feedback and inform optimization priorities About You Minimum Qualifications Proven experience in ads optimization at an ad tech company (e.g., Google, Meta, Amazon, TikTok, or equivalent), with hands-on work in pacing, targeting, budget allocation, or related systems Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling Experience shipping optimization systems into production — not just research, but real measurement and iteration in live environments Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders 6+ years of work experience in a data science or related field Preferred Qualifications Experience collaborating directly with an ads product or sales team, or with advertisers, to shape product and algorithmic priorities Background in budget-constrained allocation methods, adaptive control, or model-predictive control in production systems #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 rea d more about our benefits offerings here . For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $218,000 — $230,000 USD WA $209,000 — $220,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $200,000 — $211,000 USD All other states $182,000 — $192,000 USD

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. Overview The Ads Manager team builds the core self-serve platform that brands, agencies, and retailers use to create, manage, and optimize their advertising campaigns on Instacart. We own the campaign creation flows, creative management, reporting dashboards, and design system foundations that power it. We are hiring a Senior Frontend Engineer II (L6) to co-own the technical roadmap for our advertiser-facing experience, modernize our frontend architecture, and scale complex campaign management and reporting interfaces while elevating our component library, design system, performance, and accessibility across the platform. You’ll partner closely with Product, Design, Backend, and Data Science teams to build reusable UI abstractions and deliver high-impact features across pillars such as Campaign Activation, Creative & Reporting, Design System & Platform, Performance & Accessibility, and novel AI initiatives. About the Job As a Senior II Frontend Engineer (L6) on the Ads Manager team, you will own the team’s frontend technical direction and lead large, multi-quarter initiatives that shape how advertisers plan, launch, and optimize campaigns on Instacart. You’ll define key architectural patterns, improve developer productivity and observability, and act as a primary technical partner to product, design, data science, and backend teams. Lead the technical roadmap and architecture for Ads Manager’s web applications, balancing near-term delivery with long-term scalability and extensibility. Design, build, and maintain high-quality React UIs for campaign creation, management, reporting, and optimization. Define and evolve shared components, state management, and abstractions that make the surface easier to extend and maintain. Partner with backend teams on API and data contracts that enable robust, observable, and cost-efficient systems. Collaborate with other frontend leads and peers across the company to build alignment on frontend standards and best practices. Champion observability, performance, and reliability for Ads Manager, including metrics, logging, tracing, and on-call readiness for critical flows. Proactively drive modernization and technical debt paydown, including migrations and refactors of legacy frontend code. Embed security-by-design into frontend architecture and lead response for significant security or reliability issues touching Ads Manager UI. Propose and lead team-wide and cross-team initiatives on behalf of the EM, aligning stakeholders and driving execution across Ads and partner teams. Actively work with designers to build a best-in-class experience for users. Mentor and sponsor engineers up to L5, improve onboarding and team practices, and help resolve cross-team execution issues. Help define how the team uses AI-assisted development tools (for code, tests, and refactors), including patterns and best practices. About You Minimum Qualifications 8+ years of experience building modern web applications, with substantial ownership of complex, user-facing products. Deep expertise in Node.js and React (hooks, state management, performance tuning) in large codebases. Strong skills in frontend architecture: modularization, shared components, routing, data fetching, and error handling. Experience designing and integrating with REST and/or GraphQL APIs, working closely with backend teams. Proven track record leading large, ambiguous, multi-stakeholder projects from design through rollout and operations. Demonstrated impact on team productivity and code health through abstractions, tooling, testing, and CI improvements. Experience with monitoring and observability for web apps (e.g., Datadog or similar). Comfortable using AI-assisted developer tools in day-to-day work and interested in scaling their use across the team. Excellent communication and collaboration skills with engineers, PMs, designers, and other partners. Preferred Qualifications Experience leading large-scale, data-heavy UIs such as analytics dashboards, editors, or complex workflows. Hands-on experience with GraphQL at scale (schemas, client patterns, performance). Experience with automation testing frameworks such as Selenium, Cypress, or Playwright. Deep experience with frontend performance and reliability (bundle optimization, code-splitting, resiliency patterns). Led modernization efforts or major migrations (framework upgrades, design system adoption, legacy deprecation). Experience with common design tools such as Figma. Track record mentoring L3–L5 engineers and acting as a go-to expert for a domain or surface area. #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 . 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 $196,000 — $207,000 USD

