
Instacart · Canada - Remote (ON
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...
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.
We are seeking a Senior Product Manager to own the vision, strategy, and execution for our In Store Tasks product. This role sits
at the intersection of shopper experience, retailer and CPG enablement and plays a big role in improving the reliability of
fulfillment for our customers.
Fulfillment quality is a critical driver of customer satisfaction and retailer trust at Instacart. You will define and deliver the
roadmap for Shoppers doing in-store tasks that will enable us to build in-store intelligence to better track inventory, item
location and ultimately fulfill orders accurately, efficiently, and at scale.
This role partners closely with a dedicated team of engineers, designers, and data scientists, and will collaborate broadly across
Shopper and Logistics teams to drive aligned priorities.
This role sits within the Inventory Intelligence team — responsible for the end-to-end technology that powers inventory and
in-store intelligence signals that are used across Instacart's platform and beyond, serving shoppers, retailers, CPGs and
customers alike.
This is an exciting opportunity to define the shopper flows using cutting edge CV technologies that build the foundations of our
Instore inventory intelligence. You will develop new capabilities and improve existing products to enable high quality and high
efficiency data collection that can scale to thousands of stores over the next 2 years.
inventory and store maps, monitoring and optimizing this as we scale.
accuracy, speed, and shopper satisfaction
features, and contribute to shopper, customer and retailer NPS and retention
make sound tradeoffs.
shared goals without direct authority.
commercial outcomes.
#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
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 is the leading grocery technology company in North America, partnering with more than 1,800 retail banners to provide online shopping, delivery and pickup services from more than 100,000 stores. Search is the single most important way customers find and add products to their cart, and Cross-Retailer Search is how we help people decide not just what to buy, but where to shop. Together they sit at the top of the discovery funnel, where improvements in relevance and ranking compound directly into conversion, retailer engagement, and growth. We are standing up a dedicated Search engineering team and are looking for a seasoned engineering leader to run it. You will own the strategy and execution for Single-Retailer Search (SRS), Cross-Retailer Search (XRS), search suggestions and typeahead, and the whitelabel search we provide to Storefront Pro retailers. This is a heavily ML-weighted team operating one of Instacart's largest revenue surfaces, and one of the most exciting frontiers in applied search and ranking. ABOUT THE JOB You will lead and grow a senior team of engineers, partnering with embedded MLEs and ML leads, responsible for the relevance, ranking, and infrastructure behind Instacart Search. In this role, you will: * Own the team's technical strategy, roadmap, and goals across Single and Cross retailer search, query understanding, suggestions, Ads on Search. * Drive top-line growth while holding a strict quality bar. * Champion the use of LLMs in search. * Partner with the platform team to design and ship the next-generation search retrieval architecture, while managing the latency and reliability tradeoffs of a tier-1 surface. * Double the team's experimentation velocity by investing in evaluation, AI-native debugging tooling, and ML foundations. * Partner closely with ML, Product, Data Science, the Home and Discovery Platform teams, the Ads organization, and whitelabel retailer teams to translate ranking changes into business and retailer outcomes. * Hire, develop, and coach engineers, and build an inclusive, high-trust team culture. You'll roll up your sleeves on technical and architectural decisions as needed, while spending most of your time setting direction, removing blockers, and growing the people on your team. MINIMUM QUALIFICATIONS * 4+ years of engineering management experience leading high-performing teams, with minimum 10+ years of total engineering experience. * Direct experience building or leading search, recommendations, ranking, or other applied ML systems, as a manager or as a senior individual contributor. * Familiarity with modern retrieval techniques, including neural/semantic retrieval, ANN, and LLM-based query understanding or re-ranking. * Strong technical depth across machine learning and large-scale distributed/backend systems; able to set direction with and earn the trust of staff-level engineers. * A track record of driving complex, cross-functional technical programs from strategy through launch while holding a high bar for quality and reliability. * Demonstrated product and business judgment: able to connect modeling and ranking decisions to metrics like conversion and revenue, and to reason through tradeoffs (e.g., relevance vs. latency, organic vs. ads). * Strong communication and stakeholder skills; comfortable bridging technical and non-technical partners. PREFERRED QUALIFICATIONS * Experience with ranking and personalization at scale: multi-stage rankers, multi-task deep models, embeddings, and real-time/session-based