Careers at Instacart

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 Enterprise AI team is building the next generation of intelligent solutions for retailers. We are seeking a Director of Enterprise AI Engineering and Machine Learning to lead the development of agentic AI products that help retailers solve complex business challenges and unlock new opportunities. In this role, you will work at the intersection of engineering, machine learning, data science, product, consulting, and forward-deployed engineering. You will partner directly with retailers and internal stakeholders to define ambitious opportunities, shape technical strategy, and deliver innovative solutions in a rapidly evolving, zero-to-one product environment. This is an opportunity to help establish a new area of innovation at Instacart while leading teams through the full product development lifecycle—from identifying customer needs and exploring emerging technologies to building, deploying, and scaling production-ready AI systems. About the Job Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart’s retail partners. Build, mentor, and inspire high-performing engineering and science teams, creating an environment that supports technical excellence, experimentation, and strong execution. Partner directly with retailers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business problems into impactful AI products. Guide the development of systems that combine advanced machine learning, data, software engineering, and agentic capabilities, with an emphasis on reliability, scalability, usability, and measurable customer value. Establish direction in a zero-to-one product space, balancing long-term technical strategy with the need to move quickly, learn from early deployments, and adapt to changing customer and business requirements. Represent Enterprise AI across the organization, communicating tradeoffs, progress, risks, and opportunities to senior stakeholders and building alignment across technical and commercial teams. You will be joining a fast-paced environment where the technology, customer needs, and product direction will continue to evolve. Success will require comfort with ambiguity, a willingness to engage deeply in both strategy and execution, and the judgment to make thoughtful decisions while building new capabilities from the ground up. About You Minimum Qualifications Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments. Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery. Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems. Strong understanding of machine learning development practices, software engineering principles, data systems, and the operational considerations required to scale AI applications. Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment. Preferred Qualifications Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence. Experience delivering applied machine learning products at significant scale, including systems used by external customers or business partners. Experience leading cross-functional initiatives that span engineering, machine learning, data science, product, consulting, and customer-facing teams. Experience working directly with retailers, commerce platforms, or other enterprise customers to translate operational challenges into technology solutions. A track record of creating clarity and momentum in zero-to-one product environments while maintaining high standards for quality, responsible development, and customer impact. #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 $313,000 — $330,500 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 Instacart’s Enterprise AI team is building the next generation of intelligent solutions for retailers. We are seeking a Director of Enterprise AI Engineering and Machine Learning to lead the development of agentic AI products that help retailers solve complex business challenges and unlock new opportunities. In this role, you will work at the intersection of engineering, machine learning, data science, product, consulting, and forward-deployed engineering. You will partner directly with retailers and internal stakeholders to define ambitious opportunities, shape technical strategy, and deliver innovative solutions in a rapidly evolving, zero-to-one product environment. This is an opportunity to help establish a new area of innovation at Instacart while leading teams through the full product development lifecycle—from identifying customer needs and exploring emerging technologies to building, deploying, and scaling production-ready AI systems. About the Job Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart’s retail partners. Build, mentor, and inspire high-performing engineering and science teams, creating an environment that supports technical excellence, experimentation, and strong execution. Partner directly with retailers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business problems into impactful AI products. Guide the development of systems that combine advanced machine learning, data, software engineering, and agentic capabilities, with an emphasis on reliability, scalability, usability, and measurable customer value. Establish direction in a zero-to-one product space, balancing long-term technical strategy with the need to move quickly, learn from early deployments, and adapt to changing customer and business requirements. Represent Enterprise AI across the organization, communicating tradeoffs, progress, risks, and opportunities to senior stakeholders and building alignment across technical and commercial teams. You will be joining a fast-paced environment where the technology, customer needs, and product direction will continue to evolve. Success will require comfort with ambiguity, a willingness to engage deeply in both strategy and execution, and the judgment to make thoughtful decisions while building new capabilities from the ground up. About You Minimum Qualifications Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments. Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery. Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems. Strong understanding of machine learning development practices, software engineering principles, data systems, and the operational considerations required to scale AI applications. Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment. Preferred Qualifications Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence. Experience delivering applied machine learning products at significant scale, including systems used by external customers or business partners. Experience leading cross-functional initiatives that span engineering, machine learning, data science, product, consulting, and customer-facing teams. Experience working directly with retailers, commerce platforms, or other enterprise customers to translate operational challenges into technology solutions. A track record of creating clarity and momentum in zero-to-one product environments while maintaining high standards for quality, responsible development, and customer impact. #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 $313,000 — $330,500 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 Instacart’s Enterprise AI team is building the next generation of intelligent solutions for retailers. We are seeking a Director of Enterprise AI Engineering and Machine Learning to lead the development of agentic AI products that help retailers solve complex business challenges and unlock new opportunities. In this role, you will work at the intersection of engineering, machine learning, data science, product, consulting, and forward-deployed engineering. You will partner directly with retailers and internal stakeholders to define ambitious opportunities, shape technical strategy, and deliver innovative solutions in a rapidly evolving, zero-to-one product environment. This is an opportunity to help establish a new area of innovation at Instacart while leading teams through the full product development lifecycle—from identifying customer needs and exploring emerging technologies to building, deploying, and scaling production-ready AI systems. About the Job Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart’s retail partners. Build, mentor, and inspire high-performing engineering and science teams, creating an environment that supports technical excellence, experimentation, and strong execution. Partner directly with retailers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business problems into impactful AI products. Guide the development of systems that combine advanced machine learning, data, software engineering, and agentic capabilities, with an emphasis on reliability, scalability, usability, and measurable customer value. Establish direction in a zero-to-one product space, balancing long-term technical strategy with the need to move quickly, learn from early deployments, and adapt to changing customer and business requirements. Represent Enterprise AI across the organization, communicating tradeoffs, progress, risks, and opportunities to senior stakeholders and building alignment across technical and commercial teams. You will be joining a fast-paced environment where the technology, customer needs, and product direction will continue to evolve. Success will require comfort with ambiguity, a willingness to engage deeply in both strategy and execution, and the judgment to make thoughtful decisions while building new capabilities from the ground up. About You Minimum Qualifications Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments. Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery. Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems. Strong understanding of machine learning development practices, software engineering principles, data systems, and the operational considerations required to scale AI applications. Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment. Preferred Qualifications Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence. Experience delivering applied machine learning products at significant scale, including systems used by external customers or business partners. Experience leading cross-functional initiatives that span engineering, machine learning, data science, product, consulting, and customer-facing teams. Experience working directly with retailers, commerce platforms, or other enterprise customers to translate operational challenges into technology solutions. A track record of creating clarity and momentum in zero-to-one product environments while maintaining high standards for quality, responsible development, and customer impact. #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 $313,000 — $330,500 USD WA $301,000 — $317,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $287,000 — $303,000 USD All other states $261,000 — $275,500 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 We are looking for a Senior Data Scientist to lead the Meals initiative — one of Instacart's top strategic priorities for 2027. This role is focused on scaling data science work following the MVP launch, with metric tracking and experimentation at the core. You will play a key role in driving engagement, activations, and reactivations for Instacart through a high-visibility, high-impact 0→1 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design. About the Job Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation Drive experimentation strategy — from hypothesis definition to analysis and recommendation — to guide product decisions Partner closely with Product Managers, Engineers, and Designers to align on strategy and communicate data-driven insights Contribute to a 0→1 initiative at a critical inflection point, helping define what success looks like at scale About You Minimum Qualifications Proven experience in consumer-facing product data science, partnering closely with Product Managers, Engineering Leads, and Data Engineers Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling Experience defining KPIs, and optimizing funnel for product market fit Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders 4+ years of work experience in a data science or related field Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience Preferred Qualifications Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes. Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects. Proven impact improving logging, instrumentation, and metric definitions in complex data environments. Experience launching new features in new markets, or launching 0-1 initiatives #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 $161,000 — $170,000 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 We are looking for a Senior Data Scientist to lead the Meals initiative — one of Instacart's top strategic priorities for 2027. This role is focused on scaling data science work following the MVP launch, with metric tracking and experimentation at the core. You will play a key role in driving engagement, activations, and reactivations for Instacart through a high-visibility, high-impact 0→1 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design. About the Job Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation Drive experimentation strategy — from hypothesis definition to analysis and recommendation — to guide product decisions Partner closely with Product Managers, Engineers, and Designers to align on strategy and communicate data-driven insights Contribute to a 0→1 initiative at a critical inflection point, helping define what success looks like at scale About You Minimum Qualifications Proven experience in consumer-facing product data science, partnering closely with Product Managers, Engineering Leads, and Data Engineers Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling Experience defining KPIs, and optimizing funnel for product market fit Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders 4+ years of work experience in a data science or related field Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience Preferred Qualifications Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes. Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects. Proven impact improving logging, instrumentation, and metric definitions in complex data environments. Experience launching new features in new markets, or launching 0-1 initiatives #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 $161,000 — $170,000 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 We are looking for a Senior Data Scientist to lead the Meals initiative — one of Instacart's top strategic priorities for 2027. This role is focused on scaling data science work following the MVP launch, with metric tracking and experimentation at the core. You will play a key role in driving engagement, activations, and reactivations for Instacart through a high-visibility, high-impact 0→1 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design. About the Job Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation Drive experimentation strategy — from hypothesis definition to analysis and recommendation — to guide product decisions Partner closely with Product Managers, Engineers, and Designers to align on strategy and communicate data-driven insights Contribute to a 0→1 initiative at a critical inflection point, helping define what success looks like at scale About You Minimum Qualifications Proven experience in consumer-facing product data science, partnering closely with Product Managers, Engineering Leads, and Data Engineers Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling Experience defining KPIs, and optimizing funnel for product market fit Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders 4+ years of work experience in a data science or related field Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience Preferred Qualifications Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes. Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects. Proven impact improving logging, instrumentation, and metric definitions in complex data environments. Experience launching new features in new markets, or launching 0-1 initiatives #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 $194,000 — $204,500 USD WA $185,000 — $195,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $177,000 — $187,000 USD All other states $161,000 — $170,000 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 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 . 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 $192,000 — $202,500 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 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 . 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 $192,000 — $202,500 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 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