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. Overview The Ads Manager team builds the core self-serve platform that brands, agencies, and retailers use to create, manage, and optimize their advertising campaigns on Instacart. We own the campaign creation flows, creative management, reporting dashboards, and design system foundations that power it. We are hiring a Senior Frontend Engineer II (L6) to co-own the technical roadmap for our advertiser-facing experience, modernize our frontend architecture, and scale complex campaign management and reporting interfaces while elevating our component library, design system, performance, and accessibility across the platform. You’ll partner closely with Product, Design, Backend, and Data Science teams to build reusable UI abstractions and deliver high-impact features across pillars such as Campaign Activation, Creative & Reporting, Design System & Platform, Performance & Accessibility, and novel AI initiatives. About the Job As a Senior II Frontend Engineer (L6) on the Ads Manager team, you will own the team’s frontend technical direction and lead large, multi-quarter initiatives that shape how advertisers plan, launch, and optimize campaigns on Instacart. You’ll define key architectural patterns, improve developer productivity and observability, and act as a primary technical partner to product, design, data science, and backend teams. Lead the technical roadmap and architecture for Ads Manager’s web applications, balancing near-term delivery with long-term scalability and extensibility. Design, build, and maintain high-quality React UIs for campaign creation, management, reporting, and optimization. Define and evolve shared components, state management, and abstractions that make the surface easier to extend and maintain. Partner with backend teams on API and data contracts that enable robust, observable, and cost-efficient systems. Collaborate with other frontend leads and peers across the company to build alignment on frontend standards and best practices. Champion observability, performance, and reliability for Ads Manager, including metrics, logging, tracing, and on-call readiness for critical flows. Proactively drive modernization and technical debt paydown, including migrations and refactors of legacy frontend code. Embed security-by-design into frontend architecture and lead response for significant security or reliability issues touching Ads Manager UI. Propose and lead team-wide and cross-team initiatives on behalf of the EM, aligning stakeholders and driving execution across Ads and partner teams. Actively work with designers to build a best-in-class experience for users. Mentor and sponsor engineers up to L5, improve onboarding and team practices, and help resolve cross-team execution issues. Help define how the team uses AI-assisted development tools (for code, tests, and refactors), including patterns and best practices. About You Minimum Qualifications 8+ years of experience building modern web applications, with substantial ownership of complex, user-facing products. Deep expertise in Node.js and React (hooks, state management, performance tuning) in large codebases. Strong skills in frontend architecture: modularization, shared components, routing, data fetching, and error handling. Experience designing and integrating with REST and/or GraphQL APIs, working closely with backend teams. Proven track record leading large, ambiguous, multi-stakeholder projects from design through rollout and operations. Demonstrated impact on team productivity and code health through abstractions, tooling, testing, and CI improvements. Experience with monitoring and observability for web apps (e.g., Datadog or similar). Comfortable using AI-assisted developer tools in day-to-day work and interested in scaling their use across the team. Excellent communication and collaboration skills with engineers, PMs, designers, and other partners. Preferred Qualifications Experience leading large-scale, data-heavy UIs such as analytics dashboards, editors, or complex workflows. Hands-on experience with GraphQL at scale (schemas, client patterns, performance). Experience with automation testing frameworks such as Selenium, Cypress, or Playwright. Deep experience with frontend performance and reliability (bundle optimization, code-splitting, resiliency patterns). Led modernization efforts or major migrations (framework upgrades, design system adoption, legacy deprecation). Experience with common design tools such as Figma. Track record mentoring L3–L5 engineers and acting as a go-to expert for a domain or surface area. #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 . 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 $196,000 — $207,000 USD

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. Overview As a Senior Software Engineer II in the Ads Quality team specializing in ML infrastructure, you'll work with a team of software and machine learning engineers to build state-of-the-art systems that optimize Ads performance throughout the ads serving funnel, from retrieval to pricing. You'll own the technical direction of our data, feature processing and model training/serving solutions, enabling next-generation modelling opportunities—from utilizing out of the box LLMs to building bespoke Foundation Models that powers all the Ads use cases. You will eliminate bottlenecks across the training and serving system to optimize stability, latency and cost. 