features. * Experience operating low-latency, high-throughput services with strict SLAs, including on-call and reliability ownership. * Experience leading a 0→1 or ambiguous product area, and driving alignment across teams where ownership boundaries are still forming. * Experience working with LLMs in production, and with experimentation/A-B testing infrastructure. * Exposure to two-sided marketplaces, e-commerce, or ads-adjacent ranking problems. #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 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 AI team is building B2B agentic AI products that help retailers and CPGs recover margin by tackling out-of-stock, shrink and waste, and fulfillment utilization. We aim to translate cutting-edge AI into practical, trustworthy solutions that move key financial levers for our customers. As a Product Manager, AI, you will own the vision, roadmap, and go-to-market for new agentic AI capabilities from 0 to 1. You’ll work backwards from customer outcomes — not technology trends — to define clear product requirements, partner closely with engineering and data science to ship value quickly, and collaborate with sales and marketing to craft a commercial motion that proves impact and scales revenue. You’ll join a small, focused team (alongside 2 PMs and 7 engineers to start) with the mandate and resources to move fast. If you thrive in ambiguity, love turning complex data and workflows into simple, outcome-driven products, and want to shape how AI transforms retail operations, this role is for you. ABOUT THE JOB * Own the product vision, strategy, and roadmap for agentic AI solutions that reduce out-of-stocks, shrink and waste, and improve fulfillment utilization for retailers and CPGs. * Work backwards from customer outcomes to write crisp problem statements, PRDs, and success metrics; prioritize ruthlessly to deliver v0, iterate to v1, and scale proven features. * Partner with engineering and data science to scope experiments, manage backlogs, define KPIs and evaluation frameworks, and ensure models and agents are reliable, safe, and observable. * Lead discovery with customers; design pilots and proof points; collaborate with sales and marketing on go-to-market, pricing and packaging, enablement, and case studies that drive revenue. * Own the business case: model unit economics and ROI, set financial targets for margin recovery/efficiency, and report performance to executives and external stakeholders. * Ensure data readiness and integrity by assessing data quality, telemetry, integrations, and feedback loops; implement human-in-the-loop and policy guardrails where appropriate. * Operate cross-functionally with data engineering, retailer success, enterprise sales, and BD to bring products from concept to launch and expansion. ABOUT YOU MINIMUM QUALIFICATIONS * 6+ years of product management experience building B2B or enterprise software, including 3+ years delivering AI/ML-powered products from concept through GA. * Proven record shipping at least 2 AI/ML products used by enterprise customers with measurable financial outcomes (e.g., margin improvement, cost reduction, or productivity gains). * Hands-on data proficiency, including the ability to query or analyze large datasets (e.g., SQL or equivalent) and evaluate data quality, model performance, and signal reliability. * Experience leading cross-functional execution with engineering, data science, design, sales, and marketing to launch and scale products. * Demonstrated ability to build ROI and unit economics models and present business cases to executive audiences. * Experience navigating complex enterprise sales cycles, including security, IT, and legal/procurement processes. * Exceptional written and verbal communication skills; able to translate technical concepts for commercial audiences and commercial concepts for technical audiences. * Bachelor’s degree in a technical, quantitative, or business field (e.g., Computer Science, Engineering, Mathematics, Economics) or equivalent practical experience. PREFERRED QUALIFICATIONS * Experience in grocery, retail, or supply chain with familiarity in store operations, inventory management, and key margin levers. * Exposure to agentic AI systems, LLM-based workflows, autonomous decision pipelines, prompt engineering, and AI evaluation/guardrail practices. * Background with demand forecasting, replenishment, or inventory optimization products and metrics (e.g., OSA, service level, shrink). * Familiarity with the retail tech stack, including WMS, POS, ERP/replenishment modules, EDI, and API-based integrations. * Experience displacing incumbents or winning competitive takeouts in enterprise accounts. * Early-career experience in management consulting, solutions architecture, or business analytics; comfortable running diagnostics and leading with financial outcomes. #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 $194,000—$204,500 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 Fraud, Appeasement & Identity (FAI) team protects the marketplace and everyone who depends on it—customers, shoppers, retailers, and brand partners. We build the systems that detect and prevent fraud across payments, accounts, and promotions; ensure that refunds and appeasements are fair, accurate, and resistant to abuse; and verify identity so that every transaction can be trusted. Our mission is to safeguard revenue and customer trust while