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 The Marketing Enablement & Technology (MET) team sits within Instacart's Marketing organization, building the systems, APIs, and data pipelines powering Instacart's Paid Marketing channels—one of our most substantial growth levers. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation. We're seeking a Senior Software Engineer to provide technical leadership for the Paid MarTech pod—driving the team's technical roadmap, making key architectural decisions for reusability and scalability, and enhancing team productivity through process evolution and tooling improvements. You'll lead cross-team initiatives, partner directly with senior Product and Marketing leaders on strategic decisions, and serve as a domain expert for marketing technology across the organization. About the Job Drive the team's technical roadmap and architectural decisions, balancing short and long-term investments to build reusable, scalable systems that serve current and future marketing needs. Enhance developer productivity by evolving processes, tools, and abstractions that improve team efficiency, system extensibility, and code quality across the codebase. Lead team-wide initiatives and propose strategic work on behalf of engineering management, partnering directly with senior Product and Marketing leaders on product design and technical decisions. Champion advanced observability, resilience (including chaos engineering and disaster recovery), cost optimization, and security-by-design principles across all team projects. Mentor engineers up to L5, act as a force multiplier through well-documented processes, and proactively resolve conflicts that block execution across teams. About You Minimum Qualifications 8–12 years of software engineering experience with demonstrated expertise leading technical roadmaps and making architectural decisions that impact team-level systems. Expert-level proficiency in Python with proven ability to design and implement reusable abstractions, frameworks, and patterns adopted across multiple projects. Deep technical knowledge of building scalable, high-throughput systems with comprehensive observability, cost efficiency, and security considerations. Demonstrated ability to partner with senior Product and Marketing leaders, significantly influencing product roadmap through identification of strategic technical opportunities. Proven track record of enhancing team productivity through process improvements, tooling development, and mentorship of senior engineers. Excellent communication and influence skills with ability to drive execution of cross-team and cross-functional initiatives while navigating organizational context and dependencies. Preferred Qualifications Experience defining and establishing infrastructure, tooling, and best practices for AI-assisted development across engineering teams. Deep expertise in ad tech platforms and marketing technology ecosystems, recognized as a domain expert within the organization. Track record of leading large-scale legacy system modernization efforts and strategically managing technical debt at team level. Experience establishing coding standards, architectural patterns, and technical review processes that elevate team quality. Demonstrated ability to proactively contribute during crises outside core technical expertise, serving as technical consultant for sub-pillar level initiatives. Experience collaborating with external teams on cross-pillar partnerships and acting as point of contact for technical collaboration. #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 Marketing Enablement & Technology (MET) team sits within Instacart's Marketing organization, building the systems, APIs, and data pipelines powering Instacart's Paid Marketing channels—one of our most substantial growth levers. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation. We're seeking a Senior Software Engineer to provide technical leadership for the Paid MarTech pod—driving the team's technical roadmap, making key architectural decisions for reusability and scalability, and enhancing team productivity through process evolution and tooling improvements. You'll lead cross-team initiatives, partner directly with senior Product and Marketing leaders on strategic decisions, and serve as a domain expert for marketing technology across the organization. About the Job Drive the team's technical roadmap and architectural decisions, balancing short and long-term investments to build reusable, scalable systems that serve current and future marketing needs. Enhance developer productivity by evolving processes, tools, and abstractions that improve team efficiency, system extensibility, and code quality across the codebase. Lead team-wide initiatives and propose strategic work on behalf of engineering management, partnering directly with senior Product and Marketing leaders on product design and technical decisions. Champion advanced observability, resilience (including chaos engineering and disaster recovery), cost optimization, and security-by-design principles across all team projects. Mentor engineers up to L5, act as a force multiplier through well-documented processes, and proactively resolve conflicts that block execution across teams. About You Minimum Qualifications 8–12 years of software engineering experience with demonstrated expertise leading technical roadmaps and making architectural decisions that impact team-level systems. Expert-level proficiency in Python with proven ability to design and implement reusable abstractions, frameworks, and patterns adopted across multiple projects. Deep technical knowledge of building scalable, high-throughput systems with comprehensive observability, cost efficiency, and security considerations. Demonstrated ability to partner with senior Product and Marketing leaders, significantly influencing product roadmap through identification of strategic technical opportunities. Proven track record of enhancing team productivity through process improvements, tooling development, and mentorship of senior engineers. Excellent communication and influence skills with ability to drive execution of cross-team and cross-functional initiatives while navigating organizational context and dependencies. Preferred Qualifications Experience defining and establishing infrastructure, tooling, and best practices for AI-assisted development across engineering teams. Deep expertise in ad tech platforms and marketing technology ecosystems, recognized as a domain expert within the organization. Track record of leading large-scale legacy system modernization efforts and strategically managing technical debt at team level. Experience establishing coding standards, architectural patterns, and technical review processes that elevate team quality. Demonstrated ability to proactively contribute during crises outside core technical expertise, serving as technical consultant for sub-pillar level initiatives. Experience collaborating with external teams on cross-pillar partnerships and acting