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 and operational stability. Your expertise will steer the development of scalable training and serving infrastructure, driving performance and efficiency 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 transforming the online grocery shopping experience by seamlessly integrating advanced advertising solutions into our platform. The Ads Quality team is dedicated to delivering outstanding advertising outcomes by driving innovation and precision in response prediction, advertiser optimization, and ads auction processes. Our mission is to ensure relevance, fairness, and performance for all participants in the ad ecosystem. By leveraging terabytes of data and sophisticated machine learning algorithms, we build advanced predictive models that enhance user experience, drive advertiser success, and sustain a thriving ad ecosystem. We're also at the forefront of integrating Large Language Models (LLMs), unlocking powerful new capabilities that are redefining how brands connect with consumers in the digital grocery space. Our next major bet is a real-time sequential foundation model for ads—and building the training and serving infrastructure to make it possible is central to this role. About the Job Design, develop, and deploy machine learning infrastructure to tackle practical challenges in our complex marketplace while advancing the training and serving platform. Work with the company wide ML Foundation team to develop solutions to meet Ads unique needs. Optimize training and serving funnel bottlenecks—profiling real systems and driving meaningful wins in throughput, cost, and latency, from GPU/accelerator utilization to tail latency at serving time. Identify instabilities and shortcomings of our systems and operating procedures to deliver best in class availability. Build real-time feature processing infrastructure—low-latency pipelines that compute, join, and serve fresh features to models on the critical path of every ad request. Lead the infrastructure foundation for our real-time sequential foundation model, including online sequence feature stores, streaming update paths, efficient long-context serving, and training pipelines that keep pace with rapidly evolving data. Collaborate closely with product managers, data scientists, and MLEs to deeply understand business needs and co-design systems where product, model architecture and infrastructure constraints are solved together. Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals. Mentor engineers, set technical direction, and conduct thorough code reviews to ensure high code quality and maintainability. Lead by example in fostering a culture of continuous improvement and technical excellence. About You Minimum Qualifications Have a graduate degree (masters or PhD) in computer science, artificial intelligence, machine learning, operations research or equivalent self study and experience. Have 3+ years of industry experience building ML infrastructure or using machine learning to solve real-world problems with large datasets. Deep expertise building, scaling and managing ML infrastructure for training and/or serving in production, with a strong understanding of modern machine learning systems and MLOps. Strong programming skills in software engineering (e.g., Python, Go), along with expertise in data manipulation using tools (SQL, Spark, and Pandas), and ML frameworks (Torch, Tensorflow, XGBoost). Strong analytical and problem-solving skills. Excellent communication skills (both verbal and written) and can collaborate with a diverse group of stakeholders across all levels. Eager to jump into domains, languages, and problem areas that might be new and unfamiliar. Preferred Qualifications Have 5+ years of industry experience tech leading a team to build ML infrastructure or using machine learning to solve real-world problems with large datasets. Demonstrated experience solving complex model training and serving efficiency challenges, including optimizing training pipelines, reducing model training times, and improving serving architectures to enhance operational efficiency and scalability. Hands-on experience with real-time / online feature processing and serving—streaming systems (e.g., Kafka, Flink), online feature stores, and low-latency retrieval on the request path. Experience with sequential modeling, transformer architecture, and generative retrieval or building large scale online recommendation systems. Experience serving large sequential or foundation models in low-latency, high-QPS production settings. Experience in digital advertising platforms. Familiarity with LLM integrations, prompt engineering, and productivity tooling. #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 rea d more about our benefits offerings here . For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $230,000 — $242,500 USD WA $220,000 — $232,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $211,000 — $222,500 USD All other states $192,000 — $202,500 USD

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. Overview The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, Targeting and advertiser-facing recommendations - converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while carefully balancing User Experience and Platform Revenue. We are looking for a Software Engineer II with a strong quantitative background to join our Toronto-based team. In this role, you will apply your expertise in mathematics, statistics, economics, or a related field to help build and refine the algorithmic systems that power how Instacart's advertising marketplace operates. You'll work alongside a talented team of scientists and engineers, contributing to production systems that have real, measurable impact on a scaled ads platform. If you're excited by the intersection of rigorous quantitative thinking and large-scale engineering, this is the role for you. About the Job Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting, applying your training in mathematics, statistics, economics, or a related quantitative discipline to solve complex marketplace problems at scale. Collaborate closely with senior scientists, engineers and product managers to translate well-defined marketplace questions into mathematical formulations, implement analyses and prototypes, design experiments, and interpret results using large-scale data. Contribute to production systems through algorithm implementation, validation, and monitoring, progressively taking