keeping friction low, so the business can scale with confidence. We’re looking for a Senior Software Engineer to serve as a technical leader across FAI. In this role, you’ll define the technical strategy and architecture for critical trust surfaces real-time fraud detection, risk decisioning, appeasement and refund-abuse controls, and identity and account-verification workflows. You’ll partner closely with Product, Data Science and ML, Design, Fraud Operations, Legal, and external identity and risk vendors to deliver fast, safe, and scalable solutions. This is a high-impact role where your work directly influences fraud losses, customer trust, marketplace integrity, and our ability to scale sustainably while meeting regulatory and privacy standards. If you thrive in fast-moving, highly cross-functional environments and enjoy rolling up your sleeves to solve adversarial problems at scale, you’ll feel right at home here. We go far together, communicate with candor, and prioritize solutions where everyone can win. ABOUT THE JOB * Design, build, and operate significant components of FAI systems end to end—fraud detection, risk decisioning, appeasement/refund-abuse controls, and identity verification— delivering reliable, safe features as the platform scales to millions of customers and shoppers. * Contribute to the design of real-time and near-real-time risk decisioning systems that balance detection quality with customer experience, minimizing both fraud losses and false positives on good users. * Deliver business-critical trust initiatives (e.g., account-takeover prevention, payment and promo-abuse defense, appeasement-abuse controls, identity and eligibility verification), building auditable, privacy-first systems with strong observability and SLAs * Partner with Data Science and ML to productionize fraud and risk models—owning feature pipelines, model-serving infrastructure, and the feedback loops that keep detection effective against evolving adversaries. * Run large, cross-functional programs across multiple engineering and business teams; translate ambiguous, adversarial problem spaces into crisp technical plans, manage risk and dependencies, and unblock execution. * Mentor and develop engineers through design reviews, high-quality code practices, and clear technical standards; raise the technical bar and cultivate the next generation of technical leaders on the team. * Drive AI-first patterns into how the team builds - embedding AI and agentic automation into development procedures, code review, and operational runbooks, and establishing the standards and guardrails that let the team ship faster without compromising safety. * Champion the use of AI to strengthen detection itself - applying ML and LLM-based approaches to fraud, risk, and identity signals, and building the tooling and feedback loops that keep these systems effective against evolving adversaries. * Continuously improve the reliability, latency, and cost efficiency of trust services; establish and enforce SLOs, drive incident learnings, and champion secure-by-default, AI-augmented development workflows. ABOUT YOU MINIMUM QUALIFICATIONS * 5+ years of software engineering experience building and operating large-scale distributed systems, high-traffic services, or real-time decisioning platforms. * 2+ years owning end-to-end architecture and technical strategy for a domain or product area, from design through production operations. * Experience collaborating across teams and functions to ship cross-functional work * Proficiency in one or more backend languages (e.g., Go, Java, Python) and with modern cloud infrastructure (e.g., AWS or GCP) and data stores (e.g., Postgres, DynamoDB, Clickhouse, Redis). * Experience designing low-latency, high-availability systems that make automated decisions in the request path (e.g., risk scoring, rules/policy engines, or eligibility checks). * Experience designing systems involving sensitive data identity, payments, personal information, or similar with strong privacy and security best practices and auditability. * Hands-on experience applying AI and agentic automation to engineering workflows and a point of view on how to embed AI-driven patterns into how a team builds and operates. * Demonstrated mentorship and team development experience, including leveling up engineers through design guidance and rigorous code reviews. * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. PREFERRED QUALIFICATIONS * Direct experience with trust & safety, fraud, risk, identity/KYC, payments, or abuse-prevention systems in a high-scale marketplace or platform. * Experience partnering with Data Science/ML to deploy and operate models in production—feature stores, real-time inference, monitoring, and retraining loops. * Experience partnering with Legal/Policy on compliance-related work and navigating evolving regulatory requirements; familiarity with audit trails and policy engines. * Background in evaluating, integrating, and managing third-party identity, payments, or risk vendors; establishing technical SLAs; and executing zero-downtime migrations and fallback strategies. * Experience with experimentation platforms and analytics to measure detection quality, false-positive rates, and impact on customer experience. * Experience in marketplace, logistics, fintech, rideshare, or gig-economy environments. #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 $168,000—$177,500 USD