as point of contact for technical collaboration. #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 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 Marketing Enablement & Technology (MET) team sits natively within Instacart's Marketing organization, owning the data foundations that power Paid Marketing, SEO, and Retailer Marketing attribution. These datasets directly inform how we allocate hundreds of millions of dollars in marketing spend and how we measure growth. We're hiring an Analytics Engineer II to help build and evolve the marketing analytics data foundation. In this role, you'll independently design and deliver high-quality, business-aware data models and pipelines that Data Scientists and Analysts trust — owning your work end-to-end, raising the quality bar through code reviews and design discussion, and growing toward broader technical ownership of marketing data. About the Job Marketing Analytics Data Development: Independently build and maintain high-quality dimensional data models and ETL pipelines that support marketing analytics across Paid Marketing, SEO, Retailer Marketing, and attribution — delivering complete data assets end-to-end with minimal oversight. Cross-functional Partnership: Work closely with Data Scientists, Analysts, and Marketing stakeholders to translate analytical needs and business questions into data requirements, and deliver trusted, decision-ready datasets. Data Quality Ownership: Own data quality for the models you build — writing tests, documentation, and monitoring, and resolving data issues at their root cause across the marketing workflows you support. Code Review & Design: Conduct thorough code reviews, write and share designs publicly before building, and apply simple, reusable modeling patterns that leave the codebase better than you found it. Pipeline Evolution & Observability: Improve existing marketing data pipelines to reduce manual effort and improve performance, enhance observability (logging, metrics, freshness and quality checks), and participate in incident response for the data platform. About You Minimum Qualifications 3–5 years of experience in Analytics Engineering, Data Engineering, or closely related roles, with hands-on ownership of production data models and pipelines. Strong SQL skills and hands-on experience building well-architected dimensional data models (star schemas, fact/dimension tables, SCDs). Hands-on experience with the modern data stack, including dbt, Snowflake, and Airflow. Working knowledge of marketing data and metrics — including paid media performance, attribution concepts, and channel-level measurement — or the ability to ramp quickly. Demonstrated ability to deliver complete data models and pipelines independently, manage multiple priorities, and write clean, well-documented, well-tested code. Effective communicator who can collaborate across data, marketing, and engineering teams to understand requirements and deliver solutions. Preferred Qualifications Experience partnering with Data Scientists on experimentation, attribution, or incrementality measurement. Familiarity with marketing platforms (ie Google Ads, Meta, Google Analytics, SEO tooling). Python experience for automation or advanced transformations. Comfort using AI-assisted developer tools to improve code quality and speed (e.g., generating tests, validating logic, comparing suggestions). Experience contributing to analytics engineering best practices such as testing, documentation, or data quality standards. #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 $139,000 — $146,500 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 Marketing Enablement & Technology (MET) team sits natively within Instacart's Marketing organization, owning the data foundations that power Paid Marketing, SEO, and Retailer Marketing attribution. These datasets directly inform how we allocate hundreds of millions of dollars in marketing spend and how we measure growth. We're hiring an Analytics Engineer II to help build and evolve the marketing analytics data foundation. In this role, you'll independently design and deliver high-quality, business-aware data models and pipelines that Data Scientists and Analysts trust — owning your work end-to-end, raising the quality bar through code reviews and design discussion, and growing toward broader technical ownership of marketing data. About the Job Marketing Analytics Data Development: Independently build and maintain high-quality dimensional data models and ETL pipelines that support marketing analytics across Paid Marketing, SEO, Retailer Marketing, and attribution — delivering complete data assets end-to-end with minimal oversight. Cross-functional Partnership: Work closely with Data Scientists, Analysts, and Marketing stakeholders to translate analytical needs and business questions into data requirements, and deliver trusted, decision-ready datasets. Data Quality Ownership: Own data quality for the models you build — writing tests, documentation, and monitoring, and resolving data issues at their root cause across the marketing workflows you support. Code Review & Design: Conduct thorough code reviews, write and share designs publicly before building, and apply simple, reusable modeling patterns that leave the codebase better than you found it. Pipeline Evolution & Observability: Improve existing marketing data pipelines to reduce manual effort and improve performance, enhance observability (logging, metrics, freshness and quality checks), and participate in incident response for the data platform. About You Minimum Qualifications 3–5 years of experience in Analytics Engineering, Data Engineering, or closely related roles, with hands-on ownership of production data models and pipelines. Strong SQL skills and hands-on experience building well-architected dimensional data models (star schemas, fact/dimension tables, SCDs). Hands-on experience with the modern data stack, including dbt, Snowflake, and Airflow. Working knowledge of marketing data and metrics — including paid media performance, attribution concepts, and channel-level measurement — or the ability to ramp quickly. Demonstrated ability to deliver complete data models and pipelines independently, manage multiple priorities, and write clean, well-documented, well-tested code. Effective communicator who can collaborate across data, marketing, and engineering teams to understand requirements and deliver solutions. Preferred Qualifications Experience partnering with Data Scientists on experimentation, attribution, or incrementality measurement. Familiarity with marketing platforms (ie Google Ads, Meta, Google Analytics, SEO tooling). Python experience for automation or advanced transformations. Comfort using AI-assisted developer tools to improve code quality and speed (e.g., generating tests, validating logic, comparing suggestions). Experience contributing to analytics engineering best practices such as testing, documentation, or data quality standards. #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 $139,000 — $146,500 CAD