ownership of well-scoped projects from initial hypothesis through measurable impact. Operate in a fast-paced, constantly evolving environment where the ads marketplace shifts quickly — you'll need to balance rigor with speed, and thrive when priorities change and new challenges emerge. Communicate assumptions, findings, and limitations clearly to both technical and cross-functional partners, helping the team make better decisions through transparency and analytical clarity. About You Minimum Qualifications PhD in mathematics, statistics, economics, operations research, or a related quantitative discipline, with a strong foundation in at least one of the following areas: optimization, probability, statistical modeling, econometrics, or control theory. Proficiency in Python and SQL, with demonstrated ability to translate quantitative concepts into analyses, algorithm implementations, and experiments. Strong analytical and communication skills, including the ability to explain assumptions, methodologies, results, and limitations to both technical and cross-functional audiences. Preferred Qualifications 2+ years of software engineering experience, particularly in applying quantitative methods to production systems. Familiarity with ads systems, auction theory, or related marketplace optimization problems. Experience working with large-scale data pipelines and real-time decision systems. Familiarity with machine learning techniques and applying machine learning in production systems. #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 . 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 $145,000 — $153,000 CAD

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. Overview The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, Targeting and advertiser-facing recommendations - converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while carefully balancing User Experience and Platform Revenue. We are looking for a Software Engineer II with a strong quantitative background to join our Toronto-based team. In this role, you will apply your expertise in mathematics, statistics, economics, or a related field to help build and refine the algorithmic systems that power how Instacart's advertising marketplace operates. You'll work alongside a talented team of scientists and engineers, contributing to production systems that have real, measurable impact on a scaled ads platform. If you're excited by the intersection of rigorous quantitative thinking and large-scale engineering, this is the role for you. About the Job Develop and evaluate models and algorithms for ads bidding, pacing, and budgeting, applying your training in mathematics, statistics, economics, or a related quantitative discipline to solve complex marketplace problems at scale. Collaborate closely with senior scientists, engineers and product managers to translate well-defined marketplace questions into mathematical formulations, implement analyses and prototypes, design experiments, and interpret results using large-scale data. Contribute to production systems through algorithm implementation, validation, and monitoring, progressively taking ownership of well-scoped projects from initial hypothesis through measurable impact. Operate in a fast-paced, constantly evolving environment where the ads marketplace shifts quickly — you'll need to balance rigor with speed, and thrive when priorities change and new challenges emerge. Communicate assumptions, findings, and limitations clearly to both technical and cross-functional partners, helping the team make better decisions through transparency and analytical clarity. About You Minimum Qualifications PhD in mathematics, statistics, economics, operations research, or a related quantitative discipline, with a strong foundation in at least one of the following areas: optimization, probability, statistical modeling, econometrics, or control theory. Proficiency in Python and SQL, with demonstrated ability to translate quantitative concepts into analyses, algorithm implementations, and experiments. Strong analytical and communication skills, including the ability to explain assumptions, methodologies, results, and limitations to both technical and cross-functional audiences. Preferred Qualifications 2+ years of software engineering experience, particularly in applying quantitative methods to production systems. Familiarity with ads systems, auction theory, or related marketplace optimization problems. Experience working with large-scale data pipelines and real-time decision systems. Familiarity with machine learning techniques and applying machine learning in production systems. #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 . 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 $145,000 — $153,000 CAD

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. Overview The Fulfillment Services team at Instacart is at the heart of building the picking technology platform that powers the fulfillment needs of the world's largest retailers and millions of customers. Our work directly shapes how shoppers experience their day-to-day work and how customers receive the quality orders they expect — and we're just getting started. We are looking for a Senior Engineering Manager to lead the Core Picking engineering team. As a Senior Engineering Manager for the Core Picking team at Instacart, you will lead the engineering team responsible for our core shopper picking experiences, supporting our mission to build the picking technology platform required to meet the fulfillment needs of the world's largest retailers and millions of customers. You will provide leadership in driving the stability, scalability, and extensibility of engineering systems that advance the shopper app’s picking experience. You will interface with engineering and product leaders across the company, as well as retailer leadership, to collaborate on facilitating new and innovative grocery picking solutions. As the leader of this team, you will develop Instacart's picking technology and provide shoppers with tools to work more efficiently in delivering quality orders for our customers. This is a high-impact leadership role where you will own the technical direction for a team of 10+ engineers, set the bar for enterprise-grade engineering quality, and help shape the future of how the world's largest retailers fulfill grocery orders. If you thrive in a fast-moving environment where the problems are complex, the stakes are high, and the opportunity to make a real difference is enormous, this role is for you. About the Job Define, communicate, and drive the technical vision and strategy for the team that supports the product strategy and key bets for the company, including new technical investments. Drive high-quality execution of key business outcomes of the team by overseeing the roadmap and enabling technical and product decisions. Create best practices for production services, ensuring an exemplary enterprise-grade experience for retailers. Lead, coach, and develop a team of 10+ engineers building the best in-class picking experience for retailers and shoppers. Lead the recruitment and hiring processes to build a high-performing team. About You Minimum Qualifications Proven track record as a hands-on technical leader, preferably at a Staff+ level in a similar industry. 10+ years of professional software engineering experience, including 4+ years managing engineers, with a track record leading teams of 15+ and delivering complex consumer or enterprise facing products. Ability to craft and execute strategic engineering roadmaps that align with business objectives. Highly structured and proactive communication capabilities. Experience in staffing, mentoring, and leading engineering teams to success. Effective cross-functional leadership. Experience working with product managers, EM peers, and senior ICs. Preferred Qualifications Experience leading multiple teams or managing managers, including scaling a team from early stages to 10+ engineers. Prior experience in managing engineering teams that oversee mission critical business systems. Experience building enterprise-grade software systems. Technical depth with Ruby on Rails, Go, Swift and/or Kotlin #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 . 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 $229,000 — $241,500 CAD

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. Overview The Fulfillment Services team at Instacart is at the heart of building the picking technology platform that powers the fulfillment needs of the world's largest retailers and millions of customers. Our work directly shapes how shoppers experience their day-to-day work and how customers receive the quality orders they expect — and we're just getting started. We are looking for a Senior Engineering Manager to lead the Core Picking engineering team. As a Senior Engineering Manager for the Core Picking team at Instacart, you will lead the engineering team responsible for our core shopper picking experiences, supporting our mission to build the picking technology platform required to meet the fulfillment needs of the world's largest retailers and millions of customers. You will provide leadership in driving the stability, scalability, and extensibility of engineering systems that advance the shopper app’s picking experience. You will interface with engineering and product leaders across the company, as well as retailer leadership, to collaborate on facilitating new and innovative grocery picking solutions. As the leader of this team, you will develop Instacart's picking technology and provide shoppers with tools to work more efficiently in delivering quality orders for our customers. This is a high-impact leadership role where you will own the technical direction for a team of 10+ engineers, set the bar for enterprise-grade engineering quality, and help shape the future of how the world's largest retailers fulfill grocery orders. If you thrive in a fast-moving environment where the problems are complex, the stakes are high, and the opportunity to make a real difference is enormous, this role is for you. About the Job Define, communicate, and drive the technical vision and strategy for the team that supports the product strategy and key bets for the company, including new technical investments. Drive high-quality execution of key business outcomes of the team by overseeing the roadmap and enabling technical and product decisions. Create best practices for production services, ensuring an exemplary enterprise-grade experience for retailers. Lead, coach, and develop a team of 10+ engineers building the best in-class picking experience for retailers and shoppers. Lead the recruitment and hiring processes to build a high-performing team. About You Minimum Qualifications Proven track record as a hands-on technical leader, preferably at a Staff+ level in a similar industry. 10+ years of professional software engineering experience, including 4+ years managing engineers, with a track record leading teams of 15+ and delivering complex consumer or enterprise facing products. Ability to craft and execute strategic engineering roadmaps that align with business objectives. Highly structured and proactive communication capabilities. Experience in staffing, mentoring, and leading engineering teams to success. Effective cross-functional leadership. Experience working with product managers, EM peers, and senior ICs. Preferred Qualifications Experience leading multiple teams or managing managers, including scaling a team from early stages to 10+ engineers. Prior experience in managing engineering teams that oversee mission critical business systems. Experience building enterprise-grade software systems. Technical depth with Ruby on Rails, Go, Swift and/or Kotlin #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 . 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 $229,000 — $241,500 CAD